MS Degree Requirements

The MS degree will be 30 credit hours at the graduate level. Students must take 6 required courses and remaining 4 courses from the electives list to get to the program total of 10 classes. No thesis is required, but the independent study course will provide an independent learning experience.

Required:

1. CAP 5415 – Computer Vision (Offered in Fall)
2. CAP 5610 – Machine Learning (offered in Fall and Spring)
3. CAP 6411 – Computer Vision Systems (Offered in Fall)
4. CAP 6412 – Advanced Computer Vision (Offered in Spring)
5. CAP 6419 – 3D Computer Vision (Offered in Fall)
6. CAP 6908 – Independent Study (this course must be registered with a Computer Vision faculty either from CRCV or a faculty in a very closely related program)

Electives (Choose any four):

1. CAP 5516 Medical Image Computing (Offered in Spring)
2. STA 6107 Statistical Computing 2
3. CAP 6908 Independent Study TWO (taken in Computer Vision, with someone from CRCV or very closely related)
4. CAP 5115 Virtual Reality Engineering (Offered in Spring)
5. CAP 6671 Intelligent Systems: Robots, Agents, and Humans (Offered in Fall)
6. CAP 6614 Current Topics in Machine Learning (Offered in Fall)
7. CAP 5619 Artificial Intelligence for FinTech
8. CAP 6121 3D User Interfaces for Games and Virtual Reality (Offered in Spring)
9. CAP 6640 Computer Understanding of Natural Language (Offered in Spring)
10. STA 6238 Logistic Regression
11. STA 5703 Data Mining Methodology 1
12. EEL 5820 Image Processing (Offered in Spring)
13. MAP 6197 Mathematical Introduction to Deep Learning
14. One from {COT 5405, CDA 5106, or other CS graduate class}
15. CAP 5636 Advanced Artificial Intelligence (Offered in Fall)
16. EEL 5825 Machine Learning and Pattern Recognition (Offered in Fall)
17. STA 5104 Advanced Computer Processing of Statistical Data
18. STA 6106 Statistical Computing I
19. EEL 5669 Introduction to Robotics and Autonomous Vehicles (Offered in Fall)

Firm RULE: At least half of the 10 program classes must be at 6000-level or higher.