Master’s in AI Courses
Master’s in AI courses will address the increasing role of artificial intelligence in nearly all aspects of human life, including health care, medical diagnosis, new drug discovery, business intelligence, data analytics, customer behavior prediction, robotics in manufacturing and human assistance, autonomous vehicles, including drones and self-driving cars, and beyond. The master’s in Artificial Intelligence curriculum requires students to complete a total of 34 credit hours prior to graduation. Students may select one or more areas of specialization, in which case, the student will need to take at least three courses in each area(s) selected.
Robotics and Automation courses
| CPSC 460 |
Introduction to Robotics |
| CPSC 461 |
Advanced Robotics |
| CPEG 585 |
Computer Vision |
| CPEG 588 |
Introduction to Autonomous Vehicles |
Deep Learning and Computer Vision courses
| CPEG 585 |
Computer Vision |
| CPEG 586 |
Deep Learning |
| CPEG 588 |
Autonomous Vehicles |
| CPEG 686 |
Advanced AI and Deep Learning |
Data Sciences and Data Analytics courses
| CPSC 552 |
Data Mining |
| CPSC 651 |
Big Data Systems & Analysis |
| CPSC 652 |
Hadoop and NoSql |
| CPSC 570 |
Advanced Robotics |
Cybersecurity courses
| CPEG 561 |
Network Security |
| CPSC 563 |
Applications Security |
| CPSC 568 |
Cryptography |
| CPSC 571 |
Internet Computing |
Core AI courses
| CPEG 585 |
Computer Vision |
| CPSC 442 |
Python for Data Sciences |
View all courses offered and read full course descriptions in our online course catalog system.
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