Program Overview
Introduction to the Master of Science in Artificial Intelligence Engineering
The Master of Science in Artificial Intelligence Engineering (MS-AIEN) degree is a graduate degree open to everyone with a baccalaureate degree from an institution of recognized standing, either in computer science, software engineering, or another STEM discipline, or with relevant professional experience that provides necessary background knowledge of programming, computing, and mathematics.
Program Requirements
The program entails a minimum of 30 semester graduate credit hours. All students are required to take three core courses and seven technical electives from a department-prescribed list of courses related to AI and its subareas.
Core Courses
- COMP6600: Artificial Intelligence (3 hours)
- COMP6630: Machine Learning (3 hours)
- COMP6130: Data Mining (3 hours)
Technical Electives
- Select 21 graded credits from a list of department-prescribed technical electives related to AI and its subareas (21 hours)
- Total credit hours for the program: 30
Program Structure
Students who have taken the 5000 level version of any 6000 level course cannot take the course in its 6000 level format. Those students must substitute other graduate courses as approved by the department. All courses required for the degree must be taken for a grade.
Graduate Programs in the Department
The department offers various graduate programs, including:
- Computer Science and Software Engineering Graduate Certificate, MS, PhD
- Artificial Intelligence Engineering MS
- Artificial Intelligence Engineering Graduate Certificate
- Computer Science and Software Engineering MS
- Computer Science and Software Engineering (Distance) MS
- Computer Science and Software Engineering PhD
- Cybersecurity Engineering Graduate Certificate, MS
- Data Engineering Graduate Certificate
- Data Science and Engineering (On Campus or Online) MS
- Electronics Parts, Manufacturing, and Packaging Engineering Graduate Certificate
- Healthcare Systems Engineering Graduate Certificate
- Space Systems Graduate Certificate
Graduate Minors
The department also offers graduate minors for students to further specialize in their area of interest.
Research Areas
The program covers a wide range of research areas, including machine learning, computer vision, natural language processing, and more. Students can engage in directed studies (COMP7930) and/or a capstone engineering project (COMP7980) as part of their technical electives.
