Artificial Intelligence: Computer Engineering, MS
Requirements for Students Matriculating in or before Academic Year 2026-2027. Learn more about Graduate College Academic Regulation 7.0.
Non-Thesis Option
Total Hours: 33
| Code | Title | Hours |
|---|---|---|
| Core Courses | ||
| Select at least 9 hours: | 9 | |
| Artificial Intelligence I | ||
| Machine Learning | ||
| Neural Networks | ||
| Intelligent Systems | ||
| Hours Subtotal | 9 | |
| Required Courses | ||
| ECEN 5513 | Stochastic Systems | 3 |
| ECEN 5743 | Deep Learning | 3 |
| Hours Subtotal | 6 | |
| Elective Courses | ||
| Select at least 18 hours (12 hours must be from Electrical and Computer Engineering): | 18 | |
| Artificial Intelligence I | ||
| Machine Learning | ||
| Artificial Intell II | ||
| Big Data Analytics | ||
| Advanced Mobile Robotics | ||
| Computer Vision | ||
| Engineering Applications of Artificial Intelligence | ||
| Neural Networks | ||
| Intelligent Systems | ||
| Digital Image Processing | ||
| Up to 9 credit hours can be taken as ECEN 5080 from the following topics | ||
Mobile Robotics | ||
Applied Numerical Methods with Python for Engineers | ||
Artificial Intelligence in Engineering | ||
| Hours Subtotal | 18 | |
| Total Hours | 33 | |
Thesis Option
Total Hours: 30
| Code | Title | Hours |
|---|---|---|
| Core Courses | ||
| Select at least 9 hours: | 9 | |
| Artificial Intelligence I | ||
| Machine Learning | ||
| Neural Networks | ||
| Intelligent Systems | ||
| Hours Subtotal | 9 | |
| Required Courses | ||
| ECEN 5513 | Stochastic Systems | 3 |
| ECEN 5743 | Deep Learning | 3 |
| Hours Subtotal | 6 | |
| Elective Courses | ||
| Select at least 9 hours (6 must be from Electrical and Computer Engineering) | 9 | |
| Artificial Intelligence I | ||
| Machine Learning | ||
| Artificial Intell II | ||
| Big Data Analytics | ||
| Advanced Mobile Robotics | ||
| Computer Vision | ||
| Engineering Applications of Artificial Intelligence | ||
| Neural Networks | ||
| Intelligent Systems | ||
| Digital Image Processing | ||
| Up to 6 credit hours can be taken as ECEN 5080 from the following topics | ||
Mobile Robotics | ||
Applied Numerical Methods with Python for Engineers | ||
Artificial Intelligence in Engineering | ||
| Hours Subtotal | 9 | |
| Thesis | ||
| ECEN 5000 | Thesis | 6 |
| Total Hours | 30 | |
Graduate College Master's Program Requirements
Learn more about Graduate College 2026-2027 Master’s Degree Program Requirements. Check the General Graduate College academic regulations for minimal GPA, language proficiency and other general requirements.