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Programs of Study

Areas of Specialization

The School of Computing is committed to providing academic excellence through a diverse graduate program of study, including three Doctoral and four Masters Degrees. Graduate students in the School of Computing have access to leading faculty, superior facilities, and dedicated advisors. More information about these programs is available below. For additional detail on our PhD and DPA programs contact Adam Rollins at For additional detail on our Computer Science MS and MAC programs, contact Becca Spilka at

All degree programs listed below are STEM-designated.

  • MS Ready
    Master of Applied Computing

    The MAC offers students without a computer science background the opportunity to obtain an advanced computing degree through a core readiness sequence and one of six tracks - AI and machine learning, cybersecurity, data science, human-computer interaction, software engineering, or visual computing.

    Computer Science, M.S.

    This program prepares one for a career in advanced computing and Ph.D. studies through rigorous coursework and participation in innovative research projects. Students graduate with a foundation in computer science and practical experience in designing and implementing software systems.

  • PhD CPSC
    Computer Science, Ph.D.

    The Ph.D. in Computer Science is designed to offer students the opportunity to engage in innovative research in all areas of computing, while also expanding knowledge in core sectors of computer science.

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    Human-Centered Computing, Ph.D.

    This Ph.D. is focused on the design, creation, and evaluation of computational technologies as they relate to the human condition and how these technologies affect society. The objective of the degree is to prepare graduates for research positions in industry and academia by extending the frontier of knowledge.

  • DPA
    Digital Production Arts, M.S./M.F.A.

    The M.S. is a technical degree focused on software development for digital art using the tools and programming of computer graphics. The M.F.A. combines an applied creative education with the technical know-how to wield and develop digital software tools. The M.F.A. has a mandatory thesis with a DPA focus.

  • Biomedical MS
    Biomedical Data Science & Informatics, M.S.

    The BDSI M.S. is an interdisciplinary program that spans computing, mathematics, public health, and the biological sciences. Graduates of the program will be able to manage and analyze big data sources from mobile sensors to genomic and imaging technologies.

  • Biomedical MS
    Biomedical Data Science & Informatics, Ph.D.

    The Ph.D. in BDSI is a joint program offered by Clemson University and the Medical University of South Carolina. The program brings together Clemson's strengths in computing, engineering, and public health and MUSC's expertise in biomedical sciences.