Certificate in Data Science in Engineering
The Certificate in Data Science in Engineering provides students with the knowledge, skills, and experience necessary to apply data science and machine learning technologies to engineering problems. The curriculum equates with the core course requirements of the Master of Science in Data Science in Engineering so that interested students who complete the certificate program are well-positioned to continue in the broader master of science program.
| Code | Title | Credit Hours |
|---|---|---|
| Choose 3 cr-hr from four of the following five categories (12 cr-hr total). | ||
| (1) Engineering fundamentals of AI and data science principles. | ||
| BME 560 | Methods in Biomedical Data Science | 3 |
| or ECE 566 | Machine and Deep Learning | |
| or MMAE 500 | Data Driven Modeling | |
| (2) Methods and applications of deep learning and related tools. | ||
| MMAE 506 | Methods and Applications of Deep Learning | 3 |
| (3) Engineering science of data systems, handling, and processing. | ||
| ECE 573 | Cloud Computing and Cloud Native Systems | 3 |
| (4) Trustworthy AI. | ||
| ECE 572 | Secure Machine Learning Design and Applications | 3 |
| (5) Experiences in engineering application of data science, AI, and machine learning. 1 | ||
| BME 597 | Special Problems | 3 |
| or CAE 597 | Special Problems | |
| or CHE 597 | Special Problems | |
| or ECE 597 | Special Problems | |
| or MMAE 597 | Special Topics | |
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This course must be approved by the Data Science in Engineering Steering Committee.
