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 courses cannot be counted.

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

Students will choose from one of the concentration areas early in their program:

Machine Learning
Biomedical Engineering
Autonomous Systems

Academic standards

After the first semester, students in this program are required to maintain a 3.0 cumulative GPA to remain in good standing. Students who fall below 3.0 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. Full details about the academic standards required at UNT can be found in the academic standard section of the catalog.

To qualify for the master’s degree, the student must earn a grade of B or better in core, bridge, and validation methods courses and a grade of C or better in elective 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
12 hours of courses in their chosen concentration
3 hours of elective courses

Course-only option

Students take the following for a total of 33 hours:

6 hours of bridge courses
12 hours of core courses
12 hours of courses in their chosen concentration
3 hours of elective courses

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.

Biomedical engineering concentration:
BMEN 5007 - Research Methods in Biomedical Engineering
Machine learning concentration:
CSCE 5310 - Methods in Empirical Analysis
Autonomous systems concentration:
EENG 5320 - Systems Modeling and Simulation

Core (non-thesis)

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

Core (thesis)

Thesis students will take the following 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.

The ”validations methods course” required for the degree is to be included in the 12 hours of course work required for the student’s 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.

Elective courses

Elective credits can be from any concentration courses beyond the credit hour requirements, or any organized course within the Department of Computer Science and Engineering.

The elective course options will not include a course chosen from the degree’s core courses, as all of the listed core courses are required for the degree.

All students in the department are permitted to take one course outside of the department with prior approval of an advisor. A list of approved courses can be found on the Department of Computer Science and Engineering website.

Students can complete any combination of three approved, one-hour CSCE courses that will substitute as one, three-hour elective course. These one-hour courses can be chosen from CSCE 5932 - Internship , CSCE 5931 - CSE Seminar , CSCE 5935 - CSE Research and Professionalism Overview or CSCE 5900 - Special Problems .