Artificial Intelligence, MS

The Master of Science with a major in artificial intelligence gives students skills and knowledge that help them qualify for jobs in the desirable and up-and-coming field of artificial intelligence. This face-to-face program is interdisciplinary, which allows students from varying engineering and computer science programs to specialize in AI as it relates to their interests.

The Master of Science with a major in artificial intelligence requires courses that include bridge courses, core courses, and courses in a chosen concentration. Students can choose between two master’s degree options:

Option A: Thesis option (30 hours that include 6 hours of thesis). Leveling and internship courses cannot be counted.

Option B: Course option (33 hours). Leveling and internship courses cannot be counted.

Students will choose from one of the concentration areas.

Machine Learning
Biomedical Engineering
Autonomous Systems

All graduate students pursuing the MS with a major in artificial intelligence must create their degree plan in consultation with their advisor.

Academic standards

If a student’s GPA on all graduate and/or deficiency courses falls below 3.0, the student will be placed on probation the following term/semester. Students who cannot raise their GPA above 3.0 during that term/semester will be dropped from the program. To qualify for the master’s degree, the student must earn a grade of B or better in each of the bridge and core courses.

Required courses

Thesis option

Students take the following for a total of 30 hours:

6 hours of bridge courses
9 hours of core courses, and
15 hours of courses in their chosen concentration.

Course-only option

Students take the following for a total of 33 hours:

6 hours of bridge courses
12 hours of core courses, and
15 hours of courses in their chosen concentration.

Bridging courses

Students will take 6 hours of bridging coursework that introduces the concepts of artificial intelligence. These courses should be taken before completing the core courses.

Validations methods course

Students will select a course related to validation methods as determined by their concentration.

Core (non-thesis)

Non-thesis students will take 12 hours of core courses.

Core (thesis)

Thesis students will take 9 hours of core courses.

Concentration areas

Students will complete 12 hours of concentration coursework. Students will select 4 courses from the list of available courses in their chosen concentration.

Students pursuing the thesis option will take 6 hours of thesis coursework within the department that their concentration resides.

Machine learning concentration

Students will complete 12 hours of elective courses to complete the machine learning concentration. Thesis students will take 6 semester hours of elective coursework and 6 semester hours of CSCE 5950-Master’s Thesis.

To complete the 12 elective course requirement, students can choose courses from the list below or select one unrestricted three-credit hour CSCE graduate course, or alternately a course outside of CSCE, with prior advisor or program approval.

Biomedical engineering concentration

Students will complete 12 hours of elective courses to complete the biomedical engineering concentration. Thesis students will take 6 semester hours of elective coursework and 6 semester hours of BMEN 5950-Master’s Thesis.

Students can choose four courses from the list below or select three courses from the list below and one unrestricted three-credit hour BMEN graduate course.

Autonomous systems concentration

Students will complete 12 hours of elective courses to complete the autonomous systems concentration. Thesis students will take 6 semester hours of elective coursework and 6 semester hours of EENG 5950-Master’s Thesis.

Students can choose four courses from the list below or select three courses from the list below and one unrestricted three-credit hour EENG graduate course.