May 28, 2026  
2025-2026 Graduate Catalog 
    
2025-2026 Graduate Catalog

Data Science, MS


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The Master of Science with a major in Data Science degree is a two-year interdisciplinary program taught by faculty from the Department of Computer Science, the Department of Biostatistics, and the Institute of Biomedical Informatics. The curriculum aims to prepare the future data science professional with a critical skillset that includes data processing, visualization, database management, machine learning, big data analytics, and statistical reasoning. The program includes a required capstone project, in which students analyze real-life datasets in a selected application domain in collaboration with domain experts and other data scientists. 

The Master of Science with a major in Data Science degree is available with two concentrations: 

  • Biomedical Informatics 

  • Software and Systems 

See below for admission and degree requirements, and the program website (https://www.engr.uky.edu/data-science) for additional information. 

Admission Requirements

Admission to the program requires a minimum undergraduate GPA of 3.0 on a 4.0 scale. Students must have successfully completed a course in calculus (comparable to the UK course MA 113) and two courses in programming (comparable to the UK courses CS 115 and CS 215). Students will preferably have also successfully completed a course on linear algebra (such as the UK course MA 322) and will have experience using several programming languages. Exceptions to these requirements may be made by the Director of Graduate Studies if other persuasive evidence indicating the student’s potential of success is available. Such evidence could include high scores on standardized tests (e.g., GRE); demonstrated ability in computer programming; or strong performance in courses in the sciences, engineering, mathematics, statistics, or other quantitative disciplines.

Degree Requirements


The program requires 33 credit hours which are divided into Major (27 hours) and Concentration (6 hours). 

Major Requirements


TOTAL: 27 credit hours

Guided Electives


Guided Electives in CS (3 credit hours). One of the three required:

Free Electives


9 credit hours

  • All electives must be approved by the DGS. At least two free electives must be at the 600 or 700 level. Moreover, free electives must include at least two courses (6 credits) with a strong data science component in the subject area of the student’s project. 

Concentration Requirement


There are currently two concentrations from which the student is required to select. 

Biomedical Informatics Concentration


Software and Systems Concentration


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