M.S. in Data Science from Michigan Technological University 2025 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships.

M.S. in Data Science from Michigan Technological University 2025 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships.

Houghton, MichiganLocation
UniversitySchool type
Estd1885established year
7292enrollment
Public
7.8/10

Master of Science [M.S] (Data Science)

2 years
Full Time
On Campus

$20,140 /Yr

27 Students Applied
22 Students Admitted

Tuition Fees

Year1st Year Fees
Tuition Fees$20140

Other Expenses

HeadAvg Cost Per Year
Housing & Food$21741
Transportation$4260

Per Credit Tuition Fee: $1581


Important Dates

  • The Upcoming Application Deadline for Spring 2026 Intake is Tentative Based on Previous Years
EventApplication Date
Application Deadline For Spring 2026 Intake Aug 1, 2025

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3 Reviews Found

RA

The admission procedure was straightforward and there is no application fee to apply for any course. It is one of the top universities in Michigan, US. There are a lot of coursework and research options available. Moreover, it will not cost you as much as other State universities and also a great number of funding and scholarships are provided for national and international students.

academic: 7/10
faculty: 8/10
infrastructure: 8/10
accomodation: 9/10
placement: 9/10
extracurricular: 5/10

M.S. in Data Science from Michigan Technological University – Overview

The M.S. in Data Science from Michigan Technological University is a flexible, 2-year STEM-designated graduate program designed to develop advanced skills in data analysis, computational methods, and interdisciplinary problem-solving. Offered jointly through the College of Computing under the Department of Computer Science and the Department of Mathematical Sciences, the program provides a strong core in data science principles—covering topics such as data mining, predictive modeling, and information systems—while allowing students to customize their education through electives and domain-specific courses in areas like machine learning, business analytics, geospatial science, computational intelligence, and health informatics. Students may fulfill the degree requirements through coursework-only, project/report, or thesis-based tracks, depending on their career goals and academic interests. The program is ideal for individuals with a background in computer science, mathematics, statistics, or a related field. Applicants must demonstrate foundational competence in programming, statistics, and databases; those without sufficient preparation may be required to complete up to 6 credits of foundational coursework. GRE scores are not required but may be submitted to strengthen an application. Proof of English language proficiency (TOEFL, IELTS, or equivalent) is mandatory for non-native English speakers. Available scholarships for international students include the Graduate Teaching/Research Assistantship, International Ambassador Scholarship (MTU)​, and other external funding is also available.

M.S. in Data Science from Michigan Technological University – Fees

The annual cost of pursuing the M.S. in Data Science from Michigan Technological University is approximately $56794. This includes around $23715 in tuition fees and about $33079 in estimated living expenses, which cover housing, food, health insurance, books and supplies, transportation, personal expenses, international differential fee, and compulsory fees.

M.S. in Data Science from Michigan Technological University – Dates

Applications to the M.S. in Data Science from Michigan Technological University are accepted for Fall and Spring intakes only, with the deadline for Fall 2025 has passed. The Upcoming application deadline for the Spring 2026  intake is 1 August 2025.

M.S. in Data Science from Michigan Technological University – Modules

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

 Years

 Core Modules

 Optional Modules

Year 1

  • Introduction to Data Science

  • Information Systems Management and Data Analytics

  • Advanced Data Mining

  • Predictive Modeling

  • Machine Learning

  • Data Visualization

  • Regression Analysis

  • Bayesian Statistics

  • Programming Skills for Bioinformatics

  • Advanced Statistical Analysis and Design I

  • Artificial Intelligence in Healthcare

  • Scientific Computing

  • Management of Technology and Innovation

NOTE: Students who lack background in programming, databases, or statistics may also take foundational courses like Intro to Database Systems or Statistical Programming.

 Year 2 
  • Applied Computing:

    • Introduction to Health Informatics

    • Clinical Decision Support and AI Modeling

    • Big Data Analytics

    • Information Governance and Risk Management

    • Machine Learning in Security

  • Business and Economics:

    • Financial Statement Analysis and Valuation

    • Project Management

    • Marketing, Technology, and Society

    • Business Intelligence and Analytics

    • AI and Emerging Technologies for Business

    • Marketing Data Analytics

  • Computer Science:

    • Advanced Algorithms

    • Distributed Systems

    • Human-Computer Interactions and Usability Testing

    • Advanced Artificial Intelligence

    • Computational Intelligence

  • Environmental Science & GIS:

    • Data Analysis in R

    • Geographic Information Science and Spatial Analysis

    • Remote Sensing of the Environment

    • GIS Project Management

  • Mathematics:

    • Multivariate Statistical Methods

    • Statistical Genetics

    • Computational Statistics

    • Categorical Data Analysis

    • Numerical Optimization

  • Students can choose one of the following tracks:

    • Coursework-only

    • Project/Report-based

    • Thesis-based

  • Remaining Elective Courses (if one taken in Year 1, take one other in year 2.)


Eligibility & Entry Requirement

Requirement Type

 Details

School Name

 College of Computing

Academic Qualification

  • Degree Requirement: Applicants must hold a bachelor’s degree or equivalent from an accredited institution.
  • GPA Requirement: Minimum undergraduate GPA of 3.0 on a 4.0 scale.
  • Program Specific Requirements: Undergraduate coursework or equivalent background in:
    • Statistics / mathematics.
    • Introductory programming.
  • Prerequisites: Applicants must demonstrate foundational competence in:
    • Statistical and mathematical techniques.
    • Computer programming.
    • Information systems/databases.
    • Communication skills.
    • If you are lacking prerequisites may need to complete foundational coursework (up to 6 credits from 3000–4000 level)
  • GRE Requirement (not required): Recommended scores are 153 for Quantitative, 148 for Verbal, and 3.0 or higher for Analytical Writing.
  • Work Experience (optional): Not required, but industry or research experience in data analytics, software development, or related areas can strengthen your application.

English Language Requirement

  • TOEFL: Minimum score of 79 overall; recommended score of 100 iBT
  • IELTS: Minimum score of 6.5 overall, recommended overall band score of 7.0

Documents Required

  • Academic Transcripts and Certificates.
  • Proof of English Language Proficiency.
  • Statement of Purpose (SOP).
  • 2-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 $10

Graduate Enrollment Surcharge

$100: Once accepted, all international students must pay a non-refundable one-time enrollment charge.
 Course Credits

30 Credits


Scores Required

79 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

3 / 4

Minimum gpa

GPA

10

Application Fees

30

ECTS Credits

TOP Scholarships

Scholarship nameAward amountEligibility
Graduate Teaching/Research AssistantshipFull/partial tuition + monthly stipendStrong academic profile; selected by department/faculty after admission
International Ambassador Scholarship (MTU)~$2,000–$4,000/yearInternational students with strong merit; automatic consideration at MTU



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Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Ritchie-Jennings Memorial Scholarship ProgramScholarship per student$ 10,000/Yr$10,000Level Of StudyBachelorTypeMerit-Based
Business Administration ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
University of Utah ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
QS scholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
SWE ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
California State University Dominguez Hills Scholarships:Scholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific

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