Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
4 years
Details
Program Details
Degree
Bachelors
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
About Program

Program Overview


Department of Informatics

The Department of Informatics offers a comprehensive program in Enterprise AI Curriculum, designed to provide students with a solid foundation in data science, artificial intelligence, and information systems.


Program Structure

The program is structured into four years, with each year divided into two semesters. The curriculum includes a mix of core courses, electives, and general education requirements.


First Year

  • 1st Semester:
    • FYS SEM: First-Year Student Seminar (0 credits)
    • DS 100: Basic Foundations of Data Science (3 credits)
    • ENGL 101: English Composition: Introduction to Academic Writing (3 credits)
    • IS 117: Introduction to Website Development (3 credits)
    • MATH 138: General Calculus I (3 credits)
    • Science Literacy GER: Science Literacy GER (3 credits)
    • Term Credits: 15
  • 2nd Semester:
    • ENGL 102: English Composition: Introduction to Writing for Research (3 credits)
    • DS 110: Basic Foundations of Artificial Intelligence (3 credits)
    • IS 265: Introduction to Information Systems (3 credits)
    • Science Literacy with Lab GER: Science Literacy with Lab GER (4 credits)
    • MATH 105: Elementary Probability and Statistics (3 credits)
    • Term Credits: 16

Second Year

  • 1st Semester:
    • General Elective 1 (3 credits)
    • IS 218: Building Web Applications (3 credits)
    • MGMT 216: Business Data Analytics (3 credits)
    • IS 350: Computers, Society and Ethics (3 credits)
    • IS 247: Designing the User Experience (3 credits)
    • Term Credits: 15
  • 2nd Semester:
    • YWCC 207: Computing & Effective Com (1 credit)
    • History and Humanities GER 200 level (3 credits)
    • General Elective 2 (3 credits)
    • CS 118: Introduction to Computer Science II in Python (3 credits)
    • IS 331: Database Design Management and Applications (3 credits)
    • IS 390: Requirements Analysis and Systems Design (3 credits)
    • Term Credits: 16

Third Year

  • 1st Semester:
    • COM 312 or COM 313: Effective Communication or Writing in the Workplace (3 credits)
    • History and Humanities GER 300+ level (3 credits)
    • IS 392: AI-Driven Text Analytics (3 credits)
    • IS 465: Data Analytics for Business Information Systems (3 credits)
    • IS 375: Discovering User Needs for UX (3 credits)
    • Term Credits: 15
  • 2nd Semester:
    • YWCC 307: Professional Dev in Computing (1 credit)
    • General Elective 3 (3 credits)
    • IS 480: Data-Centric AI (3 credits)
    • General Elective 4 (3 credits)
    • IS 448: Usability & Measuring UX (3 credits)
    • IS 455: IS Mgmt & Business Processes (3 credits)
    • Term Credits: 16

Fourth Year

  • 1st Semester:
    • General Elective 5 (3 credits)
    • IE 492 or ENTR 210: Engineering Management or Introduction to Entrepreneurship (3 credits)
    • IT 310: E-Commerce Technology (3 credits)
    • MGMT 480: Managing Technology and Innovation (3 credits)
    • Humanities and Social Science Senior Seminar GER (3 credits)
    • Term Credits: 15
  • 2nd Semester:
    • General Elective 6 (3 credits)
    • General Elective 7 (3 credits)
    • IS 491 or IT 491: Senior Project - IS or IT Capstone Project (3 credits)
    • IS 425: Enterprise AI Applications & Infrastructure (3 credits)
    • Term Credits: 12

Total Credits

  • Total Credits: 120

Recommendations

  • It is highly recommended to take MATH 333 Probability and Statistics instead of MATH 105 Elementary Probability and Statistics, especially for students contemplating advanced or graduate work in computing.
  • Students are encouraged to take one or more advanced statistics courses as free electives, such as MATH 341 Statistical Methods II or MATH 344 Regression Analysis, both of which require MATH 333 Probability and Statistics as a prerequisite.

Independent Study and Undergraduate Thesis Option

  • Students are encouraged to consider an independent study (IS 488) as part of their electives as juniors and seniors.
  • They can then continue with an Undergraduate Thesis (IS 489), which optionally can substitute for IS 491 or IT 491.
  • The thesis option is explained further on the Informatics Department website.
  • Students should consult their advisor as early in their studies as possible to plan appropriately for all of these opportunities.

Alternative Courses

  • Students can take MATH 111 (Calculus I) instead of MATH 138 (General Calculus I).
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