University of Wisconsin-Madison Computer Sciences 33 courses 30 total credits
The MS in Data Engineering program focuses on the principles and practices of managing data at scale. It emphasizes the valid and efficient collection, storage, management, and processing of datasets to support computation and data driven systems important to data science and data analytics functions. Given the increasing amounts of data being generated and processed daily, almost all industries need data engineers to build and maintain robust data-handling systems. There is a strong workforce demand for data engineering expertise.
| Total Credits | 30 credits |
Data Engineering Foundations
Machine Learning Requirement
Algorithms Requirement
| Code | Course Title | Credits |
|---|---|---|
| COMP SCI 524 | Introduction to Optimization | 3 |
| COMP SCI 577 | Introduction to Algorithms | 4 |
| COMP SCI 726 | Nonlinear Optimization I | 3 |
| COMP SCI 787 | Advanced Algorithms | 3 |
Systems Requirement
Humans and Data Requirement
| Code | Course Title | Credits |
|---|---|---|
| COMP SCI 570 | Introduction to Human-Computer Interaction | 3 |
| COMP SCI 571 | Building User Interfaces | 3 |
| COMP SCI 765 | Data Visualization | 3 |
| COMP SCI 770 | Human-Computer Interaction | 3 |
Electives
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