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Program Overview


The 18-credit-hour Undergraduate Certificate in Data Science program provides basic training on skills required for working in growing and popular fields involving data and data analysis. It provides both statistical and computational background while also allowing to focus on specific technologies. Students pursuing this certificate can choose from one of the two tracks, the computational track or the statistical track. Each track consists of three required courses plus three additional elective courses.


Required Courses - Statistical Track (9 hours)

MATH 4200 Mathematical Statistics I 3
MATH 4210
Mathematical Statistics II 3
Choose one from the following:
MATH 4250 Intro to Statistical Methods in Learning 3
CMP SCI 4340 Intro to Machine Learning 3

Required Courses - Computational Track (9 hours)

CMP SCI 4340/5340 Intro to Machine Learning 3
CMP SCI 4342/5342
Intro to Data Mining 3
Choose one from the following:
MATH 4200 Mathematical Statistics I 3
MATH 4210 Mathematical Statistics II 3

Electives - Choose Three (9 hours)

CMP SCI 4030/5030 Intro to Intelligent Web 3
CMP SCI 4320/5320
Intro to Evolutionary Computation 3
CMP SCI 4370/5370 Intro to Biological Data Science 3
CMP SCI 4390/5390 Intro to Deep Learning 3
MATH 4090 Intro to High-dimensional Data Analysis 3
MATH 4220 Bayesian Statistical Methods 3
MATH 4225 Intro to Statistical Computing 3
MATH 4260 Intro to Stochastic Processes 3

Residency Requirement: Of the above required six courses at least four must be taken at the University of Missouri-St. Louis.

Learn more about the program curriculum.