

Masters of Science in Data Science
- Public University
College of Engineering
Masters of Science in Data Science at University of Michigan Overview
One of the most famous programs at University of Michigan is Masters of Science in Data Science at PG course with the duration of 18 to 24 months. Indian students applying for Masters of Science in Data Science program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS, TOEFL and PTE. Indian students must apply as soon as possible, as the seats are limited. University of Michigan tuition fee for first-year is USD 57,444 (INR 5,514,050). Furthermore, students must prepare themselves for crucial living cost, accommodation, hosted fee, book and more. The cost of living at University of Michigan is USD 13,426 (INR 1,288,762).
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹54.66 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Masters of Science in Data Science at University of Michigan Fees
To get admission in Masters of Science in Data Science at University of Michigan students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is USD 57,444 (INR 5,514,050). In addition to these students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 54,66,415 |
| Application Fee | INR 8,564 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 12,77,628 |
| Insurance | INR 2,84,245 |
Masters of Science in Data Science at University of Michigan Curriculum
Applicants can click on the green button below to download and check out the University of Michigan Masters of Science in Data Science curriculum. The curriculum PDF includes detailed information about the course such as requirements, concurrent program options, tuition fees, deadlines, career opportunities, etc.
Download exam sample paper
Masters of Science in Data Science at University of Michigan Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Students are expected to have a degree in data science, computer science, information, engineering, physics, statistics or mathematics
- Data Science undergraduate major is not required, it is expected that applicants will have at least the following background before they join:-
- 2 semesters of college calculus
- 1 semester of linear or matrix algebra
- 1 introduction to computing course
- India specific requirement
- Applicants must have a completion of a university four-year bachelors degree in Engineering, Technology, or Medicine or any other field

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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- With 23 in listening and reading, and 21 in writing
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- No specific cutoff mentioned
- Marks - 6.5/9
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Masters of Science in Data Science at University of Michigan Rankings
| Rank | Rank Publisher |
|---|---|
| #4 | |
| #13 | |
| #22 |
University of MichiganStudents Ratings & Reviews
- 33% students never faced discrimination in this university
Masters of Science in Data Science at University of Michigan Highlights
- Master of Science in Data Science is offered by Michigan Engineering under the University of Michigan, USA
- With the MS in Data Science all students will be able to:
identify relevant datasets
apply the appropriate statistical and computational tools to the dataset to answer questions posed by individuals, organizations or governmental agencies
design and evaluate analytical procedures appropriate to the data
implement these efficiently over large heterogeneous data sets in a multi-computer environment - Data Science is often viewed as the confluence of (1) Computer and Information Sciences (2) Statistical Sciences, and (3) Domain Expertise
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