MS Computer Science
ACADEMICS
The MS Computer Science (MSCS) curriculum is structured to be completed with a total of 30 credits over 3 semesters (typically).
Program Rules:
- GPA – Students must achieve a cumulative grade point average of at least 3.0 to graduate, and no course grades below C will be allowed to count toward graduation. All grades labeled below as core and elective courses within your specialization must be B or better.
- No graduate credit will be given for CS courses with a number lower than 4140.
- A maximum of 6 hours may be taken at the 4000-level and/or with a subject code other than CS or CSE.
- Pass-Fail and Audit – All courses applied to the M.S. CS degree must be taken for a letter grade.
- The maximum total credit hours of Special Problems (CS or CSE 89xx) that may be applied toward the MS CS degree is 3. These courses must be within the CoC.
- There is no maximum number of Special Topics (CS or CSE 88xx) courses that may be used towards the degree.
- Each student must complete the requirements for one specialization.
Specializations:
Tentatively, students in the GT-Shenzhen MSCS program may choose from four areas of specialization.
- Computational Perception & Robotics
- Computing Systems
- Interactive Intelligence
- Machine Learning
Degree Requirements:
- 30 hours of course work (no M.S. project or thesis hours)
- Total course credit hours required: 30
- Minimum CS/CSE course credit hours: 24
- Minimum CS/CSE course credit hours at the graduate (6000-8000) level: 24
- Minimum total credit hours at the 6000-8000 level: 24
Listed below are courses for each specialization. Keep in mind that these are subject to change.
Computational Perception and Robotics (15 Hours)
|
Courses |
Selection |
|
CS 6515- Introduction to Graduate Algorithms |
Choose 1 |
|
CS 6601- Artificial Intelligence CS 7641- Machine Learning |
Choose 1 |
|
Perception CS 6475- Computational Photography CS 6476- Computer Vision CS 7639- Cyber Physical Design and Analysis Robotics CS 7638- Artificial Intelligence Techniques for Robotics CS 7648- Interactive Robot Learning |
Choose 3 |
Computing Systems (18 Hours)
|
Courses |
Selection |
|
CS 6515- Introduction to Graduate Algorithms |
Choose 1 |
|
CS 6210- Advanced Operating Systems CS 6250- Computer Networks CS 6290- High-Performance Computer Architecture CS 6300- Software Development Process CS 6400- Database Systems Concepts and Design |
Choose 2 |
|
CS 6035- Introduction to Information Security CS 6200- Graduate Introduction to Operating Systems CS 6262- Network Security CS 6263- Intro to Cyber Physical Systems Security CS 6291- Embedded Software Optimizations CS 6310- Software Architecture and Design CS 6340- Software Analysis and Testing CS 6675- Advanced Internet Computing Systems and Applications |
Choose 3 |
Interactive Intelligence (15 Hours)
|
Courses |
Selection |
|
CS 6300- Software Development Process CS 6515- Introduction to Graduate Algorithms |
Choose 1 |
|
CS 6601- Artificial Intelligence CS 7637- Knowledge-Based AI CS 7641- Machine Learning |
Choose 2 |
|
CS 6440- Introduction to Health Informatics CS 6460- Educational Technology: Conceptual Foundations CS 6750- Human-Computer Interaction |
Choose 2 |
Machine Learning (15 Hours)
|
Courses |
Selection |
|
CS 6515- Introduction to Graduate Algorithms |
Choose 1 |
|
CS 7641- Machine Learning |
Choose 1 |
|
CS 6476- Computer Vision CS 7643- Deep Learning CS 7646- Machine Learning for Trading CSE 6242- Data and Visual Analytics CSE 6250- Big Data for Health ISYE 6420- Bayesian Methods |
Choose 3 |