University of Illinois Springfield College of Health, Science and Technology 24 courses 36 total credits
The M.S. in Data Analytics, an OPT-STEM program, aims at providing an interdisciplinary approach to data analytics that covers both the foundational mathematical knowledge of data science and the computational methods and tools for preprocessing, interpreting, analyzing, representing, and visualizing data sets.
| Total Credits | 36 credits |
Prerequisites
| Code | Course Title | Credits |
|---|---|---|
| CSC 225 | Computer Programming Concepts I | 3 |
| CSC 275 | Computer Programming Concepts II | 3 |
| CSC 302 | Discrete Structures | 4 |
| CSC 385 | Data Structures and Algorithms | 4 |
| DAT 332 or MAT 332 | Matrix Analysis and Numerical Optimization or Linear Algebra | 4 |
| MAT 113 or MAT 115 | Business Calculus or Calculus I | 4 |
| MAT 121 | Applied Statistics | 3 |
| Total Prerequisites | 25 credits | |
Required Courses
Electives (Choose two)
| Code | Course Title | Credits |
|---|---|---|
| CSC 533 | Data Mining | 4 |
| CSC 561 | NoSQL Databases | 4 |
| CSC 562 | Data Visualization | 4 |
| CSC 570 | Advanced Topics in Computer Systems | 1-4 |
| CSC 572 | Advanced Database Concepts | 4 |
| DAT 444 or MAT 444 | Operations Research Methods or Operations Research Methods | 4 |
| DAT 570 | Advanced Topics in Data Analytics | 4 |
| Total Electives (Choose two) | 8 credits | |
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