The Master of Professional Studies in Applied AI—Connect program is designed for students without prior experience in engineering, computer technology, or statistics. The program requires an additional 9 semester hours of coursework that provide the intensive, hands-on instruction necessary for students considering a career change to artificial intelligence, connecting the student's current background to artificial intelligence applications.
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Connect Courses
Course List | Code | Title | Hours |
| AAI 5015 | Mathematical Concepts | 3 |
| AAI 5025 | Python | 3 |
| AAI 5035 | Research Methods and Scientific Writing | 3 |
Core Courses
Course List | Code | Title | Hours |
| |
| AAI 6600 | Applied Artificial Intelligence | 3 |
| AAI 6610 | Applied Machine Learning | 3 |
| AAI 6620 | Applied Natural Language Processing | 3 |
| AAI 6630 | Applied Computer Vision | 3 |
| 6 |
| Applied Deep Learning | |
| Recommender System | |
| Prompt Engineering | |
| Generative Artificial Intelligence | |
| Applied Reinforcement Learning | |
| Applied Quantum AI | |
| Applied Blockchain AI | |
| AI for Autonomous Systems | |
| Special Research Topics in AI | |
| AAI 6980 | Integrated Experiential Capstone | 4 |
Concentration or Electives Option
A concentration is not required. Students may complete the electives option in lieu of a concentration.
Optional Experiential Learning Opportunities
The College of Professional Studies encourages its students to incorporate optional experiential learning opportunities in their academic plans.
Course List | Code | Title | Hours |
| |
| INT 6200 | Experiential Project Preparation | 1 |
| COP 6945 | Co-op Work Experience—Full Time | 0 |
| or COP 6946 | Global Co-op Work Experience—Full Time |
| or COP 6954 | Co-op Work Experience - Half-Time |
| |
| INT 6943 | Integrative Experiential Learning | 3 |
Program Credit/GPA Requirements
43 total semester hours required
Minimum 3.000 GPA required
AI for 3D Imaging Concentration
Course List | Code | Title | Hours |
| |
| AAI 6710 | Graph Signal Processing | 3 |
| AAI 6720 | Graph Neural Networks | 3 |
| AAI 6730 | Deep Learning for 3D Point Cloud Analysis | 3 |
| 3 |
| Applied Deep Learning | |
| Recommender System | |
| Generative Artificial Intelligence | |
| Applied Reinforcement Learning | |
| Applied Quantum AI | |
| Applied Blockchain AI | |
| AI for Autonomous Systems | |
Conversational AI and Chatbots Concentration
Course List | Code | Title | Hours |
| |
| AAI 6660 | Chatbot Architecture | 3 |
| AAI 6670 | Chatbot Application | 3 |
| 6 |
| Applied Deep Learning | |
| Recommender System | |
| Prompt Engineering | |
| Generative Artificial Intelligence | |
| Applied Reinforcement Learning | |
| Applied Quantum AI | |
| Applied Blockchain AI | |
| AI for Autonomous Systems | |
Machine Learning for Cybersecurity Concentration
Course List | Code | Title | Hours |
| |
| AAI 6680 | AI for Cybersecurity | 3 |
| AAI 6690 | Machine Learning for Cyberdetection | 3 |
| 6 |
| Applied Deep Learning | |
| Recommender System | |
| Generative Artificial Intelligence | |
| Applied Reinforcement Learning | |
| Applied Quantum AI | |
| Applied Blockchain AI | |
| AI for Autonomous Systems | |
Electives Option
Course List | Code | Title | Hours |
| |
