Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________	Catalog: 2026-2027 Rowan University Academic Catalog Program: Master of Science in Computer Science Minimum Credits Required:__________________
Master of Science in Computer Science The Master of Science in Computer Science will provide individuals with the opportunity to acquire an excellent graduate level education in Computer Science that prepares them to work in a variety of computer related fields, including education, industry, research, business, and government. The M.S. in Computer Science is designed for individuals with a B.S. in Computer Science who are looking to expand their knowledge and opportunities. Students with a bachelor’s degree in another discipline may also apply for the M.S. in Computer Science after meeting certain eligibility criteria. This degree can be completed as a full-time or part-time student. Most classes are offered in the evening to enable students to complete their degree while working. Rowan University undergraduates majoring in the Bachelor of Science in Computer Science program may apply to the Accelerated Dual Degree (ADD) program which allows them to earn both the Bachelor of Science and Master of Science degrees in five years instead of six. The M.S. in Computer Science is a 31 credit-hour program with an optional thesis track. Ten distinct courses must be taken to fulfill the Master’s Degree. Any course taken that belongs in multiple categories cannot double count. Up to two courses may be taken from other, appropriate graduate programs subject to advisor approval, provided all requirements for this M.S. degree are fulfilled. Tracks The program includes two tracks - a thesis track and a non-thesis track. Non-Thesis Track: Students choosing the non-thesis track take 31 credits of traditional (non-thesis) courses. Thesis Track: Students choosing the thesis track will also take 31 credits, but they will substitute between 6 to 9 credits of thesis courses for traditional (non-thesis) courses.
Required Courses: 3 s.h.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 00500 - Computer Science Graduate Seminar	Credits: 0
CS 07540 - Advanced Design and Analysis of Algorithms	Credits: 3
Core Courses: 9 s.h. Students are required to complete at least one course from any three Common Core areas listed below.
Algorithms & Theory
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 07510 - Mathematical Foundations of Computer Science	Credits: 3
CS 07556 - Machine Learning I	Credits: 3
CS 07558 - Large Language Models	Credits: 3
CS 07559 - Advanced Models of Deep Learning	Credits: 3
CS 07622 - Advanced Theory of Computing	Credits: 3
CS 07650 - Concepts in Artificial Intelligence	Credits: 3
CS 07652 - Cryptographic Algorithms *	Credits: 3
CS 07656 - Machine Learning II	Credits: 3
Software Design
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 04515 - Embedded Systems Programming	Credits: 3
CS 04524 - Agile Software Engineering	Credits: 3
CS 04563 - Parallel and Concurrent Programming	Credits: 3
CS 04580 - Human Centered Computing	Credits: 3
CS 04623 - Advanced Software Engineering	Credits: 3
CS 04670 - Advanced Object Oriented Design	Credits: 3
Cybersecurity
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 03551 - Advanced Cyber Security: Principles and Applications	Credits: 3
CS 03552 - Digital Forensics	Credits: 3
CS 03570 - Cyber Defense of Operating Systems	Credits: 3
CS 03580 - Cloud Computing and the Internet of Things *	Credits: 3
CS 06689 - Transactional Cyber Systems	Credits: 3
CS 07652 - Cryptographic Algorithms *	Credits: 3
CS 09612 - Network Security *	Credits: 3
Data Management & Analytics
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 02505 - Data Mining I	Credits: 3
CS 02530 - Advanced Database Systems: Theory and Programming	Credits: 3
CS 02605 - Data Mining II	Credits: 3
CS 02620 - Data Warehousing	Credits: 3
CS 02625 - Data Quality and Web/Text Mining	Credits: 3
CS 02630 - Advanced Topics in Database Systems	Credits: 3
DS 02510 - Visual Analytics	Credits: 3
Computer Networks
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 03580 - Cloud Computing and the Internet of Things *	Credits: 3
CS 09510 - Computer Networks	Credits: 3
CS 09605 - Wireless Networks and Systems	Credits: 3
CS 09612 - Network Security *	Credits: 3
CS 09675 - TCP/IP and Internet Protocols and Technologies	Credits: 3
*Please Note: Course may count for one of two core areas, but cannot count for both core areas.
Advanced Electives: 9 s.h. In addition to the 9 s.h. in the Core Courses areas above, students must complete three 600-level courses. These courses can be selected from the Core Courses areas above, or the Non-These Track Electives below.
Thesis Track Courses: 6 - 9 s.h. Thesis Track students may take either six credits of thesis and one additional elective, or they may take nine credits of thesis.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 07530 - Computer Science Thesis I	Credits: 3
CS 07631 - Computer Science Thesis II	Credits: 3
CS 07632 - Computer Science Thesis III (optional)	Credits: 3
Non-Thesis Track Electives: 9 s.h. Non-Thesis Track students must take nine credits of additional electives; they may not take any thesis courses. These additional electives can be chosen from the list below or the Common Core areas above.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 01541 - Bioinformatics - Advanced Computational Aspects	Credits: 3
CS 02570 - Information Visualization	Credits: 3
CS 04548 - Programming Languages: Theory, Implementation and Application	Credits: 3
CS 04564 - Compiler Design Theory	Credits: 3
CS 04565 - Systems Programming	Credits: 3
CS 04590 - Computer Game Design and Development	Credits: 3
CS 04605 - Advanced Web Programming	Credits: 3
CS 06506 - Unix System Interfaces, Tools and API	Credits: 3
CS 06560 - Design and Implementation of Operating Systems	Credits: 3
CS 07565 - Computer Vision	Credits: 3
CS 07645 - Advanced Robotics	Credits: 3
CS 07655 - Natural Language Processing	Credits: 3
CS 07695 - Advanced Topics in Computer Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)	Credits: 1 to 4
CS 08560 - Computer Graphics	Credits: 3
CS 08680 - Computer Animation	Credits: 3
Total Required Credits for the Program: 30 s.h. Foundation Courses Students accepted into the program are expected to be well versed in programming, discrete mathematics, computer organization/architecture, direct interactions with operating systems, data structures, and algorithmic thinking either through undergraduate course work or work experience. At the discretion of the Program Coordinator, students not meeting all of these criteria *may* be accepted into this master’s program but will be required to complete one or two computer science bridge courses before enrolling into other computer science graduate courses. These courses are: CS 01501 - Essentials of Computer Science I* CS 01502 - Essentials of Computer Science II* CS 01501 and CS 01502 will not count toward the 31 graduate credits needed for degree completion. Graduation/Exit, Benchmark, and/or Thesis Requirements* If thesis track is chosen, students must successfully complete and defend Master’s Thesis. Minimum Required Grades and Cumulative GPA The Master of Science in Computer Science is a Category 3 program. For details regarding satisfactory academic progress and graduation requirements, please visit Academic Program Policy Categories Program Coordinator/Advisor Contact Information Shen-Shyang Ho Robinson Hall, Room 328Q 856.256.4805 hos@rowan.edu
Notes:

Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________

Catalog: 2026-2027 Rowan University Academic Catalog Program: Master of Science in Computer Science Minimum Credits Required:__________________

Master of Science in Computer Science

The Master of Science in Computer Science will provide individuals with the opportunity to acquire an excellent graduate level education in Computer Science that prepares them to work in a variety of computer related fields, including education, industry, research, business, and government.

The M.S. in Computer Science is designed for individuals with a B.S. in Computer Science who are looking to expand their knowledge and opportunities. Students with a bachelor’s degree in another discipline may also apply for the M.S. in Computer Science after meeting certain eligibility criteria. This degree can be completed as a full-time or part-time student. Most classes are offered in the evening to enable students to complete their degree while working.

Rowan University undergraduates majoring in the Bachelor of Science in Computer Science program may apply to the Accelerated Dual Degree (ADD) program which allows them to earn both the Bachelor of Science and Master of Science degrees in five years instead of six.

The M.S. in Computer Science is a 31 credit-hour program with an optional thesis track. Ten distinct courses must be taken to fulfill the Master’s Degree. Any course taken that belongs in multiple categories cannot double count. Up to two courses may be taken from other, appropriate graduate programs subject to advisor approval, provided all requirements for this M.S. degree are fulfilled.

Tracks

The program includes two tracks - a thesis track and a non-thesis track.

Non-Thesis Track: Students choosing the non-thesis track take 31 credits of traditional (non-thesis) courses.
Thesis Track: Students choosing the thesis track will also take 31 credits, but they will substitute between 6 to 9 credits of thesis courses for traditional (non-thesis) courses.

Required Courses: 3 s.h.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 00500 - Computer Science Graduate Seminar

Credits: 0

CS 07540 - Advanced Design and Analysis of Algorithms

Credits: 3

Core Courses: 9 s.h.

Students are required to complete at least one course from any three Common Core areas listed below.

Algorithms & Theory

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 07510 - Mathematical Foundations of Computer Science

Credits: 3

CS 07556 - Machine Learning I

Credits: 3

CS 07558 - Large Language Models

Credits: 3

CS 07559 - Advanced Models of Deep Learning

Credits: 3

CS 07622 - Advanced Theory of Computing

Credits: 3

CS 07650 - Concepts in Artificial Intelligence

Credits: 3

CS 07652 - Cryptographic Algorithms *

Credits: 3

CS 07656 - Machine Learning II

Credits: 3

Software Design

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 04515 - Embedded Systems Programming

Credits: 3

CS 04524 - Agile Software Engineering

Credits: 3

CS 04563 - Parallel and Concurrent Programming

Credits: 3

CS 04580 - Human Centered Computing

Credits: 3

CS 04623 - Advanced Software Engineering

Credits: 3

CS 04670 - Advanced Object Oriented Design

Credits: 3

Cybersecurity

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 03551 - Advanced Cyber Security: Principles and Applications

Credits: 3

CS 03552 - Digital Forensics

Credits: 3

CS 03570 - Cyber Defense of Operating Systems

Credits: 3

CS 03580 - Cloud Computing and the Internet of Things *

Credits: 3

CS 06689 - Transactional Cyber Systems

Credits: 3

CS 07652 - Cryptographic Algorithms *

Credits: 3

CS 09612 - Network Security *

Credits: 3

Data Management & Analytics

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 02505 - Data Mining I

Credits: 3

CS 02530 - Advanced Database Systems: Theory and Programming

Credits: 3

CS 02605 - Data Mining II

Credits: 3

CS 02620 - Data Warehousing

Credits: 3

CS 02625 - Data Quality and Web/Text Mining

Credits: 3

CS 02630 - Advanced Topics in Database Systems

Credits: 3

DS 02510 - Visual Analytics

Credits: 3

Computer Networks

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 03580 - Cloud Computing and the Internet of Things *

Credits: 3

CS 09510 - Computer Networks

Credits: 3

CS 09605 - Wireless Networks and Systems

Credits: 3

CS 09612 - Network Security *

Credits: 3

CS 09675 - TCP/IP and Internet Protocols and Technologies

Credits: 3

*Please Note:

Course may count for one of two core areas, but cannot count for both core areas.

Advanced Electives: 9 s.h.

In addition to the 9 s.h. in the Core Courses areas above, students must complete three 600-level courses. These courses can be selected from the Core Courses areas above, or the Non-These Track Electives below.

Thesis Track Courses: 6 - 9 s.h.

Thesis Track students may take either six credits of thesis and one additional elective, or they may take nine credits of thesis.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 07530 - Computer Science Thesis I

Credits: 3

CS 07631 - Computer Science Thesis II

Credits: 3

CS 07632 - Computer Science Thesis III (optional)

Credits: 3

Non-Thesis Track Electives: 9 s.h.

Non-Thesis Track students must take nine credits of additional electives; they may not take any thesis courses. These additional electives can be chosen from the list below or the Common Core areas above.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 01541 - Bioinformatics - Advanced Computational Aspects

Credits: 3

CS 02570 - Information Visualization

Credits: 3

CS 04548 - Programming Languages: Theory, Implementation and Application

Credits: 3

CS 04564 - Compiler Design Theory

Credits: 3

CS 04565 - Systems Programming

Credits: 3

CS 04590 - Computer Game Design and Development

Credits: 3

CS 04605 - Advanced Web Programming

Credits: 3

CS 06506 - Unix System Interfaces, Tools and API

Credits: 3

CS 06560 - Design and Implementation of Operating Systems

Credits: 3

CS 07565 - Computer Vision

Credits: 3

CS 07645 - Advanced Robotics

Credits: 3

CS 07655 - Natural Language Processing

Credits: 3

CS 07695 - Advanced Topics in Computer Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)

Credits: 1 to 4

CS 08560 - Computer Graphics

Credits: 3

CS 08680 - Computer Animation

Credits: 3

Total Required Credits for the Program: 30 s.h.

Foundation Courses

Students accepted into the program are expected to be well versed in programming, discrete mathematics, computer organization/architecture, direct interactions with operating systems, data structures, and algorithmic thinking either through undergraduate course work or work experience. At the discretion of the Program Coordinator, students not meeting all of these criteria may be accepted into this master’s program but will be required to complete one or two computer science bridge courses before enrolling into other computer science graduate courses. These courses are:

CS 01501 - Essentials of Computer Science I*
CS 01502 - Essentials of Computer Science II*

*CS 01501 and CS 01502 will not count toward the 31 graduate credits needed for degree completion.

Graduation/Exit, Benchmark, and/or Thesis Requirements

If thesis track is chosen, students must successfully complete and defend Master’s Thesis.

Minimum Required Grades and Cumulative GPA

The Master of Science in Computer Science is a Category 3 program.

For details regarding satisfactory academic progress and graduation requirements, please visit Academic Program Policy Categories

Program Coordinator/Advisor Contact Information
Shen-Shyang Ho
Robinson Hall, Room 328Q
856.256.4805
hos@rowan.edu

Notes: