Overview
Why Data Science at Michigan State University?Michigan State University’s Master of Science in Data Science (MSDS) programme is recognised for its excellence, ranking 3rd overall for Data Science programmes by Fortune in 2025. This prestigious ranking highlights the programme's commitment to providing a robust education that meets the needs of a rapidly evolving industry. The MSDS is a collaborative effort among the College of Engineering and the College of Natural Science, integrating expertise from the Departments of Computational Mathematics, Science, and Engineering (CMSE), Computer Science and Engineering (CSE), and Statistics and Probability (STT). This interdisciplinary approach ensures that students receive a comprehensive education that encompasses various aspects of data science. The MSDS programme is officially sanctioned by Michigan State University and has received approval from the State of Michigan, underscoring its credibility and the quality of education provided. The programme is designed to prepare students for the demands of the modern workplace, focusing on data-driven decision-making and the extraction of actionable insights from data.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science programme are as follows:
- International Students: USD 39,000 per full programme
- National Students: USD 39,000 per full programme
- Local Students: USD 39,000 per full programme
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe MSDS programme offers a comprehensive curriculum designed to equip students with the necessary skills and knowledge in data science. The syllabus includes modules that cover:
- Fundamentals of Data Science
- Statistical Methods for Data Analysis
- Computational Techniques in Data Science
- Data Mining and Machine Learning
- Data Visualisation
- Big Data Technologies
- Capstone Project
This structured approach ensures that students not only learn how to apply existing methods but also understand the underlying principles, enabling them to innovate and adapt in various industry contexts.
Industry DemandThe demand for skilled data scientists continues to grow across numerous sectors, including finance, healthcare, technology, and more. The MSDS programme is tailored to meet this demand by providing students with the tools and knowledge required to excel in these competitive fields.
Guaranteed Work ExperienceThe programme does not explicitly state that work experience is guaranteed. However, students are encouraged to engage in practical applications of their learning through projects and collaborations.
Careers with Data ScienceGraduates of the MSDS programme can pursue a variety of career paths in data science. Alumni have found positions in leading companies and organisations, working in roles such as Data Analyst, Data Scientist, Machine Learning Engineer, and Statistician. The skills acquired through the programme prepare students for impactful careers in sectors that rely heavily on data analysis and interpretation.
Programme Structure
Courses include:
- Foundations of Data Science
- Computational Optimization
- Big Data Analysis
- Data Mining
- Mathematical Statistics for Data Scientists
- Applied Statistical Modeling for Data Scientists
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- East Lansing, United States
Disciplines
Data Science & Big Data View 466 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Have a four-year bachelor’s degree in a relevant quantitative discipline.
- Demonstrate sufficient quantitative preparation through work or other relevant experiences.
- Completion of a 3-credit capstone course involving an applied, industrial, or governmental data science project. Students may complete this requirement by enrollment in Computer Science and Engineering 890, Computational Mathematics, Science, and Engineering 890, or Statistics and Probability 890. The student’s topic area must be approved by the student’s guidance committee.
- Completion of a final examination or evaluation.
Tuition Fees
-
International Applies to you
Applies to youNon-residents39000 USD / year≈ 39000 USD / year - Out-of-State39000 USD / year≈ 39000 USD / year
-
Domestic
Applies to youIn-State39000 USD / year≈ 39000 USD / year
Living costs
East Lansing
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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