Master of Science in Data Science and Analytics

Gain expertise in artificial intelligence, machine learning, business intelligence, and more.

The Data Science and Analytics program at College of Charleston is designed for individuals who want to excel in fields such as national security, genomics, drug informatics, and biomedical informatics.  With a comprehensive curriculum and 30 credit hours, you'll acquire the necessary skills to succeed. Not only are we the 13th oldest institution in the US with a strong liberal arts and sciences foundation, we are also proud to be the first in South Carolina to offer a Masters degree in Data Science. 

Why earn your M.S. in Data Science and Analytics at the College of Charleston?

Booming Local Tech Industry
Charleston is an amazing city to explore, but it offers a lot more. It boasts a booming local tech industry. You will have ample internships and future employment prospects.
Expert Faculty
Our outstanding faculty-to-student ratio ensures you receive personalized learning and excellent faculty-student mentorships.
Cutting-edge Research Opportunities
You will engage in cutting-edge research opportunities with world-class faculty and state-of-the-art research labs. You'll gain hands-on experience as you explore the possibilities of Data Science in an ever growing field.
Extensive Alumni Network
Benefit from our active alumni network. You will connect with industry professionals and career opportunities.

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Careers & Outcomes

Our program prepares you for a successful career in data science. We partner with key companies like:
  • Boeing
  • Volvo
  • Booz Allen Hamilton
  • Mercedes-Benz Vans
We provide unique research and industry connections. Some of our notable alumni include John Smith, Data Scientist at Google, who says, "The program at College of Charleston shaped my career and opened doors to exciting opportunities." Join our program to unlock your potential and embark on a rewarding data science career.

“My professor was able to monitor the development of my skills and help me progress, and that’s something that you don’t get in a lot of programs – that kind of personal relationship between students and professors, which you can’t put a price on.”  - Cole Gulledge ‘20 

How to Apply 

The entire application process is online. The documents outlined below are required components of the application. A file is not complete until all documents have been submitted and processed, so read carefully and prepare your application materials in advance of applying.
  • Dates & Deadlines

    Priority Deadline: January 15  

    Final Deadline: July 1 

  • Application Process

    Applying to our program is straightforward. Follow these steps to ensure an effective application:
     
    1. Complete the online application form on our website.
    2. Submit official transcripts from any regionally accredited college or university.
    3. Demonstrate competency in statistics, linear algebra, calculus, and computer programming. For computer programming, showcase your proficiency in the Statement of Purpose letter.
    4. Fulfill any additional application requirements outlined on our website.

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  • Admission Criteria

    To be admitted into the program, you need to meet the following criteria: 

    • Diverse academic background acceptance 
    • Competency in statistics, linear algebra, calculus, and computer programming 
    • Prerequisite areas covered by coursework with a grade of B or higher 
    • Additional program-specific requirements as detailed on our website