Master of Science in Computer - University of N

The Master of Science in Computer Science at UNLV offers various tracks, including Thesis, Project, Integrated BS-MS, and Exam Tracks in Foundations and Theory, Cyber Security, AI and Machine Learning, Software Engineering, Data Science and Big Data, and Database and Information Retrieval. Students can specialize in areas such as algorithm analysis, database systems, computer security, and artificial intelligence. The program provides opportunities for research, original contributions, and hands-on experience in computer laboratories.

Program Outline

Degree Overview:

The Master of Science in Computer Science program at UNLV provides students the opportunity to study different subject areas of computing science, conduct research in specialized areas, and make original contributions to the field.
The graduate programs, leading to MS and PhD degrees, are designed to pursue research at the frontiers of computer science and application areas.
The graduate program is supported by faculty who are actively participating in research and development in specialized areas such as algorithm analysis, database systems, document image processing, scheduling, computational geometry, computer security, parallel programming, programming languages, and multi-media.
Four in-house computer laboratories support teaching and research activities.

Outline:

Thesis Track:

Students complete 24 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 3 credits outside of CS.
Students must complete 12 credits of 700-level CS courses (excluding thesis).
Students must submit a thesis approved by their advisor and thesis committee and pass a final oral examination covering the thesis and relevant course work.

Project Track:

Students complete 27 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 3 credits outside of CS.
Students must complete 15 credits of 700-level CS courses (excluding the project).
Students must complete a computer science project and a report approved by their advisor and their project committee and pass a final oral examination over the project and relevant course work.

Integrated BS-MS Track:

Students complete the following nine credits or other courses approved by the Graduate Coordinator:
CS 656 - Automata and Formal Languages
CS 660 - Compiler Construction
CS 677 - Analysis of Algorithms
Students complete 15-21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 3 credits outside of CS.
Students must complete 12 credits of 700-level CS courses (excluding thesis).
Students must submit a thesis approved by their advisor and thesis committee and pass a final oral examination covering the thesis and relevant course work.
Students may be released from up to 9 credits of classes towards completion of the M.S.

Exam Track - Foundations and Theory:

Students complete a total of 9 credits from the following courses:
CS 656 - Automata and Formal Languages
CS 677 - Analysis of Algorithms
CS 715 - Advanced Analysis of Algorithms
CS 758 - Computational Geometry
CS 789 - Topics in Advanced Computer Science
Students complete 21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 6 credits outside of CS.
Students must complete 18 credits of 700-level CS courses.
Students must choose one of the specialized areas covered by CS 600/700-level courses and approved by the graduate affairs committee.
Students take 3 courses in the chosen specialized area.

Exam Track - Cyber Security:

Students complete a total of 9 credits from the following courses:
CS 643 - Information Assurance
CS 645 - Internet Security
CS 648 - Computer Security
CS 649 - Computer and Network Forensics
CS 665 - Computer Networks I
CS 789 - Topics in Advanced Computer Science
Students complete 21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 6 credits outside of CS.
Students must complete 18 credits of 700-level CS courses.
Students must choose one of the specialized areas covered by CS 600/700-level courses and approved by the graduate affairs committee.
Students take 3 courses in the chosen specialized area.

Exam Track - AI and Machine Learning:

Students complete a total of 9 credits from the following courses:
CS 682 - Artificial Intelligence
CS 781 - Automated Deduction
CS 782 - Expert System Construction
CS 783 - Genetic Algorithms and Neural Networks
CS 789 - Topics in Advanced Computer Science
Students complete 21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 6 credits outside of CS.
Students must complete 18 credits of 700-level CS courses.
Students must choose one of the specialized areas covered by CS 600/700-level courses and approved by the graduate affairs committee.
Students take 3 courses in the chosen specialized area.

Exam Track - Software Engineering:

Students complete a total of 9 credits from the following courses:
CS 620 - Human-Computer Interaction
CS 672 - Software Product Design and Development I
CS 682 - Artificial Intelligence
CS 772 - Empirical Software Engineering
CS 789 - Topics in Advanced Computer Science
Students complete 21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 6 credits outside of CS.
Students must complete 18 credits of 700-level CS courses.
Students must choose one of the specialized areas covered by CS 600/700-level courses and approved by the graduate affairs committee.
Students take 3 courses in the chosen specialized area.

Exam Track - Data Science and Big Data:

Students complete a total of 9 credits from the following courses:
CS 657 - Database Management Systems
CS 658 - Introduction to Data Mining
CS 672 - Software Product Design and Development I
CS 682 - Artificial Intelligence
CS 769 - Advanced Data Base Management
CS 783 - Genetic Algorithms and Neural Networks
Students complete 21 credits of 600- or 700-level Computer Science (CS) courses.
Students may complete up to 6 credits outside of CS.
Students must complete 18 credits of 700-level CS courses.
Students must choose one of the specialized areas covered by CS 600/700-level courses and approved by the graduate affairs committee.
Students take 3 courses in the chosen specialized area.

Exam Track - Database and Information Retrieval:

Students complete a total of 9 credits from the following courses:
CS 657 - Database Management Systems
CS 658 - Introduction to Data Mining
CS 682 - Artificial Intelligence
CS 769 - Advanced Data Base Management

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University of Nevada, Las Vegas

Overview:

University of Nevada, Las Vegas (UNLV) is a public research university located in the heart of Las Vegas, Nevada. It is known for its diverse student body, innovative academic programs, and its unique location in a vibrant and dynamic city.

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Student Life and Campus Experience:

UNLV offers a vibrant and diverse campus experience. Students can expect to find a welcoming community with a strong sense of belonging. The university boasts a wide range of student organizations, clubs, and activities, catering to various interests. UNLV also emphasizes the importance of community engagement and provides opportunities for students to connect with the local community.

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UNLV offers a wide range of academic programs across various disciplines, including:

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UNLV is a relatively young university, established in 1957. It has grown significantly over the years and is now one of the largest universities in Nevada. The university is also home to a number of research centers and institutes, focusing on areas such as healthcare, technology, and sustainability.

Total programs

271

Average ranking globally

#461

Average ranking in the country

#137

Admission Requirements

Entry Requirements:

An application Official transcripts of all college level work with a minimum GPA of 3.00. Two letters of recommendation concerning the student's potential for succeeding in the graduate program. The results of the Graduate Record Examination current to within five years should be sent directly to the department. The preferred minimum score requirement is 297. The GRE requirement is waived for students participating in the Integrated BS-MS subplan. In addition, applicants must have completed courses and their prerequisites equivalent to our undergraduate Programming Languages (CS 326), Operating Systems (CS 370), Discrete Mathematics II (MATH 351), and Statistical Methods I (STAT 411) with an average grade of B or better. The Computer Science Admission Committee may elect to admit an outstanding applicant who has not satisfied all of the background requirements on a conditional basis. The student must complete these requirements before full admission to the program is granted. Students who have not completed all the following courses (or equivalent courses) as part of their bachelor's degree may be required to complete them as a condition of their admission. If taken as part of their master's degree program, these courses may count toward the 30 credits required. CS 656 Automata and Formal Languages CS 677 Analysis of Algorithms

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