Master of Science: Artificial Intelligence
Student Learning Outcomes
Students graduating from this program will:
- Develop solutions for advanced problems using appropriate skills and knowledge in artificial intelligence, machine learning, and natural language processing.
- Demonstrate advanced knowledge in an area of specialization.
- Recognize and apply state of the art techniques and tools in the artificial intelligence field.
- Communicate effectively in both written and oral forms.
Program Requirements
| Code | Title | Credits |
|---|---|---|
| Required Coursework | ||
| COMP-SCI 5530 | Principles of Data Science | 3 |
| COMP-SCI 5538 | Generative AI & Large Language Models | 3 |
| COMP-SCI 5563 | Natural Language Processing | 3 |
| COMP-SCI 5565 | Introduction to Machine Learning | 3 |
| COMP-SCI 5567 | Deep Learning | 3 |
| Elective Options | 15 | |
| Principles of Big Data Management | ||
| Big Data Analytics and Applications | ||
| Information Security and Assurance | ||
| Computer Vision | ||
| Data Science Capstone | ||
| Directed Readings | ||
| Optimization | ||
| AI and Automation in Business Processes | ||
| Machine Learning and Python in Health Sciences | ||
| Special Topics (Data, Decisions, and Justice) | ||
| Total Credits | 30 | |