Lindsey Wilson College
Master of Science in Data Science
Data Science

Master of Science in Data Science Graduate Program

The Master of Science in Data Science (MSDS) is an application-based program, which requires 30 credit hours of core coursework in statistics, data science, and machine learning, and a minimum of three credits of internship. The courses are all offered in a hybrid format combining classroom and online instruction.

Interested students should contact an Academic Advisor.

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About Lindsey Wilson College

Lindsey Wilson College was founded in 1903 as Lindsey Wilson Training School by the Louisville Conference of the Methodist Episcopal Church, South. While historically the College's focus has been to serve the citizens of South Central Kentucky, Lindsey Wilson serves a diverse group of students. The 2019-2020 enrollment included more than 2,500 undergraduate and graduate students and more than 1,100 residential students with the student body representing 106 of Kentucky's 120 counties, 34 U.S. states and territories, and 35 foreign countries.

The MSDS degree...

aligns with Lindsey Wilson College's mission to serve the educational needs of its students and the institutional goal to strive for the highest degree of educational excellence by providing programs based on the findings of research. The rise of data-driven strategies has been accompanied by an increasing demand for data skill-related hires. The Bureau of Labor Statistics projects a 35% growth in employment opportunities for data scientists between now and 2031.

Course Delivery

Classes will be offered in a blended format, through a combination of courses that meet face-to-face one weekend per semester and fully online courses. Learn more.

What can you do with a Degree in Data Science?

While data science is still a relatively new career field, employers are increasingly recognizing the value of employees who have this expertise. Today, data scientists are working at a range of organizations, including in fields such as product development, marketing, and public health, as well as scientific research in areas like genomics, drug discovery, climate science, neuroscience, particle physics, and research institutions. The sheer amount of data available to firms and the tools used to analyze this information has expanded tremendously in the past decade.