The undergraduate certificate in Data Science is a five-course (15 credit hour) program. It provides skills, both statistical and computational, and technologies for the growing and popular fields involving data science and analysis. A student pursuing this certificate can choose from one of two tracks, this computational track or the statistical track. Each track consists of three required courses (9 credit hours) and two additional elective courses (6 credit hours). A minimum GPA of 2.5 is required for admission.
A minimum of three courses must be taken from UMSL. Courses may be substituted with the permission of the certificate coordinator. For more information, contact the department chair or email info@arch.umsl.edu.
In the Computational Track students must have the following courses, take them as prerequisites, or have related background or experience. Additional areas/courses may be needed depending on specific chosen electives.
Mathematics and Statistics: at least basic calculus and introduction probability/statistics such as Math 1100 or 1800, 1320
Computer Science: introduction to programming such as Cmp Sci 1250
Note that there are two paths to complete the certificate. Students having Cmp Sci 3130 Analysis and Design of Algorithms or similar in their curriculum can complete the certificate courses after completing that course. Those not having nor planning to complete this or similar course can start with Cmp Sci 4200, then 4342, then 4340 and an elective.
Certificate Coordinators: Cezary Janikow (for the Computational Track)
This certificate can be complete Evenings 
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