Computer Science BS

Tuition Fee

Start Date

Medium of studying

Duration

Program Facts

About Program

About University

Admission Requirements

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Program Facts

Program Details

Degree

Bachelors

Major

Artificial Intelligence | Computer Science | Software Engineering

Area of study

Information and Communication Technologies

Course Language

English

About Program

Program Overview

Computer Science Bachelor of Science Degree

Overview

Specialize in AI, robotics, cybersecurity, graphics, and more with RIT’s flexible and powerful computer science degree.

Careers and Co-op

Typical Job Titles

Associate Software Engineer
Automation Engineer
Developer
Full Stack Developer
Programmer/Analyst
QA Test Engineer
Senior Software Engineer
Software Developer
Software Engineer
Technology Analyst

Industries

Defense
Electronic and Computer Hardware
Health Care
Internet and Software
Research
Financial Services

Curriculum

First Year

CSCI-141: Computer Science I (General Education)
CSCI-142: Computer Science II (General Education)
MATH-181: Calculus I (General Education – Mathematical Perspective A)
MATH-182: Calculus II (General Education – Mathematical Perspective B)
MATH-190: Discrete Mathematics for Computing (General Education)
YOPS-10: RIT 365: RIT Connections
General Education – Ethical Perspective
General Education – Artistic Perspective
General Education – Global Perspective
General Education – Social Perspective
General Education – First-Year Writing (WI)

Second Year

CSCI-099: Undergraduate Cooperative Education Seminar
CSCI-243: The Mechanics of Programming
CSCI-488: Undergraduate Summer Co-op
Choose one of the following:
- CSCI-261: Analysis of Algorithms
- CSCI-264: Honors Analysis of Algorithms
Choose one of the following:
- CSCI-262: Introduction to Computer Science Theory
- CSCI-263: Honors Introduction to Computer Science Theory
MATH-241: Linear Algebra (General Education)
MATH-251: Probability and Statistics (General Education)
SWEN-261: Introduction to Software Engineering
General Education – Natural Science Inquiry Perspective: Lab Science I
General Education – Scientific Principles Perspective
General Education – Elective: Lab Science II
General Education – Elective

Third Year

CSCI-250: Concepts of Computer Systems
CSCI-320: Principles of Data Management
CSCI-331: Introduction to Artificial Intelligence
CSCI-499: Computer Science Undergraduate Co-op (spring)
Open Elective
General Education – Immersion 1 (WI)

Fourth Year

CSCI-251: Concepts of Parallel and Distributed Systems
CSCI-344: Programming Language Concepts
CSCI-472: Historical and Current Perspectives in Computer Science (WI-PR)
Open Electives
CS Electives
General Education – Immersion 2

Fifth Year

CSCI-499: Computer Science Undergraduate Co-op (fall)
CS Elective
General Education – Immersion 3
General Education – Elective
Open Electives

Combined Accelerated Bachelor's/Master's Degrees

Computer Science, BS/MS degree, typical course sequence

First Year:
- CSCI-141: Computer Science I (General Education)
- CSCI-142: Computer Science II (General Education)
- MATH-181: Calculus I (General Education – Mathematical Perspective A)
- MATH-182: Calculus II (General Education – Mathematical Perspective B)
- MATH-190: Discrete Mathematics for Computing (General Education)
- YOPS-10: RIT 365: RIT Connections
- General Education – Ethical Perspective
- General Education – Artistic Perspective
- General Education – Global Perspective
- General Education – Social Perspective
- General Education – First-Year Writing (WI)
Second Year:
- CSCI-099: Undergraduate Cooperative Education Seminar
- CSCI-243: The Mechanics of Programming
- CSCI-488: CS Undergraduate Summer Co-op (summer)
- Choose one of the following:
  - CSCI-261: Analysis of Algorithms
  - CSCI-264: Honors Analysis of Algorithms
- Choose one of the following:
  - CSCI-262: Introduction to Computer Science Theory
  - CSCI-263: Honors Introduction to Computer Science Theory
- MATH-241: Linear Algebra (General Education)
- MATH-251: Probability and Statistics (General Education)
- SWEN-261: Introduction to Software Engineering
- General Education – Natural Science Inquiry Perspective: Lab Science I
- General Education – Scientific Principles Perspective
- General Education – Elective: Lab Science II
- General Education – Elective
Third Year:
- CSCI-250: Concepts of Computer Systems
- CSCI-320: Principles of Data Management
- CSCI-331: Introduction to Artificial Intelligence
- CSCI-499: Computer Science Undergraduate Co-op (spring)
- Open Elective
- General Education – Immersion 1 (WI)
Fourth Year:
- CSCI-251: Concepts of Parallel and Distributed Systems
- CSCI-344: Programming Language Concepts
- CSCI-472: Historical and Current Perspectives in Computer Science (WI-PR)
- Open Electives
- CS Electives
- General Education – Immersion 2
Fifth Year:
- CSCI-499: Computer Science Undergraduate Co-op (fall)
- CS Elective
- General Education – Immersion 3
- General Education – Elective
- Open Electives
Sixth Year:
- CSCI-610: Fundamentals of Computer Graphics
- CSCI-631: Foundations of Computer Vision
- CSCI-664: Computational Complexity
- CSCI-799: Computer Science Graduate Independent Study
- CSCI-790: Computer Science MS Thesis

Computer Science, BS degree/Cybersecurity, MS degree, typical course sequence

First Year:
- CSCI-141: Computer Science I (General Education)
- CSCI-142: Computer Science II (General Education)
- MATH-181: Calculus I (General Education – Mathematical Perspective A)
- MATH-182: Calculus II (General Education – Mathematical Perspective B)
- MATH-190: Discrete Mathematics for Computing (General Education)
- YOPS-10: RIT 365: RIT Connections
- General Education – Ethical Perspective
- General Education – Artistic Perspective
- General Education – Global Perspective
- General Education – Social Perspective
- General Education – First-Year Writing (WI)
Second Year:
- CSCI-099: Undergraduate Cooperative Education Seminar
- CSCI-243: The Mechanics of Programming
- CSCI-488: Computer Science Undergraduate Co-op (summer)
- Choose one of the following:
  - CSCI-261: Analysis of Algorithms
  - CSCI-264: Honors Analysis of Algorithms
- Choose one of the following:
  - CSCI-262: Introduction to Computer Science Theory
  - CSCI-263: Honors Introduction to Computer Science Theory
- MATH-241: Linear Algebra (General Education)
- MATH-251: Probability and Statistics (General Education)
- SWEN-261: Introduction to Software Engineering
- General Education – Natural Science Inquiry Perspective: Lab Science I
- General Education – Scientific Principles Perspective
- General Education – Elective: Lab Science II
- General Education – Elective
Third Year:
- CSCI-250: Concepts of Computer Systems
- CSCI-320: Principles of Data Management
- CSCI-331: Introduction to Artificial Intelligence
- CSCI-499: Computer Science Undergraduate Co-op (spring)
- Open Elective
- General Education – Immersion 1 (WI)
Fourth Year:
- CSCI-251: Concepts of Parallel and Distributed Systems
- CSCI-344: Programming Language Concepts
- CSCI-472: Historical and Current Perspectives in Computer Science (WI-PR)
- CSEC-600: Open Elective: Introduction to Computing Security
- Open Elective
- Open Elective/CSEC Graduate Elective
- CS Electives
- General Education – Immersion 2
Fifth Year:
- CSCI-499: Computer Science Undergraduate Co-op (fall)
- CS Elective
- General Education – Immersion 3
- General Education – Elective
- Open Electives/CSEC Graduate Elective
Sixth Year:
- CSEC-604: Cryptography and Authentication
- CSEC-742: Computer System Security
- CSEC Graduate Elective
- CSEC Research Electives
- Choose one of the following culminating experiences:
  - CSEC-790: MS Thesis
  - CSEC Research Elective, plus one (1) additional CSEC Graduate Elective

Computer Science, BS degree/Software Engineering, MS degree, typical course sequence

First Year:
- CSCI-141: Computer Science I
- CSCI-142: Computer Science II
- MATH-181: Calculus I (General Education – Mathematical Perspective A)
- MATH-182: Calculus II (General Education – Mathematical Perspective B)
- MATH-190: Discrete Mathematics for Computing (General Education – Elective)
- YOPS-10: RIT 365: RIT Connections
- General Education – First-Year Writing (WI)
- General Education – Ethical Perspective
- General Education – Artistic Perspective
- General Education – Global Perspective
- General Education – Social Perspective
Second Year:
- CSCI-099: Undergraduate Co-operative Education Seminar
- CSCI-243: The Mechanics of Programming
- CSCI-488: CS Undergraduate Summer Co-op (summer)
- Choose one of the following:
  - CSCI-262: Introduction to Computer Science Theory
  - CSCI-263: Honors Introduction to Computer Science Theory
- MATH-241: Linear Algebra (General Education – Elective)
- MATH-251: Probability and Statistics (General Education – Elective)
- Choose one of the following:
  - CSCI-261: Analysis of Algorithms
  - CSCI-264: Honors Analysis of Algorithms
- SWEN-261: Introduction to Software Engineering
- General Education – Elective
- General Education – Natural Science Perspective: Lab Science I
- General Education – Elective: Lab Science II
- General Education – Scientific Principles Perspective
Third Year:
- CSCI-250: Concepts of Computer Systems
- CSCI-320: Principles of Data Management
- CSCI-331: Introduction to Artificial Intelligence
- CSCI-499: Computer Science Undergraduate Co-op (spring)
- General Education – Immersion 1 (WI)
- Open Elective
Fourth Year:
- CSCI-251: Concepts of Parallel and Distributed Systems
- CSCI-344: Programming Language Concepts
- CSCI-472: Historical & Current Perspectives in Computer Science (WI-PR)
- SWEN-732: Collaborative Software Development
- SWEN-746: Model-Driven Development
- General Education – Immersion 2
- Computer Science Elective
- Open Electives
Fifth Year:
- CSCI-499: Computer Science Undergraduate Co-op (fall)
- SWEN-640: Research Methods
- General Education – Immersion 3
- General Education – Elective
- Open Electives
Sixth Year:
- SWEN-755: Software Architecture
- SWEN-777: Software Quality Assurance
- SWEN-780: Graduate Capstone
- CSCI Graduate Cluster Elective
- CSCI Graduate Elective
- Choose one of the following SWEN Graduate Electives:
  - SWEN-614: Engineering Cloud Software Systems
  - SWEN-711: Engineering Self-Adaptive Software Systems With Reinforcement Learning

Admissions and Financial Aid

This program is STEM designated when studying on campus and full time.

First-Year Admission

First-year applicants are expected to demonstrate a strong academic background that includes:

4 years of English
3 years of social studies and/or history
4 years of mathematics is required and must include algebra, geometry, algebra 2/trigonometry, and pre-calculus. Calculus ispreferred.
2-3 years of science is required and must include chemistryor physics; both arepreferred.
Computing electives are preferred.

Transfer Admission

Transfer applicants should meet these minimum degree-specific requirements:

A minimum of precalculus is required. Calculus ispreferred.
Chemistry or physics is required.
Computing courses are preferred.

Accreditation

The BS degree in Computer Science is accredited by the Computing Accreditation Commission of ABET, under the General Criteria and the Computer Science Program Criteria.

Program Outline

Computer science covers a wide spectrum of areas within the field of computing, ranging from theoretical to practical. As a computer scientist, you can specialize in areas such as intelligent systems (i.e., artificial intelligence), computer graphics, computer theory, data management, distributed and parallel computing, systems software, or computer security.

While programming is necessary, computer scientists must also be adaptable and adept at problem-solving and analytical reasoning, able to understand design principles, mathematical theory, and fluent technical applications of computer science. RIT prepares you to be well versed in all these aspects including programming because most employers look for students who are good computer scientists, but also understand the tools and techniques of mathematics, science, and industry, and are able to communicate effectively.

RIT’s Computer Science Degree

You will take a core of computer science courses that provide a solid foundation for advanced work. Building on this base, explore a variety of specializations in your third, fourth, and fifth years. In addition, you will develop a broad appreciation for computer applications and the effect of computers on society via program electives, general education courses, and various free electives, which can be used to complete a minor.

The computer science bachelor’s degree provides you with both a broad and deep foundation in theory and modern software and hardware concepts as well as introduces you to numerous programming languages and paradigms. RIT offers you the opportunity to engage in significant programming and software development work, or in both traditional and applied research.

In addition to required computer science BS courses, you may take computer science electives in areas such as architecture and operating systems; computer graphics and visualization; data management; distributed systems; artificial intelligence; languages and tools; security; and theory.

Students who graduate from our computer science degree are able to:

Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions (problem solving).
Design, implement, and evaluate a computing based solution to meet a given set of computing requirements in the context of the program’s discipline (software development/engineering).
Communicate effectively in a variety of professional contexts (communication).
Recognize professional responsibilities and make informed judgments in computing practices based on legal and ethical principles (ethics/legal).
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline (teamwork).
Apply computer science theory and software development fundamentals to produce computing-based solutions (theory/application).
Demonstrate advanced knowledge of a selected area within the computer science discipline (advanced knowledge).

Careers in Computer Science

Employers not only look for students who have strong technical skills, but who also understand mathematics, science, and the importance of effective communication. The computer science degree provides students with a solid foundation in mathematics, science, liberal arts and an opportunity to take outside electives, complementing the program's strong technical core.

Combined Accelerated Bachelor’s/Master’s Degrees

Today’s careers require advanced degrees grounded in real-world experience. RIT’s Combined Accelerated Bachelor’s/Master’s Degrees enable you to earn both a bachelor’s and a master’s degree in as little as five years of study, all while gaining the valuable hands-on experience that comes from co-ops, internships, research, study abroad, and more.

+1 MBA: Students who enroll in a qualifying undergraduate degree have the opportunity to add an MBA to their bachelor’s degree after their first year of study, depending on their program. Learn how the +1 MBA can accelerate your learning and position you for success.

Typical Job Titles

Associate Software Engineer	Automation Engineer
Developer	Full Stack Developer
Programmer/Analyst	QA Test Engineer
Senior Software Engineer	Software Developer
Software Engineer	Technology Analyst

Salary and Career Information for Computer Science BS

Cooperative Education

What’s different about an RIT education? It’s the career experience you gain by completing cooperative education and internships with top companies in every single industry. You’ll earn more than a degree. You’ll gain real-world career experience that sets you apart. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries.

Co-ops and internships take your knowledge and turn it into know-how. Your computing co-ops will provide hands-on experience that enables you to apply your computing knowledge in professional settings while you make valuable connections between classwork and real-world applications.

Students in the computer science degree are required to complete three blocks of cooperative education experience.

About University

PhD

Masters

Bachelors

Diploma

Courses

Rochester Institute of Technology

Rochester Institute of Technology (Dubai)

Overview:

Rochester Institute of Technology (Dubai) is a branch campus of the renowned Rochester Institute of Technology in the United States. Located in Dubai Silicon Oasis, a special economic zone for knowledge and innovation, RIT Dubai offers a comprehensive range of undergraduate and graduate programs in various fields, including engineering, business, computing, and design. The institution is committed to providing students with a high-quality American education in a dynamic and international setting.

Services Offered:

RIT Dubai provides a wide array of services to support student success, including:

Academic Support Center:

Offers tutoring, study skills workshops, and other resources to enhance academic performance.

Advising Resources:

Provides guidance on academic planning, career exploration, and personal development.

Health and Wellness:

Offers access to healthcare services, counseling, and wellness programs.

Athletics and Recreation:

Provides opportunities for students to participate in sports, fitness activities, and recreational programs.

Student Leadership:

Encourages student involvement in clubs, organizations, and leadership initiatives.

Student Accommodation:

Offers on-campus housing options for students.

Parking and Transportation:

Provides parking facilities and transportation services for students.

Student Life and Campus Experience:

RIT Dubai fosters a vibrant and inclusive campus community where students can engage in a variety of activities and experiences, including:

Student Life at RIT Dubai:

Offers opportunities for students to connect with peers, participate in social events, and explore cultural activities.

New Student Orientation:

Provides a welcoming introduction to campus life and resources.

Co-op and Internship Program:

Offers students practical work experience through co-op and internship opportunities.

Key Reasons to Study There:

American Degree:

RIT Dubai offers a true American degree, recognized globally for its quality and rigor.

State-of-the-Art Campus:

The campus features modern facilities and technology to support learning and research.

Co-op and Internship Program:

Provides students with valuable work experience and career development opportunities.

Study Abroad Options:

Offers students the chance to study at other RIT campuses or partner institutions around the world.

Global Connectivity:

RIT Dubai is located in a dynamic and international hub, providing students with diverse perspectives and networking opportunities.

Academic Programs:

RIT Dubai offers a range of undergraduate and graduate programs, including:

Undergraduate Programs:

Bachelor of Fine Arts in New Media Design
Bachelor of Science in Psychology
Bachelor of Science in Industrial Engineering
Bachelor of Science in Cybersecurity
Bachelor of Science in Computing and Information Technologies
Bachelor of Science in Electrical Engineering
Bachelor of Science in Mechanical Engineering
Bachelor of Science in Marketing
Bachelor of Science in Finance
Bachelor of Science in Global Business Management

Graduate Programs:

Master of Science in Organizational Leadership and Innovation
Masters of Science in Professional Studies: Future Foresight and Planning
Masters of Science in Engineering Management
Masters of Science in Mechanical Engineering
Masters of Science in Professional Studies: Data Analytics
Masters of Science in Professional Studies: Smart Cities
Masters of Science in Cybersecurity
Masters of Science in Electrical Engineering

Other:

RIT Dubai has a strong focus on innovation and entrepreneurship, with dedicated labs and centers supporting student projects and research.
The institution boasts a diverse student body representing over 75 nationalities, creating a rich and multicultural learning environment.
RIT Dubai has a high employability rate, with over 80% of graduates securing employment within six months of graduation.
The institution has a strong network of alumni, providing students with valuable connections and career support.

Total programs

226

Average ranking globally

#442

Average ranking in the country

#132

Admission Requirements

View Printable Curriculum

Computer Science, BS degree, typical course sequence

Course		Sem. Cr. Hrs.
First Year
CSCI-141	Computer Science I (General Education)	4
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring).
CSCI-142	Computer Science II (General Education)	4
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).
MATH-181	Calculus I (General Education – Mathematical Perspective A)	4
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer).
MATH-182	Calculus II (General Education – Mathematical Perspective B)	4
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer).
MATH-190	Discrete Mathematics for Computing (General Education)	3
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring).
YOPS-10	RIT 365: RIT Connections	0
RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring).
	General Education – Ethical Perspective	3
	General Education – Artistic Perspective	3
	General Education – Global Perspective	3
	General Education – Social Perspective	3
	General Education – First-Year Writing (WI)	3
Second Year
CSCI-099	Undergraduate Cooperative Education Seminar	0
This seminar helps students prepare for Computer Science co-operative education employment (“co-op”) by developing job search strategies and materials, and reviewing relevant policies. Students are introduced to RIT’s Office of Career Services and Cooperative Education, and learn about professional and ethical responsibilities for their co-op and subsequent professional experiences. Completion of this seminar and the related assignments are required before a CS student can be registered for co-op. (Prerequisites: This class is restricted to COMPSCI-BS or COMPEX-UND Major students with at least 2nd year standing.) Lecture 1 (Fall, Spring).
CSCI-243	The Mechanics of Programming	3
Students will be introduced to the details of program structure and the mechanics of execution as well as supportive operating system features. Security and performance issues in program design will be discussed. The program translation process will be examined. Programming assignments will be required. (Prerequisite: C- or better in CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lecture 3 (Fall, Spring, Summer).
CSCI-488	Undergraduate Summer Co-op	0
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for summer term, we expect that students will work a minimum of 10 weeks and work a minimum of 35 hours per week. CO OP (Summer).
		3
CSCI-261	Analysis of Algorithms
This course provides an introduction to the design and analysis of algorithms. It covers a variety of classical algorithms and data structures and their complexity and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-264	Honors Analysis of Algorithms
This course provides a challenging introduction to the design and analysis of algorithms with an emphasis on problem solving and algorithmic research. It covers a variety of classical algorithms and data structures and their complexity, as well as deeper coverage of more advanced material; for example, linear programming, approximation algorithms, and randomized algorithms. The course will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall).
		3
CSCI-262	Introduction to Computer Science Theory
This course provides an introduction to the theory of computation, including formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-263	Honors Introduction to Computer Science Theory
This course provides a challenging introduction to the theory of computation with an emphasis on problem solving. Topics include formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall).
MATH-241	Linear Algebra (General Education)	3
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring).
MATH-251	Probability and Statistics I (General Education)	3
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).
SWEN-261	Introduction to Software Engineering	3
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring).
	General Education – Natural Science Inquiry Perspective‡	4
	General Education – Scientific Principles Perspective	3
	General Education – Elective‡	4
	General Education – Elective	3
Third Year
CSCI-250	Concepts of Computer Systems	3
An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. Topics include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required. (Prerequisites: (CSCI-243 or 4003-334) and (MATH-190 or MATH-200 or 1016-366) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-320	Principles of Data Management	3
This course provides a broad introduction to the principles and practice of modern data management, with an emphasis on the relational database model. Topics in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students will also learn approaches to building relational database application programs. Additional topics include object-oriented and object-relational databases; semi-structured databases (such as XML); and information retrieval. A database project is required. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-331	Introduction to Artificial Intelligence	3
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-251 or STAT-205) or equivalent courses. Students cannot take and receive credit for this course if they have taken CSCI-630.) Lecture 3 (Fall, Spring, Summer).
CSCI-499	Computer Science Undergraduate Co-op (spring)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	Open Elective	3
	General Education – Immersion 1 (WI)	3
Fourth Year
CSCI-251	Concepts of Parallel and Distributed Systems	3
This course is an introduction to the organization and programming of systems comprising multiple computers. Topics include the organization of multi-core computers, parallel computer clusters, computing grids, client-server systems, and peer-to-peer systems; computer networks and network protocols; network security; multi-threaded programming; and network programming. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-262 or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-344	Programming Language Concepts	3
This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-250 or IGME-309 or 4003-334 or 4010-361 or 4080-487) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
		3
CSCI-471	Professional Communications (WI-PR)
This course focuses on developing and improving verbal and written communication skills specific to the discipline of computer science. Topics include the different forms of writing in computer science (books, theses, journal articles, technical reports, manuscripts, etc.), writing styles of computer scientists, document readability and usability, documents for career readiness, effective presentations, teamwork and peer review, research methods, experimentation, documenting mathematics and algorithms, proper formatting of graphs, figures, and tables, and ethical, social, and professional issues facing Computer Scientists. This course is approved as Writing Intensive. (This class is restricted to students with at least 4th year standing COMPSCI-BS or COMPSCI-2M) Lecture 3 (Fall, Spring, Summer).
CSCI-472	Historical & Current Perspectives in Computer Science (WI-PR)
Students who have a background in Computer Science theories, algorithms, and data structures will be provided a look at the history of Computer Science from science and ethical perspectives. Topics include an early history of Computer Science, a study of the people who shaped Computer Science, and a discussion of major milestones in Computer Science. Additionally, students will study ethical issues in Computer Science and how past issues affect modern designs and decision making as well as the ethical decisions that need to be made by computer scientists. Students will be required to work in teams on several assignments. Papers, presentations, and oral presentations are required. Note: With department permission, this course may be used as an alternative to CSCI-471 towards the Computer Science BS degree. (Prerequisites: This class is restricted to students with at least 4th year standing.) Lecture 3 (Fa/sp/su).
	Open Electives	9
	CS Electives	6
	CS Elective§	3
	General Education – Immersion 2	3
Fifth Year
CSCI-499	Computer Science Undergraduate Co-op (fall)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	CS Elective§	3
	General Education – Immersion 3	3
	General Education – Elective	3
	Open Electives	6
Total Semester Credit Hours		126

Please see General Education Curriculum (GE) for more information.

(WI) Refers to a writing intensive course within the major.

Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.

§ Two computer science elective courses must come from the same CS cluster.

Combined Accelerated Bachelor's/Master's Degrees

The curriculum below outlines the typical course sequence(s) for combined accelerated degrees available with this bachelor's degree.

Computer Science, BS/MS degree, typical course sequence

Course		Sem. Cr. Hrs.
First Year
CSCI-141	Computer Science I (General Education)	4
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring).
CSCI-142	Computer Science II (General Education)	4
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).
MATH-181	Calculus I (General Education – Mathematical Perspective A)	4
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer).
MATH-182	Calculus II (General Education – Mathematical Perspective B)	4
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer).
MATH-190	Discrete Mathematics for Computing (General Education)	3
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring).
YOPS-10	RIT 365: RIT Connections	0
RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring).
	General Education – Ethical Perspective	3
	General Education – Artistic Perspective	3
	General Education – Global Perspective	3
	General Education – Social Perspective	3
	General Education – First Year Writing (WI)	3
Second Year
CSCI-099	Undergraduate Cooperative Education Seminar	0
This seminar helps students prepare for Computer Science co-operative education employment (“co-op”) by developing job search strategies and materials, and reviewing relevant policies. Students are introduced to RIT’s Office of Career Services and Cooperative Education, and learn about professional and ethical responsibilities for their co-op and subsequent professional experiences. Completion of this seminar and the related assignments are required before a CS student can be registered for co-op. (Prerequisites: This class is restricted to COMPSCI-BS or COMPEX-UND Major students with at least 2nd year standing.) Lecture 1 (Fall, Spring).
CSCI-243	The Mechanics of Programming	3
Students will be introduced to the details of program structure and the mechanics of execution as well as supportive operating system features. Security and performance issues in program design will be discussed. The program translation process will be examined. Programming assignments will be required. (Prerequisite: C- or better in CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lecture 3 (Fall, Spring, Summer).
CSCI-488	CS Undergraduate Summer Co-op (summer)	0
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for summer term, we expect that students will work a minimum of 10 weeks and work a minimum of 35 hours per week. CO OP (Summer).
		3
CSCI-261	Analysis of Algorithms
This course provides an introduction to the design and analysis of algorithms. It covers a variety of classical algorithms and data structures and their complexity and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-264	Honors Analysis of Algorithms
This course provides a challenging introduction to the design and analysis of algorithms with an emphasis on problem solving and algorithmic research. It covers a variety of classical algorithms and data structures and their complexity, as well as deeper coverage of more advanced material; for example, linear programming, approximation algorithms, and randomized algorithms. The course will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall).
		3
CSCI-262	Introduction to Computer Science Theory
This course provides an introduction to the theory of computation, including formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-263	Honors Introduction to Computer Science Theory
This course provides a challenging introduction to the theory of computation with an emphasis on problem solving. Topics include formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall).
MATH-241	Linear Algebra (General Education)	3
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring).
MATH-251	Probability and Statistics I (General Education)	3
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).
SWEN-261	Introduction to Software Engineering	3
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring).
	General Education – Natural Science Inquiry Perspective‡	4
	General Education – Scientific Principles Perspective‡	3
	General Education – Elective‡	4
	General Education – Elective	3
Third Year
CSCI-250	Concepts of Computer Systems	3
An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. Topics include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required. (Prerequisites: (CSCI-243 or 4003-334) and (MATH-190 or MATH-200 or 1016-366) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-320	Principles of Data Management	3
This course provides a broad introduction to the principles and practice of modern data management, with an emphasis on the relational database model. Topics in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students will also learn approaches to building relational database application programs. Additional topics include object-oriented and object-relational databases; semi-structured databases (such as XML); and information retrieval. A database project is required. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-331	Introduction to Artificial Intelligence	3
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-251 or STAT-205) or equivalent courses. Students cannot take and receive credit for this course if they have taken CSCI-630.) Lecture 3 (Fall, Spring, Summer).
CSCI-499	Computer Science Undergraduate Co-op (spring) </t

d> 0

Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).

General Education – Science Elective‡

General Education – Immersion 1 (WI)

3 Fourth Year CSCI-251

Concepts of Parallel and Distributed Systems

This course is an introduction to the organization and programming of systems comprising multiple computers. Topics include the organization of multi-core computers, parallel computer clusters, computing grids, client-server systems, and peer-to-peer systems; computer networks and network protocols; network security; multi-threaded programming; and network programming. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-262 or equivalent courses.) Lecture 3 (Fall, Spring).

CSCI-344

Programming Language Concepts

This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-250 or IGME-309 or 4003-334 or 4010-361 or 4080-487) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).

CSCI-471

Professional Communications (WI-PR)

This course focuses on developing and improving verbal and written communication skills specific to the discipline of computer science. Topics include the different forms of writing in computer science (books, theses, journal articles, technical reports, manuscripts, etc.), writing styles of computer scientists, document readability and usability, documents for career readiness, effective presentations, teamwork and peer review, research methods, experimentation, documenting mathematics and algorithms, proper formatting of graphs, figures, and tables, and ethical, social, and professional issues facing Computer Scientists. This course is approved as Writing Intensive. (This class is restricted to students with at least 4th year standing COMPSCI-BS or COMPSCI-2M) Lecture 3 (Fall, Spring, Summer).

CSCI-472

Historical and Current Perspectives in Computer Science

Students who have a background in Computer Science theories, algorithms, and data structures will be provided a look at the history of Computer Science from science and ethical perspectives. Topics include an early history of Computer Science, a study of the people who shaped Computer Science, and a discussion of major milestones in Computer Science. Additionally, students will study ethical issues in Computer Science and how past issues affect modern designs and decision making as well as the ethical decisions that need to be made by computer scientists. Students will be required to work in teams on several assignments. Papers, presentations, and oral presentations are required. Note: With department permission, this course may be used as an alternative to CSCI-471 towards the Computer Science BS degree. (Prerequisites: This class is restricted to students with at least 4th year standing.) Lecture 3 (Fa/sp/su).

Open Electives

CS Electives§

General Education – Science Elective‡

General Education – Immersion 2

3 Fifth Year CSCI-499

Computer Science Undergraduate Co-op (fall)

CS Elective§

General Education – Immersion 3

General Education – Elective

Open Electives

6 Sixth Year CSCI-610

Fundamentals of Computer Graphics

Foundations of Computer Graphics is a study of the hardware and software principles of interactive raster graphics. Topics include an introduction to the basic concepts, 2-D and 3-D modeling and transformations, viewing transformations, projections, rendering techniques, graphical software packages and graphics systems. The course will focus on rasterization techniques and emphasize the hardware rasterization pipeline including the use of hardware shaders. Students will use a standard computer graphics API to reinforce concepts and study fundamental computer graphics algorithms. Programming projects and a survey of the current graphics literature will be required. Note: students who complete CSCI-510 may not take CSCI-610 for credit. (Prerequisite: (CSCI-603 or CSCI-605 with a grade of B or better) or (CSCI-243 or SWEN-262). May not take and receive credit for CSCI-610 and CSCI-510. If earned credit for/or currently enrolled in CSCI-510 you will not be permitted to enroll in CSCI-610.) Lecture 3 (Fall, Spring).

CSCI-631

Foundations of Computer Vision

An introduction to the underlying concepts of computer vision and image understanding. The course will consider fundamental topics, including image formation, edge detection, texture analysis, color, segmentation, shape analysis, detection of objects in images and high level image representation. Depending on the interest of the class, more advanced topics will be covered, such as image database retrieval or robotic vision. Programming assignments are an integral part of the course. Note: students who complete CSCI-431 may not take CSCI-631 for credit. (Prerequisites:(CSCI-603 and CSCI-605 and CSCI-661 with grades of B or better) or ((CSCI-243 or SWEN-262) and (CSCI-262 or CSCI-263)) or equiv courses. If earned credit for/or currently enrolled in CSCI-431 you will not be permitted to enroll in CSCI-631.Prerequisites:(CSCI-603 and CSCI-605 and CSCI-661 with grades of B or better) or ((CSCI-243 or SWEN-262) and (CSCI-262 or CSCI-263)) or equiv courses. If earned credit for/or currently enrolled in CSCI-431 you will not be permitted to enroll in CSCI-631.) Lecture 3 (Fall, Spring).

CSCI-664

Computational Complexity

This course provides an introduction to computational complexity theory. It covers the P=NP problem, time and space complexity, randomization, approximability, and relativization. (Prerequisites: (CSCI-661 or CSCI-660 or CSCI-262 or CSCI-263) and (CSCI-665 or CSCI-261 or CSCI-264) or equivalent courses.) Lecture 3 (Spring).

CSCI-799

Computer Science Graduate Independent Study

Students work with a supervising faculty member on topics of mutual interest. A student works with a potential faculty sponsor to draft a proposal that describes what a student plans to do, what deliverables are expected, how the student's work will be evaluated, and how much credit will be assigned for successful completion of the work. The faculty sponsor proposes the grade, but before the grade is officially recorded, the student must submit a final report that summarizes what was actually accomplished. (Enrollment in this course requires permission from the department offering the course.) Ind Study (Fall, Spring, Summer).

CSCI-790

Computer Science MS Thesis

Thesis capstone of the master's degree program. Student must submit an acceptable thesis proposal in order to enroll. It is expected that the work would lead to a paper of the caliber of those generally acceptable to a national conference. (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer).

Total Semester Credit Hours

147††

Please see General Education Curriculum (GE) for more information.

(WI) Refers to a writing intensive course within the major.

Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.

‡ Students must complete one of the following lab science sequences: (a) University Physics I, II (PHYS-211, 212); (b) General & Analytical Chemistry I, II and Labs (CHMG-141, 142, 145, 146); or (c) General Biology I, II, and Labs (BIOL-101, 102, 103, 104). Students are open to choose from approved science electives that either extend or complement their lab science selection.

§ Two computer science elective courses must come from the same CS cluster.

** Students who complete the MS Project take one more graduate elective than those who complete the MS Thesis.

†† The BS degree requires 126 semester hours; the MS degree requires 30 semester hours; students use 9 semester hours of computer science graduate electives toward both degrees.

Computer Science, BS degree/Cybersecurity, MS degree, typical course sequence

Course		Sem. Cr. Hrs.
First Year
CSCI-141	Computer Science I (General Education)	4
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring).
CSCI-142	Computer Science II (General Education)	4
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).
MATH-181	Calculus I (General Education – Mathematical Perspective A)	4
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer).
MATH-182	Calculus II (General Education – Mathematical Perspective B)	4
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer).
MATH-190	Discrete Mathematics for Computing (General Education)	3
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring).
YOPS-10	RIT 365: RIT Connections	0
RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring).
	General Education – Ethical Perspective	3
	General Education – Artistic Perspective	3
	General Education – Global Perspective	3
	General Education – Social Perspective	3
	General Education – First Year Writing (WI)	3
Second Year
CSCI-099	Undergraduate Cooperative Education Seminar	0
This seminar helps students prepare for Computer Science co-operative education employment (“co-op”) by developing job search strategies and materials, and reviewing relevant policies. Students are introduced to RIT’s Office of Career Services and Cooperative Education, and learn about professional and ethical responsibilities for their co-op and subsequent professional experiences. Completion of this seminar and the related assignments are required before a CS student can be registered for co-op. (Prerequisites: This class is restricted to COMPSCI-BS or COMPEX-UND Major students with at least 2nd year standing.) Lecture 1 (Fall, Spring).
CSCI-243	The Mechanics of Programming	3
Students will be introduced to the details of program structure and the mechanics of execution as well as supportive operating system features. Security and performance issues in program design will be discussed. The program translation process will be examined. Programming assignments will be required. (Prerequisite: C- or better in CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lecture 3 (Fall, Spring, Summer).
CSCI-488	Computer Science Undergraduate Co-op (summer)	0
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for summer term, we expect that students will work a minimum of 10 weeks and work a minimum of 35 hours per week. CO OP (Summer).
		3
CSCI-261	Analysis of Algorithms
This course provides an introduction to the design and analysis of algorithms. It covers a variety of classical algorithms and data structures and their complexity and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-264	Honors Analysis of Algorithms
This course provides a challenging introduction to the design and analysis of algorithms with an emphasis on problem solving and algorithmic research. It covers a variety of classical algorithms and data structures and their complexity, as well as deeper coverage of more advanced material; for example, linear programming, approximation algorithms, and randomized algorithms. The course will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall).
		3
CSCI-262	Introduction to Computer Science Theory
This course provides an introduction to the theory of computation, including formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-263	Honors Introduction to Computer Science Theory
This course provides a challenging introduction to the theory of computation with an emphasis on problem solving. Topics include formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall).
MATH-241	Linear Algebra (General Education)	3
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring).
MATH-251	Probability and Statistics I (General Education)	3
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).
SWEN-261	Introduction to Software Engineering	3
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring).
	General Education – Natural Science Inquiry Perspective‡	4
	General Education- Scientific Principles Perspective‡	3
	General Education – Elective: Lab Science II‡	4
	General Education – Elective	3
Third Year
CSCI-250	Concepts of Computer Systems	3
An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. Topics include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required. (Prerequisites: (CSCI-243 or 4003-334) and (MATH-190 or MATH-200 or 1016-366) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-320	Principles of Data Management	3
This course provides a broad introduction to the principles and practice of modern data management, with an emphasis on the relational database model. Topics in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students will also learn approaches to building relational database application programs. Additional topics include object-oriented and object-relational databases; semi-structured databases (such as XML); and information retrieval. A database project is required. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-331	Introduction to Artificial Intelligence	3
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-251 or STAT-205) or equivalent courses. Students cannot take and receive credit for this course if they have taken CSCI-630.) Lecture 3 (Fall, Spring, Summer).
CSCI-499	Computer Science Undergraduate Co-op (spring)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	General Education – Science Elective	3
	General Education – Immersion 1 (WI)	3
Fourth Year
CSCI-251	Concepts of Parallel and Distributed Systems	3
This course is an introduction to the organization and programming of systems comprising multiple computers. Topics include the organization of multi-core computers, parallel computer clusters, computing grids, client-server systems, and peer-to-peer systems; computer networks and network protocols; network security; multi-threaded programming; and network programming. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-262 or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-344	Programming Language Concepts	3
This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-250 or IGME-309 or 4003-334 or 4010-361 or 4080-487) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
		3
CSCI-471	Professional Communications (WI-PR)
This course focuses on developing and improving verbal and written communication skills specific to the discipline of computer science. Topics include the different forms of writing in computer science (books, theses, journal articles, technical reports, manuscripts, etc.), writing styles of computer scientists, document readability and usability, documents for career readiness, effective presentations, teamwork and peer review, research methods, experimentation, documenting mathematics and algorithms, proper formatting of graphs, figures, and tables, and ethical, social, and professional issues facing Computer Scientists. This course is approved as Writing Intensive. (This class is restricted to students with at least 4th year standing COMPSCI-BS or COMPSCI-2M) Lecture 3 (Fall, Spring, Summer).
CSCI-472	Historical and Current Perspectives in Computer Science
Students who have a background in Computer Science theories, algorithms, and data structures will be provided a look at the history of Computer Science from science and ethical perspectives. Topics include an early history of Computer Science, a study of the people who shaped Computer Science, and a discussion of major milestones in Computer Science. Additionally, students will study ethical issues in Computer Science and how past issues affect modern designs and decision making as well as the ethical decisions that need to be made by computer scientists. Students will be required to work in teams on several assignments. Papers, presentations, and oral presentations are required. Note: With department permission, this course may be used as an alternative to CSCI-471 towards the Computer Science BS degree. (Prerequisites: This class is restricted to students with at least 4th year standing.) Lecture 3 (Fa/sp/su).
	Open Electives	6
	CS Electives	9
	General Education – Science Elective‡	3
	General Education – Immersion 2	3
Fifth Year
CSCI-499	Computer Science Undergraduate Co-op (fall)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	CS Elective	3
	General Education – Immersion 3	3
	General Education – Elective	3
	Open Electives/ CSEC Graduate Elective	6
Sixth Year
CSEC-604	Cryptography and Authentication	3
In this course, students will gain in depth knowledge of cryptography and authentication. Students will explore various cryptographic algorithms and authentication protocols, focusing on their design and implementation. Students will also work on a research or implementation project, based on cryptographic algorithms and/or authentication protocols. The applications of cryptography and authentication in the areas of computer networks and systems will also be investigated. This course requires prior knowledge in Discrete Mathematics. (Prerequisites: (MATH-190 and BS/MS students in Computing Security) or students matriculated in the COMPSEC-MS program.) Lecture 3 (Fall).
CSEC-742	Computer System Security	3
The importance of effective security policies and procedures coupled with experience and practice is emphasized and reinforced through research and practical assignments. Organization and management of security discipline and response to threats is studied. Case studies of effective and failed security planning and implementation will be examined and analyzed. The issues influencing proper and appropriate planning for security and response to attacks will be studied. To be successful in this course students should be knowledgeable in networking, systems, and security technologies. (Prerequisites: CSEC-600 or equivalent course. This course is restricted to BS/MS students in Computing Security and students in the COMPSEC-MS program.) Lab 2 (Fall).
CSEC-790	MS Thesis	6
This course is one of the capstone options in the MS in Computing Security program. It offers students the opportunity to investigate a selected topic and make an original contribution which extends knowledge within the computing security domain. Students must submit an acceptable proposal to a thesis committee (chair, reader, and observer) before they may be registered by the department for the MS Thesis. Students must defend their work in an open thesis defense and complete a written report of their work before a pass/fail grade is awarded. As part of their original work, students are expected to write and submit an article for publication in a peer reviewed journal or conference. (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer).
	Computing Security Graduate Elective	3
	CSEC Research Electives	6
Total Semester Credit Hours		147

Please see General Education Curriculum (GE) for more information.

(WI) Refers to a writing intensive course within the major.

Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.

‡ Students satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.

Computer Science, BS degree/Software Engineering, MS degree, typical course sequence

Course		Sem. Cr. Hrs.
First Year
CSCI-141	Computer Science I	4
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring).
CSCI-142	Computer Science II	4
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).
MATH-181	Project-Based Calculus I (General Education – Mathematical Perspective A)	4
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer).
MATH-182	Project-Based Calculus II (General Education – Mathematical Perspective B)	4
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer).
MATH-190	Discrete Mathematics for Computing (General Education – Elective)	3
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring).
YOPS-10	RIT 365: RIT Connections	0
RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring).
	General Education – First Year Writing (WI)	3
	General Education – Ethical Perspective	3
	General Education – Artistic Perspective	3
	General Education – Global Perspective	3
	General Education – Social Perspective	3
Second Year
CSCI-099	Undergraduate Co-operative Education Seminar	0
This seminar helps students prepare for Computer Science co-operative education employment (“co-op”) by developing job search strategies and materials, and reviewing relevant policies. Students are introduced to RIT’s Office of Career Services and Cooperative Education, and learn about professional and ethical responsibilities for their co-op and subsequent professional experiences. Completion of this seminar and the related assignments are required before a CS student can be registered for co-op. (Prerequisites: This class is restricted to COMPSCI-BS or COMPEX-UND Major students with at least 2nd year standing.) Lecture 1 (Fall, Spring).
CSCI-243	The Mechanics of Programming	3
Students will be introduced to the details of program structure and the mechanics of execution as well as supportive operating system features. Security and performance issues in program design will be discussed. The program translation process will be examined. Programming assignments will be required. (Prerequisite: C- or better in CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lecture 3 (Fall, Spring, Summer).
CSCI-488	CS Undergraduate Summer Co-op (summer)	0
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for summer term, we expect that students will work a minimum of 10 weeks and work a minimum of 35 hours per week. CO OP (Summer).
		3
CSCI-262	Introduction to Computer Science Theory
This course provides an introduction to the theory of computation, including formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-263	Honors Introduction to Computer Science Theory
This course provides a challenging introduction to the theory of computation with an emphasis on problem solving. Topics include formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall).
MATH-241	Linear Algebra (General Education – Elective)	3
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring).
MATH-251	Probability and Statistics I (General Education – Elective)	3
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).
		3
CSCI-261	Analysis of Algorithms
This course provides an introduction to the design and analysis of algorithms. It covers a variety of classical algorithms and data structures and their complexity and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-264	Honors Analysis of Algorithms
This course provides a challenging introduction to the design and analysis of algorithms with an emphasis on problem solving and algorithmic research. It covers a variety of classical algorithms and data structures and their complexity, as well as deeper coverage of more advanced material; for example, linear programming, approximation algorithms, and randomized algorithms. The course will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall).
SWEN-261	Introduction to Software Engineering	3
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring).
	General Education – Elective: Lab Science II†	4
	General Education – Elective	3
	General Education – Natural Science Perspective: Lab Science I‡	4
	General Education – Scientific Principles Perspective†	3
Third Year
CSCI-250	Concepts of Computer Systems	3
An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. Topics include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required. (Prerequisites: (CSCI-243 or 4003-334) and (MATH-190 or MATH-200 or 1016-366) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-320	Principles of Data Management	3
This course provides a broad introduction to the principles and practice of modern data management, with an emphasis on the relational database model. Topics in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students will also learn approaches to building relational database application programs. Additional topics include object-oriented and object-relational databases; semi-structured databases (such as XML); and information retrieval. A database project is required. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-331	Introduction to Artificial Intelligence	3
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-251 or STAT-205) or equivalent courses. Students cannot take and receive credit for this course if they have taken CSCI-630.) Lecture 3 (Fall, Spring, Summer).
CSCI-499	Computer Science Undergraduate Co-op (spring)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	General Education – Science Elective‡	3
	General Education – Immersion 1 (WI)	3
Fourth Year
CSCI-251	Concepts of Parallel and Distributed Systems	3
This course is an introduction to the organization and programming of systems comprising multiple computers. Topics include the organization of multi-core computers, parallel computer clusters, computing grids, client-server systems, and peer-to-peer systems; computer networks and network protocols; network security; multi-threaded programming; and network programming. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-262 or equivalent courses.) Lecture 3 (Fall, Spring).
CSCI-344	Programming Language Concepts	3
This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-250 or IGME-309 or 4003-334 or 4010-361 or 4080-487) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).
CSCI-471	Professional Communications (WI-PR)	3
This course focuses on developing and improving verbal and written communication skills specific to the discipline of computer science. Topics include the different forms of writing in computer science (books, theses, journal articles, technical reports, manuscripts, etc.), writing styles of computer scientists, document readability and usability, documents for career readiness, effective presentations, teamwork and peer review, research methods, experimentation, documenting mathematics and algorithms, proper formatting of graphs, figures, and tables, and ethical, social, and professional issues facing Computer Scientists. This course is approved as Writing Intensive. (This class is restricted to students with at least 4th year standing COMPSCI-BS or COMPSCI-2M) Lecture 3 (Fall, Spring, Summer).
SWEN-732	Collaborative Software Development	3
This course covers processes, tools, and techniques for software development, in general, and collaborative, distributed software development, in particular. Students will learn how to design a process specific to their organization and development project needs. This includes how to select a software development life-cycle model, how to select and sequence the development and management activities of a collaborative, distributed software development team structure and dynamics, and how to define the work products, tools, and methods used to perform those activities. The Software Process Engineering Metamodel (SPEM, an Object Management Group standard) will serve to graphically describe, analyze, discuss, and improve software development processes. Special attention will be given to collaboration needs and approaches for small and large teams that may be globally distributed. (Prerequisites: This course is restricted to students with graduate standing in Software Engineering program or GCCIS graduate programs who have completed SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Fall).
SWEN-746	Model-Driven Development	3
Software models help the software engineer to understand, specify, and analyze software requirements, designs, and implementations (code components, databases, support files, etc.). Model-driven development is a software engineering practice that uses tool-enabled transformation of requirements models to design models and then to code and associated implementation artifacts. Students will use the Unified Modeling Language (UML) and other modeling techniques to capture software requirements, designs, and implementations. Students will also use formal modeling methods to semi-automatically transform among the various models and to study the quality attributes of the modeled software, such as performance, reliability, security, and other qualities. (Co-requisites: SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Fall).
	General Education – Immersion 2	3
	Computer Science Electives	9
	General Education – Science Elective‡	3
Fifth Year
CSCI-499	Computer Science Undergraduate Co-op (fall)	0
Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).
	Computer Science Elective	3
	General Education – Immersion 3	3
	General Education – Elective	3
	Open Electives	6
Sixth Year
SWEN-640	Research Methods	3
Overview of the academic research methodologies used in graduate level work. Topics include: Writing style, Audience analysis, Research Planning, Experiment design and result analysis, Document structure, Research validation, and the process for submission and review to conferences and journals. In this course the student will identify and develop a detailed thesis or capstone proposal that may be continued in a subsequent course. An in-depth study of a software engineering topic will be research focused. The student selects a research problem, conducts background research, and selects appropriate technology and methodologies needed to fully conduct the project. The topic is selected by the student and is in agreement with the student’s advisor and committee. The proposal is presented in a scholarly format for approval by the advisor and committee. (Graduate Computing and Information Sciences) Lecture 3 (Spring).
SWEN-755	Software Architecture	3
A system’s software architecture is the first technical artifact that illustrates a proposed solution to a stated problem. For all but the simplest system, the achievement of qualities such as flexibility, modifiability, security, and reliability is critically dependent on the components and interactions defined by the architecture. The course focuses on the definition of architectural structures, the analysis of architectures in terms of trade-offs among conflicting constraints, the documentation of architecture for use over a product’s life cycle, and the role of architecture during coding activities. (Prerequisites: SWEN-601 and SWEN-610 and SWEN-746 or equivalent courses.) Lecture 3 (Fall).
SWEN-777	Software Quality Assurance	3
This course explores the concepts of process and product quality assurance and introduces approaches and support tools used to extract the information needed to assess and evaluate the quality of existing software systems. Major maintenance activities are detailed including unit and regression testing, test case generation, software refactoring, API migrations, bug localization and triage, and predicting technical debt. Students will participate in an active learning approach by exercising and practicing code reviews, software testing tools, and quality frameworks. (Prerequisites: SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Spring).
SWEN-799	Independent Study	3
This course provides the graduate student an opportunity to explore an aspect of software engineering in depth, under the direction of an adviser. The student selects a topic, conducts background research, develops the system, analyses results, and disseminates the project work. The report explains the topic/problem, the student's approach and the results. (Completion of 9 semester hours is needed for enrollment) (Enrollment in this course requires permission from the department offering the course.) Ind Study (Fall, Spring, Summer).
	Graduate Elective	3
Seventh Year
SWEN-790	Thesis	6
This course provides the student with an opportunity to execute a thesis project, analyze and document the project in thesis document form. An in-depth study of a software engineering topic will be research focused, having built upon the thesis proposal developed prior to this course. The student is advised by their primary faculty adviser and committee. The thesis and thesis defense is presented for approval by the thesis adviser and committee. (Enrollment requires completion of all core courses and permission from the department offering the course.) Thesis 6 (Fall, Spring, Summer).
	Graduate Elective	3
Total Semester Credit Hours		150

Please see General Education Curriculum (GE) for more information.

(WI) Refers to a writing intensive course within the major.

Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.

† Students must complete one of the following lab science sequences: University Physics I (PHYS-211) and University Physics II (PHYS-212); General & Analytical Chemistry I (CHMG-141), General & Analytical Chemistry I Lab (CHMG-145), General & Analytical Chemistry II (CHMG-142), and General & Analytical Chemistry II Lab (CHMG-146); or General Biology I (BIOL-101), General Biology I Lab (BIOL-103), General Biology II (BIOL-102), and General Biology II Lab (BIOL-104).

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Program Overview

Computer Science Bachelor of Science Degree

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Computer Science, BS/MS degree, typical course sequence

Computer Science, BS degree/Cybersecurity, MS degree, typical course sequence

Computer Science, BS degree/Software Engineering, MS degree, typical course sequence

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RIT’s Computer Science Degree

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Salary and Career Information for Computer Science BS

Cooperative Education

Rochester Institute of Technology (Dubai)

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Computer Science, BS degree, typical course sequence

Combined Accelerated Bachelor's/Master's Degrees

Computer Science, BS/MS degree, typical course sequence

Computer Science, BS degree/Cybersecurity, MS degree, typical course sequence

Computer Science, BS degree/Software Engineering, MS degree, typical course sequence