Computer Science, M.S.

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Graduate Program Advisor: Johng-Chern Chern, Kapila Rohan Attele

Graduate Faculty: Jan-Jo Chen, Johng-Chern Chern, Moussa Ayyash.

No student admitted to the Master of Computer Science Program is permitted to register in more than 17.64 credit hours of online course work that are applicable to the MS degree in Computer Science.

International students may be subject to more stringent requirements regarding online classes by the USCIS. They need to consult the Graduate Advisor to be incompliance with the current requirements.

General Requirements

Fulfillment of the general requirements for admission to the Graduate School and successful completion of 36 credit hours.
A Bachelor’s degree from an accredited institution is required. However, applicants are expected to, at the minimum, have programming experience that is equivalent to one year of programming in a high-level language, as well as a working knowledge of data structures, principles of programming languages, a low-level language, and calculus. Interested students lacking this background are also encouraged to apply; their study plan will enable them to acquire sufficient background to take graduate level courses.

Specific Requirements

Required Core Courses (9 Credit Hours).

A grade B or better in each course is needed.

CPTR 5600 - Advanced Database Design and Implementation Credit Hours: 3
CPTR 5750 - Advanced TCP/IP Network Architechture Credit Hours: 3
CPTR 5820 - Algorithms and Software Engineering with Web-Based Applications Credit Hours: 3

Required Master’s Project or Thesis (3 or 6 Credit Hours).

A grade B or better in each course is needed.

CPTR 5990 - The Graduate Computer Science Experience Credit Hours: 1 to 3
or
CPTR 5995 - Master’s Thesis Credit Hours: 1 to 6

Required CPTR Elective Courses - 5000-level (15 Hours):

Must be selected with the approval of the graduate advisor.

CPTR 5200 - Algorithm Theory and Analysis Credit Hours: 3
CPTR 5210 - Graph Theory for Data Science Credit Hours: 3
CPTR 5250 - Automata Theory, Languages, and Computation Credit Hours: 3
CPTR 5360 - Machine Learning Implementation Credit Hours: 3
CPTR 5365 - Deep Learning Implementation Credit Hours: 3
CPTR 5400 - Computer System Architechture Credit Hours: 3
CPTR 5520 - Parallel Processing and Applications Credit Hours: 3
CPTR 5550 - Advanced Operating Systems Credit Hours: 3
CPTR 5580 - Concurrent Systems Credit Hours: 3
CPTR 5610 - Database Administration Credit Hours: 3
CPTR 5620 - Business Intelligence and Analytics Credit Hours: 3
CPTR 5660 - Object-Oriented Database Credit Hours: 3
CPTR 5680 - Data Warehousing and Data Mining Credit Hours: 3
CPTR 5665 - Introduction to NoSQL Databases Credit Hours: 3
CPTR 5666 - Big Data Analytics Credit Hours: 3
CPTR 5667 - Advanced Big Data Analytics Credit Hours: 3
CPTR 5670 - Distributed Database Systems Credit Hours: 3
CPTR 5710 - Cloud Computing Architecture Credit Hours: 3
CPTR 5715 - Developing Cloud Based Solutions Credit Hours: 3
CPTR 5730 - Mobile Communication and Security Credit Hours: 3
CPTR 5740 - Internet of Things (IoT) Credit Hours: 3
CPTR 5760 - Advanced Network Security and Privacy Credit Hours: 3
CPTR 5772 - Information Security Technology Credit Hours: 3
CPTR 5770 - Cryptography I Credit Hours: 3
CPTR 5800 - Advanced Software Engineering Credit Hours: 3
CPTR 5510 - Network Operating System Design Credit Hours: 3
CPTR 5810 - Enterprise Architecture Credit Hours: 3
CPTR 5850 - Software Project Management Credit Hours: 3
CPTR 5860 - Software Measurement and Reliability Credit Hours: 3
CPTR 5950 - Graduate Seminar Credit Hours: 3

Completion of the Remaining Courses (6-9 Credit Hours)

From approved 5000-level or approved 4000-level (4000-level passed with a grade B or better in each) courses applicable to the master’s degree:

With the approval of the Graduate Program Advisor, three credit hours at the 5000 level may be taken in fields related to computer science, such as mathematics and computational biology.