12 months
647 USD/credit
336 USD/credit
Tuition fee
Apply date
Start date


 The Data Science program at South Dakota State University  prepares students to use the power of data to help organizations of all sorts and society as a whole to make better decisions. 

Visit the official programme website for more information


 The SDSU M.S. in Data Science is a one-year program that provides graduates with the statistical, mathematical, and computational skills needed to meet the large-scale data science challenges of today's professional world.

This  Data Science program at  South Dakota State University  will be a good fit if you:

  • Are an analytical, logical thinker
  • Are curious and enjoy solving problems
  • Enjoy an intellectual challenge
  • Want your work to make a difference
  • Want to be valuable to a wide range of potential employers

Career Opportunities

  • Data scientist
  • Predictive analyst
  • Statistician
  • Financial/business analyst
  • Risk analyst
  • Credit analyst
  • Supply chain analyst
  • Actuary

Programme Structure

Courses include: 

  • Data Warehousing and Data Mining 
  • Programming for Data Analytics 
  • Big Data Analytics 
  • Statistical Programming 
  •  Modern Applied Statistics 

Key information


  • Full-time
    • 12 months

Start dates & application deadlines

More details

International students need to start this program by taking online classes outside the US during the Summer semester. They can then study on campus starting in the Fall semester.




30 alternative credits


On Campus, Blended

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).

Other requirements

General requirements

Applicants for graduate study for the M.S. in Data Science must have:

  • Baccalaureate degree from an institution of higher education with full regional accreditation for that degree.
  • The applicant must have an undergraduate grade point average of at least 3.0 on 4.0 scale.
  • Transcript should show completion of courses in key areas equivalent to:
    • Database design/programming including familiarity with SQL 
    • Understanding of the principles of programming 
    • Understanding of statistical principles 
  • Undergraduate preparatory courses required of entering students include two semesters of calculus, one course in matrix or linear algebra, one introductory course in calculus-based probability and statistics. 

Tuition Fee

  • International

    647 USD/credit
    Tuition Fee
    Based on the original amount of 647 USD per credit and a duration of 12 months.
  • National

    336 USD/credit
    Tuition Fee
    Based on the original amount of 336 USD per credit and a duration of 12 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science
South Dakota State University