Master of Science in Data Science in Engineering
The Master of Science in Data Science in Engineering produces graduates with the knowledge, skills, and experience necessary to apply data science and machine learning technologies to engineering problems. Each student completes coursework in a common core relevant to all engineering disciplines and then chooses a specialization within a disciplinary domain. The program has flexibility to supplement the common core with domain-specific knowledge and skills, which may include applications of data science, artificial intelligence, and machine learning within the engineering specialization area.
Required core courses (12 cr-hr total):
All students take the following courses.
Any core course substitution must be received Armour College steering committee prior to course registration.
| Code | Title | Credit Hours |
|---|---|---|
| (1) Engineering fundamentals of AI and data science principles (3 cr-hr) | ||
| 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 (3 cr-hr) | ||
| MMAE 506 | Methods and Applications of Deep Learning | 3 |
| (3) Engineering science of data systems, handling, and processing (3 cr-hr) | ||
| ECE 573 | Cloud Computing and Cloud Native Systems | 3 |
| (4) Trustworthy AI (3 cr-hr) | ||
| ECE 572 | Secure Machine Learning Design and Applications | 3 |
Disciplinary Track (18 cr-hr):
Students must choose one of the following tracks, detailed below.
- Architectural Engineering
- Biomedical Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Computer Engineering
- Environmental Engineering
- Mechanical, Materials, and Aerospace Engineering
- Pharmaceutical Engineering
Architectural Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Disciplinary elective courses (12 cr-hr): take four courses from among the following. | ||
| CAE 505 | Applications of Computational Fluid Dynamics in Engineering | 3 |
| CAE 513 | Building Science | 3 |
| CAE 517 | HVAC Systems Design | 3 |
| CAE 524 | Building Enclosure Design | 3 |
| CAE 526 | Energy Conservation in Buildings | 3 |
| CAE 538 | Control of Building Environmental Systems | 3 |
| CAE 550 | Applied Building Energy Modeling | 3 |
| CAE 552 | Introduction to Sustainable Building Design | 3 |
| CAE 553 | Measurement and Instrumentation in Architectural Engineering | 3 |
| CAE 556 | Net Zero Energy Building Design I | 3 |
| CAE 557 | Net Zero Energy Building Design II | 3 |
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Biomedical Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Required courses (8 cr-hr): | ||
| BME 500 | Introduction to Biomedical Engineering | 2 |
| BME 533 | Biostatistics | 3 |
| BME 553 | Advanced Quantitative Physiology | 3 |
| Elective courses (10 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Chemical Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Required courses (15 cr-hr): | ||
| CHE 501 | Transport Phenomena | 3 |
| CHE 503 | Thermodynamics | 3 |
| CHE 506 | Entrepreneurship and Intellectual Property Management | 3 |
| CHE 525 | Chemical Reaction Engineering | 3 |
| or CHE 577 | Bioprocess Engineering | |
| CHE 530 | Advanced Process Control | 3 |
| or CHE 535 | Applications of Mathematics to Chemical Engineering | |
| Elective courses (3 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Civil Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Disciplinary elective courses (12 cr-hr): | ||
| CAE and/or ENVE coursework at the graduate level. | ||
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Electrical and Computer Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Required courses (12 cr-hr): | ||
| ECE 501 | Artificial Intelligence and Edge Computing | 3 |
| ECE 567 | Statistical Signal Processing | 3 |
| ECE 574 | Data Science for Engineers | 3 |
| ECE 590 | Object-Oriented Programming and Machine Learning | 3 |
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Environmental Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Disciplinary elective courses (12 cr-hr): take four courses from among the following. | ||
| ENVE 401 | Introduction to Water Resources Engineering | 3 |
| ENVE 404 | Water and Wastewater Engineering | 3 |
| ENVE 463 | Introduction to Air Pollution Control | 3 |
| ENVE 501 | Environmental Chemistry | 3 |
| ENVE 506 | Chemodynamics | 3 |
| ENVE 522 | Global Environmental Change and Sustainability Analysis | 3 |
| ENVE 528 | Modeling of Environmental Systems | 3 |
| ENVE 542 | Physicochemical Processes in Environmental Engineering | 3 |
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Mechanical, Materials, and Aerospace Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Disciplinary elective courses (12 cr-hr): | ||
| MMAE coursework at the graduate level. | ||
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
Pharmaceutical Engineering Track
| Code | Title | Credit Hours |
|---|---|---|
| Required courses (12 cr-hr): | ||
| CHE 506 | Entrepreneurship and Intellectual Property Management | 3 |
| CHE 577 | Bioprocess Engineering | 3 |
| CHE 583 | Pharmaceutical Engineering | 3 |
| CHE 585 | Drug Delivery | 3 |
| Elective courses (6 cr-hr): | ||
| Advisor approved courses in engineering, mathematics, or computer science. | ||
