Program Overview

Data Science Graduate Certificate

Program Overview

The graduate certificate in Data Science is a four-course (12 credit hour) program that provides skills, both statistical and computational, and technologies for the growing and popular fields involving data science and analysis.

Program Requirements

All students must take two required courses and two electives. A minimum of three courses must be taken from UMSL. A maximum of two courses can be used from the 4000-level. Courses may be substituted with the permission of the certificate coordinator.

Required Courses

• CMP SCI 4200: Python for Scientific Computing and Data Science (3 credits)
• CMP SCI 5340: Machine Learning (3 credits)
• CMP SCI 5342: Data Mining (3 credits)

Elective Courses

Choose two of the following:

• CMP SCI 4610: Database Management Systems
• CMP SCI 5151: Statistical Methods for Data Science
• CMP SCI 5370: Biological Data Science
• CMP SCI 5390: Deep Learning
• CMP SCI 5411: Data Visualization
• MATH 4005: Exploratory Data Analysis with R
• MATH 4220: Bayesian Statistical Methods

Total Hours

12 credits

Academic Affairs

For more information about the program, students can contact the department chair.