This program was added to the 2023-2024 University Catalog on December 5, 2023. This new program has been approved with an initiation term of Spring 2024.
Admissions
The graduate certificate is open to all students who hold baccalaureate degrees in scientific and engineering disciplines from accredited universities in accordance with Graduate Admission Requirements. Non-degree graduate students are welcome to apply. Current degree seeking students in the College of Engineering and Computing may request admission as a secondary degree.
Policies
A cumulative GPA of 3.00 is required, and at most one course with a grade of C may be applied toward the certificate.
For policies governing all graduate certificates, see AP.6.8 Requirements for Graduate Certificates.
This program was added to the 2023-2024 University Catalog on December 5, 2023. This new program has been approved with an initiation term of Spring 2024.
Certificate Requirements
Total credits: 12
This certificate may be pursued on a full-or part-time basis.
Required Courses
| Code | Title | Credits |
|---|---|---|
| ECE 527 | Learning From Data | 3 |
| ECE 554 | Machine Learning for Embedded Systems | 3 |
| Total Credits | 6 | |
Electives
| Code | Title | Credits |
|---|---|---|
| Select two courses from the following list: | 6 | |
| ECE 556 | Neuromorphic Computing | |
| ECE 552 | Big Data Technologies | |
| ECE 617 | Distributed and Federated Learning | |
| ECE 618 | Hardware Accelerators for Machine Learning | |
| ECE 651 | Advanced Learning From Data | |
| ECE 653 | Machine Learning Security and Privacy | |
| Total Credits | 6 | |