M.S. in Data Science and Analytics from Grand Valley State University 2025 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships.

Allendale, MichiganLocation
UniversitySchool type
Estd1960established year
25049enrollment
Public
Partner [3 Courses]
8.9/10

Master (Data Science and Analytics)

2 years
Full Time
On Campus

$14,868 /Yr

34 Students Applied
24 Students Admitted

Important Alert

  • Application Deadline For Winter 2026 Intake - Oct 15, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$14868

Other Expenses

HeadAvg Cost Per Year
Housing & Food$10420
Transportation$420

Per Credit Tuition Fee: $826


Important Dates

EventApplication Date
Application Deadline For Winter 2026 Intake Oct 15, 2025

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  • Find a community and lease an apartment if you know students who are coming in the same semester. Apple Ridge apartments are the most suitable for people who are going to use bus services to commute to the campuses. Most students from India live in this area. It is good to have a community of students.

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M.S. in Data Science and Analytics from Grand Valley State University – Overview

The M.S. in Data Science and Analytics from Grand Valley State University is a rigorous 2-year graduate program designed to equip students with cutting-edge skills in data management, statistical modeling, machine learning, and data-driven decision-making. Offered jointly through the School of Computing and Information Systems under the Padnos College of Engineering and Computing, the program combines core coursework in data engineering, data mining, information visualization, and advanced statistical analysis with a strong emphasis on professional practice through experiential learning. Students complete foundational courses in computer science and statistics, including multivariate data analysis and statistical modeling, while also engaging in applied electives and a professional science internship. The curriculum is further enriched with courses focused on ethics, research communication, and seminar-based learning to prepare students for leadership in both academic and industry settings. Admission requires a bachelor's degree with relevant coursework in programming (preferably Python) and statistics. Applicants must also meet minimum GRE or GMAT requirements if applying internationally or without a qualifying GPA. Proof of English proficiency via TOEFL, IELTS, or Duolingo is required for non-native English speakers. This program is ideal for recent graduates and professionals aiming to advance in fields such as data science, analytics, business intelligence, and artificial intelligence. Available scholarships for international students include the Graduate Assistantship (GA), International Merit Scholarship, Madeline Siehling Statistics Pathway Scholarship, Statistics Tuition Scholarship, Statistics Book Scholarship, Carl Erickson & Mary O’Neill Endowed Scholarship, Windstream Technology Scholarship (Masters)and other external funding is also available.

M.S. in Data Science and Analytics from Grand Valley State University – Fees

The annual cost of pursuing the M.S. in Data Science and Analytics from Grand Valley State University is approximately $30865. This includes around $14868 in tuition fees and about $15997 in estimated living expenses, which cover housing, food, health insurance, books and supplies, transportation, and miscellaneous expenses.

M.S. in Data Science and Analytics from Grand Valley State University – Dates

Applications to the M.S. in Data Science and Analytics from Grand Valley State University are accepted for Fall & Winter intakes only. The deadline for Fall 2025 has passed, and The Upcoming Application deadline for Winter 2026 Intake is 15 October 2025.

M.S. in Data Science and Analytics from Grand Valley State University – Modules

The M.S. in Data Science and Analytics follows the following module structure:

 Years

 Core Modules

 Optional Modules

Year 1

  • Knowledge Discovery and Data Mining

  • Data Engineering

  • Statistical Computing and Graphics with R

  • Multivariate Data Analysis

 NA
 Year 2 
  • Information Visualization

  • High-performance Computing or Machine Learning

  • Statistical Modeling I

  • Statistical Modeling II

  • Ethics and Professionalism in Applied Science

  • Seminar in Professional Science Practice

  • Internship

 Choose one Course from the Following or Discuss with the Program Director: 

  • Advanced machine learning

  • Database management systems

  • Big data technologies

  • Statistical programming

  • Specialized domain applications


Eligibility & Entry Requirement

Requirement Type

 Details

School Name

 School of Computing and Information Systems

Academic Qualification

  • Degree Requirement: Applicants must have a bachelor’s degree from an accredited institution U.S. or equivalent to an international qualification.
  • Education Background: A background in computer science or statistics is preferred.
  • Prerequisite Courses: Required if lacking a CS or stats background. Including Courses:
    • CIS 500: Fundamentals of Software Practice (or an equivalent college-level programming course, preferably Python-based).
    • STA 610: Applied Statistics for Health Professions (or an equivalent college-level probability & statistics course).
  • GPA Requirement: Minimum undergraduate GPA of 3.0 (on a 4.0 scale) or a satisfactory GRE or GMAT score.
  • GRE/GMAT Requirement: Required for admission.
 GRE/GMAT Score
  • GRE (Graduate Record Examination):
    • Verbal: 145.
    • Quantitative: 150.
    • Analytical Writing: 2.5.
  • GMAT (Graduate Management Admission Test):
    • Verbal: 23.
    • Quantitative: 28.
    • Analytical Writing: 2.5

English Language Requirement

  • TOEFL (iBT): Minimum Score of 90

  • IELTS: Minimum Score of 6.5

  • Duolingo English Test: Minimum Score of 115

Documents Required

  • Academic Transcripts and Certificates.
  • Proof of English Language Proficiency.
  • Statement of Purpose (SOP).
  • 3-Letter of Recommendation (LOR).
  • Proof of Work Experience (If Have).
  • Financial Documents (For Visa Purposes)
  • Copy of Passport.
  • Curriculum Vitae (CV).

Application Link

Application Link

Application Fee $30
 Course Credits  36 Credits

Scores Required

6.5 / 9

Avg. Score in

IELTS

90 / 120

Avg. Score in

TOEFL

115 / 160

Avg. Score in

Duolingo

3 / 4

Minimum gpa

GPA

30

Application Fees

36

ECTS Credits

TOP Scholarships

Scholarship nameAward amountEligibility
Graduate Assistantship (GA)Full tuition + stipendFull-time graduate students; academic merit & department availability
International Merit ScholarshipUp to $6,000/yearInternational graduate students with strong academic background
Madeline Siehling Statistics Pathway ScholarshipUp to $3,500Strong academic performance; preference for Statistics/Data Science students
Statistics Tuition Scholarship$500+Graduate students in Data Science/Statistics with good GPA
Statistics Book Scholarship$200Graduate statistics/data science students with academic excellence
Carl Erickson & Mary O’Neill Endowed ScholarshipVariesGraduate students in Computing programs with academic merit
Windstream Technology Scholarship (Masters)VariesGraduate students in College of Computing



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NameScholarship Per StudentLevel of StudyType
AAUW International FellowshipsScholarship per student$ 50,000/Yr$50,000Level Of StudyDoctorateTypeMerit-Based
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Forktip Women’s- Innovation ScholarshipScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
Gyandhan ScholarshipScholarship per student$ 1,207/Yr$1,207Level Of StudyMasterTypeMerit-Based
1st Formations Business ScholarshipScholarship per student$ 636/Yr$636Level Of StudyBachelorTypeMerit-Based

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