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.
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: | 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 | |