The graduate certificate in Data Science is a four‐course (12 credit‐hours) program. It provides skills, both statistical and computational, and technologies for the growing and popular fields involving data science and analysis. All students must take three required courses and one elective, subject to the graduate school regulations.
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. For more information, students can contact the department chair or email info@arch.umsl.edu.
Applicants must have the following courses, take them as prerequisites, have related background or experience, or have graduate standing in Computer Science or Cybersecurity. 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: introductory 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 all the certificate courses. Those not having nor planning to complete 3130 or similar course can start with Cmp Sci 4200, then 5342, then 5340 and an elective.
Certificate Coordinators: Cezary Janikow
This certificate can be complete Evenings 
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