M.S. in Business Analytics

M.S. in Business Analytics

University of South Dakota

Vermillion, South Dakota, USA
M.S. in Business Analytics
Duration1.5-2 Years
LevelMasters Program
  • In this program, students will learn how to implement solutions to business problems
  • The designed method focuses on leveraging the combined power of mathematical statistics, computing technology, and data analysis to construct business-databased predictions
  • Graduates are equipped to leverage data, statistics, and computing technology to derive insights that improve operational, tactical and strategic decisions
  • The degree will have twenty-seven required core credit hours for business baccalaureates
Fees componentsAmount
Tuition & fees1044549 INR
Hostel & Meals499497 INR
Other (books, insurance, etc.) 146480 INR
International Student Fee21972 INR
General Activity Fee 4028 INR
Total671977 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors3.0 GPA
  • Baccalaureate degrees must be from an institution with full regional accreditation with a STEM degree. A minimum undergraduate cumulative GPA of 2.7 on the conferred degree and/or graduate cumulative GPA of 3.0 or better, based on a 4.0 scale, on all graduate coursework is required
  • Satisfactory completion of an approved undergraduate or graduate statistics course and calculus course
ExamsTOEFL: 79

IELTS: 6

PTE: 53

GRE: Accepted

GMAT: Accepted

  • GMAT Waiver for Students with STEM Degrees (for M.S. in Business Analytics ONLY):

    1.) Students must have earned a STEM undergraduate or graduate degree from a U.S. or Canadian institution by the time they begin the M.S. in Business Analytics program; ? 
    AND? 
    2.) Students must meet undergraduate/graduate GPA requirements. ? 
    ??? A.) Cumulative GPA of at least 3.5 for undergraduate (or graduate if applicable); ? 
    ??? OR? 
    ??? B.) Major GPA of at least 3.0 for undergraduate students or program of study GPA of at least 3.0 for those holding graduate degrees. (Students must provide major courses.)
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