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.
For the 2025–2026 academic year, the MPS Applied AI—Connect program is being offered as a collaboration between the College of Professional Studies and the Office of the Provost. During this period, students will follow Northeastern University’s Graduate Academic Calendar and be governed by the academic policies and procedures documented in the university’s Graduate Catalog.
During the time a student is designated under the Office of the Provost, the College of Professional Studies will provide each student with full academic and student support services (e.g., academic advising services, co-op and career advising services, International Tutoring Center, etc.).
Beginning in the 2026–2027 academic year, students enrolled in the MPS Applied AI—Connect program will transition to the College of Professional Studies, and their official college designation will be updated accordingly in the academic system of record. At that time, students will be governed by the academic policies and procedures documented in the university’s Graduate Catalog, specifically relating to the College of Professional Studies.
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 |
| 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.
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 |
| |
