Curriculum: MS in Artificial Intelligence Align

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

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

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

36–44 total semester hours required

Minimum 3.000 GPA required

* Please note: this curriculum is for marketing purposes only, and is subject to change.