Data Science

Department of Computer Science

Our highly nationally ranked undergraduate data science program was the first of its kind to be offered in the United States.

The program arms students with the skills needed to scrape, process, organize and analyze large data sets effectively, visualize trends, and uncover meaningful insights. Our multifaceted courses combine mathematics, computer science and utilize industry tools.

Whether your passion lies in sports analytics, precision medicine, stock market forecasting, or in leveraging big data for business insights, our comprehensive course provides the ideal foundation.

Consistently ranked as one of the top fields to watch for the next decade, our graduates have established themselves in industry-leading analytic companies. or have secured graduate school fellowships in Ivy League colleges. Our new curriculum allows you to hone your focus further within emerging fields including:

  • Biomedical informatics
  • Business analytics
  • Bioinformatics
  • Geoinformatics
  • Physics
  • Digital humanities
  • Health informatics

Degree Programs

Our undergraduate data science program is supported by the joint efforts of the College of Charleston Department of Computer Science and the Department of Mathematics. The graduate data science program is open to students from all backgrounds.
  • B.S. Data Science

    Enroll in South Carolina's pioneering Master's in Data Science and Analytics!

    Be part of the next generation of data science practitioners. Start enhancing your skills in machine learning, AI, big data, and analytics.

    DATA is new. DATA is hot. DATA is suited to students who love to apply computing and math. As a data science major, you may select from one of four specializations which you can customize to match your career and academic goals.

    • Business Analytics Emphasis (e.g., Economics, Entrepreneurship, Finance)
    • Sciences Emphasis (e.g., Bioinformatics, Geoinformatics, Physics)
    • Social Sciences Emphasis (e.g., Psychology, Sociology)
    • Arts and Humanities Emphasis (e.g., Archaeological Informatics, Digital Humanities)
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  • M.S. Data Science

    Open to students from all undergraduate programs.

    Prospective students must be able to demonstrate competency in the areas of statistics, linear algebra, calculus, and computer programming.

    Can be completed within 12 months

    Graduate Assistantships available to help defray enrollment costs


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