The Artificial Intelligence and Machine Learning Graduate Certificate is offered by the Department of Electrical Engineering and Computer Science. The applicants are expected to have a Bachelor’s degree in a computing or related field with an undergraduate GPA of 3.00 or better. Recommended background knowledge includes Programming, Linear Algebra, and Probability Theory. Applicants lacking a programming background are encouraged to take COSC 505 before commencing the certificate. Applicants may be admitted to the certificate or complete the certificate as part of an MS or PhD.
The certificate will help you build a strong foundation in core components of artificial intelligence and machine learning, and prepare for industry or academic positions as a leader in the field. The certificate consists of a minimum of 15 graduate credit hours with a minimum grade of B in each course. The requirements are as follows:
Graduate Certificate Type
- Applicants must meet the minimum admission requirements of the University of Tennessee, Knoxville, Graduate School.
- Must apply for the certificate online through the Office of Graduate Admissions.
Credit Hours Required
A minimum of 15 graduate credit hours is required for the certificate.
Required courses (6 credit hours):
Technical Concentration (9 credit hours): At least three courses selected from the following:
Supplemental Courses: Useful background knowledge, but not counted towards this certificate:
Recommended Background: Programming (COSC 102, COSC 111, or COSC 505), Linear algebra (e.g., MATH 251 or MATH 257 with a grade of C or better), probability theory (e.g., ECE 313 or ECE 317 or MATH 323 with a grade of C or better).
To receive the certificate, students must:
1) complete the Graduate Certificate Course Verification Form (located on the Graduate School webpage under the Forms Central tab) and
2) through MyUTK, apply to graduate from the certificate program.