South Dakota State University Multiple locations Brookings , South Dakotaasdasds , United States
Overview
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
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Visit official programme websiteProgramme Structure
Courses include:
- Data Warehousing and Data Mining
- Programming for Data Analytics
- Big Data Analytics
- Statistical Programming
- Modern Applied Statistics
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Visit official programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- Starting
- Deadline passed, International
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- Starting
- Apply before , International
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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.
Language
English
Credits
30 alternative credits
Delivered
On Campus, Blended
Disciplines
Computer Sciences Data Science & Big Data View 783 other Masters in Computer Sciences in United StatesMore information
Visit official programme websiteEnglish 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. 90
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). 6
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.
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Visit official programme websiteTuition Fee
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International
647 USD/creditTuition FeeBased on the original amount of 647 USD per credit and a duration of 12 months. -
National
336 USD/creditTuition FeeBased on the original amount of 336 USD per credit and a duration of 12 months.
Funding
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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Visit official programme websiteMore information
Visit official programme websiteMore information
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