Arizona State University Ira A. Fulton Schools of Engineering 18 courses 30 total credits
There's an increasing need for all engineers to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Yet the majority of engineering occupations require subject matter expertise beyond data science. For mechanical and aerospace engineering, the need for data science, including machine learning, is felt in all subdisciplines, including controls, energy systems, aeronautics, astronautics and mechanics. The mechanical and aerospace engineering concentration in the Master of Science program in data science, analytics and engineering provides you with an advanced education that combines high-demand data science and mechanical and aerospace engineering. The program offers you a focus on probability and statistics, machine learning and data engineering that is complemented by mechanical and aerospace engineering-specific courses to ensure breadth and depth in both data science and mechanical and aerospace engineering.
| Required Core | 9 credits |
| Concentration | 9 credits |
| Total Credits | 30 credits |
Required Core
Students choose one: Students choose one: Students choose one:
Concentration
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| FSE 570 | Data Science Capstone | 3 |
| MAE 593 | Applied Project | 3 |
| MAE 599 | Thesis | 6 |
Additional Curriculum Information
Concentration and elective coursework should be selected in consultation with the program advisor. Coursework selected for the required core may not be used as elective coursework on the same plan of study. Students should check with their academic advisor to ensure that the total number of credit hours in their plan of study equals 30.
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