Students pursuing a graduate certificate in Computational Statistics and Data Analytics need to complete four graduate-level courses (16 credit hours). Below is the list of the two core required courses and two elective courses.
Course List | Course | Title | Quarter Hours |
| MAT 449 | STATISTICAL DATA MANAGEMENT | 4 |
| MAT 491 | DATA MINING | 4 |
| 8 |
MAT 426 | GENERALIZED LINEAR MODELS | |
MAT 427 | BAYESIAN STATISTICS | |
MAT 442 | APPLIED STATISTICS II | |
MAT 443 | APPLIED STATISTICS III | |
MAT 450 | ADVANCED STATISTICAL COMPUTING | |
MAT 454 | MULTIVARIATE STATISTICS | |
MAT 455 | STOCHASTIC PROCESSES | |
MAT 456 | APPLIED REGRESSION ANALYSIS | |
MAT 459 | SIMULATION MODELS AND MONTE CARLO METHOD | |
MAT 484 | MATHEMATICAL MODELING | |
MAT 488 | OPERATIONS RESEARCH: OPTIMIZATION THEORY | |
MAT 512 | APPLIED TIME SERIES AND FORECASTING | |
In special circumstances and with approval of the graduate program director, one or two of the elective courses can be substituted with other relevant courses.
Students in this certificate program must earn a grade of C- or higher in all graduate courses and finish with a cumulative GPA or 2.0 of higher.
The requirements for admission into this certificate program are:
- Bachelor's degree from an accredited institution
- Successful completion (with a grade of C- or higher) of the following undergraduate coursework:
- A year of single-variable calculus (equivalent of MAT 150-151-152)
- A course in linear algebra (equivalent of MAT 262)
- A course in statistics (equivalent of MAT 348)
- A course in computer programming (e.g., C++, Python, Java, or R)
The admission process and review of applicants is managed by the Office of Graduate Admission via the online application and follows procedures similar to those used for existing graduate programs offered by the Department of Mathematical Sciences.
Content displayed from this DePaul University catalog page.