Curriculum: MS in Artificial Intelligence Align
Align Bridge Coursework
Students are required to complete two or more of the following bridge courses, to be determined by faculty mentor. A grade of B or higher is required in each course.
| Code | Title | Hours |
| Fundamentals | ||
| CS 5001 and CS 5003 | Intensive Foundations of Computer Science and Recitation for CS 5001 | 4 |
| Discrete Structures | ||
| CS 5002 | Discrete Structures | 4 |
| Object-Oriented Design | ||
| CS 5004 and CS 5005 | Object-Oriented Design and Recitation for CS 5004 | 4 |
| Additional ALIGN Courses | ||
| CS 5008 and CS 5009 | Data Structures, Algorithms, and Their Applications within ComputerSystems and Recitation for CS 5008 | 4 |
Core Requirements
A cumulative GPA of 3.000 or higher is required in the following core courses:
| Code | Title | Hours |
| CS 5100 | Foundations of Artificial Intelligence | 4 |
| CS 5130 | Applied Programming and Data Processing for AI | 4 |
| DADS 5200 or DS 5020 | Mathematics for Machine Learning or Introduction to Linear Algebra and Probability for Data Science | 4 |
| EECE 5644 or DADS 7275 | Introduction to Machine Learning and Pattern Recognition or Machine Learning and Data Analytics | 4 |
Concentrations
Complete one of the following concentrations:
- Machine Learning
Program Credit/GPA Requirements
36–44 total semester hours required
Minimum 3.000 GPA required
Concentration in Machine Learning
| Code | Title | Hours |
| CS 5800 | Algorithms | 4 |
| Complete 8 Semester Hours from the following: | 8 | |
| CS 5180 | Reinforcement Learning and Sequential Decision Making | |
| CS 5330 | Pattern Recognition and Computer Vision | |
| CS 6120 | Natural Language Processing | |
| CS 6200 | Information Retrieval | |
| CS 6220 | Data Mining Techniques | |
| CS 7140 | Advanced Machine Learning | |
| CS 7150 | Deep Learning | |
| CS 7180 | Special Topics in Artificial Intelligence | |
| Capstone | ||
| Complete 4 Semester Hours from the following: | 4 | |
| CS 6170 | AI Capstone | 4 |
| CS 8674 | Master’s Project | 4 |
| Optional Co-op | ||
| Complete the following: | ||
| Students must complete a required co-op preparation course before participating in co-op; consult your academic advisor for details. | ||
| CS 6964 or CS 6954 or CS 6965 or CS 6955 |
Co-op Work Experience Co-op Work Experience – Half-Time Co-op Work Experience Abroad Co-op Work Experience Abroad – Half-Time |
* Please note: this curriculum is for marketing purposes only, and is subject to change.