MS in Data Science
- Public University
Department of Mathematics and Statistics
Talk to ExpertMS in Data Science at SD state Overview
International students can pursue MS in Data Science at PG level at South Dakota State University. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL, PTE and Duolingo to be eligible for the course. The South Dakota State University tuition fee for international students for MS in Data Science is around USD 20,190 (INR 1,938,038) for first-year. Students must manage additional costs such as:
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 1 year Get Curriculum |
Tuition & Fees | ₹19.33 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Science at SD state Fees
For attending the South Dakota State University for MS in Data Science, students have to pay the tuition fee as well as the living expenses. The South Dakota State University MS in Data Science fee structure varies for domestic and international students.
Foreign students will have to pay USD 20,190 (INR 1,938,038) for the first-year of study. Other than the annual tuition fee, they will also have to cover the living expenses (includes housing, food, transportation, books and supplies, and other miscellaneous expenses), which is around USD 8,884 (INR 852,775) for overseas students. Based on the student’s lifestyle and purchasing power, the cost of living varies.
Refer to the table below for the breakdown of expenses for the South Dakota State University MS in Data Science cost of attendance:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 19,33,200 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,50,646 |
| Insurance | INR 95,367 |
Calculated at the exchange rate of 1 USD = INR 95.75036 | Tuition & expenses were last updated on 26ᵗʰ May 2025MS in Data Science at SD state Curriculum
For a more in-depth look at the Masters in Data Science program at South Dakota State University, click the green button below. The curriculum PDF provides a detailed information regarding several key points associated with the program including the total no. of subjects, electives available to students & some other course related content. A semester wise breakdown of the overall course structure is also included as part of the PDF.
Download exam sample paper
MS in Data Science at SD state Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
Applicants must meet the following requirements:
- Baccalaureate degree from an institution of higher education with full regional accreditation for that degree.
- An undergraduate grade point average of at least 3.0 on 4.0 scale.
-
Undergraduate preparatory courses requiring two semesters of calculus, one course in matrix or linear algebra, one introductory course in calculus-based probability and statistics. SDSU courses that would satisfy these requirements are:
- MATH 123 Calculus I
- MATH 125 Calculus II
- MATH 215 Matrix Algebra OR MATH 412 Linear Algebra
- STAT 381 Introduction to Probability and Statistics
- Transcript showing completion of courses in key areas equivalent to:
- Database design/programming (SAS, Python, or R) including familiarity with SQL (STAT 410-510 or STAT 415-515 or equivalent)
- Understanding of the principles of programming (CSC 150 or INFO 101 or equivalent)
- Understanding of statistical principles, including multivariate statistical analysis (STAT 441-541 or equivalent)
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 80/120
- TOEFL: Program requirement minimum score of 80 internet-based
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Marks - 6.5/9
- IELTS: Program requirement minimum score of 6.5
- Marks - 110/160
- Duolingo: Program requirement minimum score of 110
- Yes
- Read lessConditional admission may be granted if the applicant: meets the requirements for admission but has not completed the last semester of undergraduate study. Admission is conditional until the Bachelor’s degree is granted, OR lacks prerequisite undergraduate courses specified by the major program. Admission is conditional until these courses have been completed to the satisfaction of the program, OR has a grade point average between 2.75 and 3.0 cumulative for the junior and senior years
MS in Data Science at SD state Application Process
- Two letters of recommendation with at least one from an individual who can address the applicant’s technical knowledge background and ability to perform research
- A research statement or statement of interest area, and transcripts are required.
-
Submit a Professional Academic Transcript Evaluation. This is a mandatory requirement if applicants attended a university outside the United States
- Submit TOEFL, IELTS or Duolingo scores
-
Submit Financial Support Documents.
- Submit Proof of Immunity
- Submit All Program Required Documents
- Copy of passport
- Applicants can enroll in payment plan for monthly wise installments with $40 enrollment fee for each semester
MS in Data Science at SD state Rankings
| Rank | Rank Publisher |
|---|---|
| #133 | |
| #601 |
MS in Data Science at SD state Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes |
MS in Data Science at SD state Highlights
- 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
- Program provides graduates with the statistical, mathematical, and computational skills
- The programs focus is on application and interpretation of modern data analysis techniques of known value in today's professional world, both private and public sector
- Incorporates current techniques in statistics, operations research, predictive modeling, data mining and forecasting
- Provides knowledege to meet large-scale data science challenges of today's professional world
MS in Data Science at SD state Scholarships
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