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
| 460 |
Introduction to Robotics |
| 461 |
Advanced Robotics |
| 585 |
Computer Vision |
| 588 |
Introduction to Autonomous Vehicles |
Deep Learning and Computer Vision courses
| 585 |
Computer Vision |
| 586 |
Deep Learning |
| 588 |
Autonomous Vehicles |
| 686 |
Advanced AI and Deep Learning |
Data Sciences and Data Analytics courses
| 552 |
Data Mining |
| 651 |
Big Data Systems & Analysis |
| 652 |
Hadoop and NoSql |
| 570 |
Advanced Robotics |
Cybersecurity courses
| 561 |
Network Security |
| 563 |
Applications Security |
| 568 |
Cryptography |
| 571 |
Internet Computing |
Core AI courses
| 585 |
Computer Vision |
| 442 |
Python for Data Sciences |
View all courses offered and read full course descriptions in our .
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