Overview
Why Data Science at the University of Minnesota?The University of Minnesota is renowned for its excellence in research and education, particularly in the field of data science. The programme is designed to integrate a strong theoretical foundation with practical applications, ensuring that graduates are well-prepared for the demands of the industry. The university boasts state-of-the-art facilities and a collaborative environment that encourages innovation and learning. Students benefit from partnerships with leading companies, providing valuable networking opportunities and insights into industry trends.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science are structured as follows:
- International Students: USD 14,790 per semester
- Domestic Students: USD 14,790 per semester
- Local Students: USD 9,558 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. in Data Science encompasses a diverse curriculum designed to equip students with essential skills in various focus areas. The programme includes:
- Statistics
- Algorithmics
- Infrastructure and Large Scale Computing
- Elective courses tailored to individual interests
Students will engage in hands-on learning experiences, culminating in a capstone project that showcases their mastery of data science principles.
Guaranteed Work ExperienceThe programme includes a capstone project that allows students to apply their knowledge in real-world scenarios, ensuring they gain practical experience that is highly valued by employers.
Careers with Data ScienceGraduates of the M.Sc. in Data Science can pursue various career paths in sectors such as technology, healthcare, finance, and government. Alumni have successfully found positions in leading companies, leveraging their skills in data analysis, machine learning, and big data technologies. Job roles may include Data Scientist, Data Analyst, and Machine Learning Engineer, among others, reflecting the programme's emphasis on preparing students for high-demand positions in the evolving job market.
Programme Structure
Courses include:
- Theory of Statistics
- Applied Regression Analysis
- Machine Learning
- Distributed Systems
- Data Mining
- Parallel Computing: Architectures, Algorithms, and Programming
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Minneapolis, United States
Disciplines
Data Science & Big Data View 467 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A four-year bachelor's degree from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field. Three-year programs are not considered for admission
- A minimum GPA of 3.5 (or the equivalent in other grading scales)
- Personal statement/statement of purpose
- Curriculum Vitae (CV)
- Three Letters of Recommendation
- Transcripts
- Extenuating circumstances statement
- Writing sample
- Description of research
- Diversity statement (strongly encouraged)
- GRE scores are not required, but are recommended particularly for those applying from international institutions for the MS degree
- English language proficiency
Tuition Fees
-
International Applies to you
Applies to youNon-residents33552 USD / year≈ 33552 USD / year - Out-of-State33552 USD / year≈ 33552 USD / year
-
Domestic
Applies to youIn-State21264 USD / year≈ 21264 USD / year
Living costs
Minneapolis
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility