M.S. in Data Analytics for Science
4.0 /5
- Private University
Mellon College of Science
Talk to ExpertM.S. in Data Analytics for Science at Carnegie Mellon University Overview
M.S. in Data Analytics for Science
at Carnegie Mellon University
The Carnegie Mellon University is a popular destination among international PG students interested in starting M.S. in Data Analytics for Science from abroad. The program lasts for a duration of 1 year. The M.S. in Data Analytics for Science program is considered part of the top ranked courses in USA. Candidates interested in pursuing the course must meet the eligibility criteria & secure valid scores in exams such as IELTS, TOEFL, PTE and Duolingo. The interested students should fill the form as soon as possible because the application window opens for a short time only. The first year tuition fee for M.S. in Data Analytics for Science at Carnegie Mellon University is around USD 50,000 (INR 4,799,500). Students must also plan for some other additional costs over the duration of studies such as rent, groceries, books, health insurance, etc.
Duration | 1 year |
Tuition & Fees | ₹47.49 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
M.S. in Data Analytics for Science
Table of contents
M.S. in Data Analytics for Science at Carnegie Mellon University Fees
M.S. in Data Analytics for Science
at Carnegie Mellon University
Students are required to pay the first-year tuition fee as per the Carnegie Mellon University M.S. in Data Analytics for Science fee structure. In addition to tuition costs students should budget for
- housing
- food
- other utilities
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 47,48,537 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,81,493 |
| Books & Supplies | INR 2,10,075 |
Calculated at the exchange rate of 1 USD = INR 94.97075 | Tuition & expenses were last updated on 13ᵗʰ November 2025Download exam sample paper
TOEFL
TOEFL
PTE
IELTS
Duolingo
M.S. in Data Analytics for Science at Carnegie Mellon University Entry Requirements
M.S. in Data Analytics for Science
at Carnegie Mellon University
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- N/A
- Read lessApplicants must hold a four-year bachelor's degree from an accredited college or university in the U.S. or an equivalent degree from a foreign country prior to the start of the program. The program is designed for individuals with an undergraduate degree in biology, chemistry, mathematics, physics, or a related science-based major/minor, though a computer science or engineering background is not required.
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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 102/120
- Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
Sign-up to view details
Convert your CGPA to GPA
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 10
PTE
- No specific cutoff mentioned
IELTS
- Marks - 7.5/9
Duolingo
- Marks - 120/160
Sign-up to view details
M.S. in Data Analytics for Science at Carnegie Mellon University Rankings
M.S. in Data Analytics for Science
at Carnegie Mellon University
Course Ranking
University Ranking
| Rank | Rank Publisher |
|---|---|
| #4 | |
| #7 | |
| #19 |
Carnegie Mellon UniversityStudents Ratings & Reviews
4/5
49 Verified ReviewsStudent Views (Based on Reviews)
- 26% students never faced discrimination in this university
Vibe of Campus
Multi-dimensional
Friendly
Academically oriented
Liberal
Internships3.4
Part time work3
Post study jobs4.4
Quality of faculty4.7
Student Life4.6
Value for money3.5
Public transportation4.5
Safety4.4
Indian Food4.1
Permanent Immigration3
K
Karshni Mitra
Master of Information Systems Management: Business Intelligence & Data Analytics - Batch of 2023
3.8
Not easy, but memorable and totally worth it.
Tips: The transition was easy if you know what to expect and what not to. You'll do your own chores, cooking, cleaning, laundry, groceries etc. You'll do your own furniture assembly, moving and all that difficult stuff, just like everyone else here. But what you'll gain is experience, friends and learn how to survive on your own. It's all a part of the process of becoming adjusted to life in the US. Good experiences.
Likes (Public transportation): College includes public transport in the fees. Buses, trains, etc. in Pittsburgh, are already included and the connectivity across the city via buses is very convenient. The buses run till late hours in the night, and CMU provides shuttle and campus escorts late into the night when buses are not available.
Dislikes (Permanent Immigration): Chances of permanent immigration/settlement is low since the H1b / Eb2 route has a lot of people from my country, causing extremely high wait times. You can be optimistic, but if things don't work out, have a backup in mind. The US allows you in for study/work realistically, that's all you should expect to be on a visa. If something works out otherwise, I'd call it an optimistic scenario using other routes, not the ground truth.
Total Monthly ExpenseUSD 1200
Prepping time for classes40 hours/Week
Expected Annual SalaryUSD 105000
A
Anonymous
MS in Civil and Environmental Engineering/MBA (Porto Business School) - Batch of 2026
3.9
Welcoming and open environment.
Tips: There were no major culture shocks apart from the fact that people are more direct in their approach and socialising is more than just an expectation. The culture is very academic and it can get competitive at times. Case studies and presentations are the norm, so you'll have to learn how to be a team player and work with people. There is ongoing support that doesn't subside after the first few days.
Total Monthly ExpenseUSD 1700
Prepping time for classes31 hours/Week
Expected Annual SalaryUSD 104500
V
Vaishnavi Sreenivasa
Master of Information System Management - Batch of 2026
4.1
All around academic excellence.
Tips: After moving here, I have not experienced any cultural shift, mostly because I think nobody moving after working for a few years and is from a metro city back in India, the lifestyle remains pretty much the same and there are just some more social rules and regulations to keep in mind that probably take a few days to get used to. I was fortunate enough to get 15% scholarship based on my academic excellence and profile. It gets deducted every semester. I am very satisfied with the course and the university. The institution offers excellent academic rigour with outstanding professors and really well designed courses.
Likes (Public transportation): College students have free public transport and this saves a lot of money as a student. There are plenty of options for public buses from the university to travel anywhere you want in the city. The university itself offers shuttle services for students including late night shuttles for those staying back in college post 10 pm.
Dislikes (Permanent Immigration): Chances of me settling in that country are below average because of visa issues and constant changes being introduced for the visa. I value flexibility with respect to travelling and going back to my home in India and because there is so much uncertainty around the visa.
Total Monthly ExpenseUSD 1575
Prepping time for classes24 hours/Week
Expected Annual SalaryUSD 110800
A
Anonymous
Master of Computational Data Science (Human-Centered Data Science Concentration) - Batch of 2027
3.8
Great to polish yourself academically.
Tips: Studying here will surely be intense. You will have a heavy work load and you will also feel like you're falling behind. Remember that the process is the same for everyone and there are some helpful campus resources you can always take advantage of. I enjoy classroom discussions and the brand value of studying here is unmatched. Labs are well equipped as well and professors have been very helpful.
Total Monthly ExpenseUSD 1800
Prepping time for classes32 hours/Week
Expected Annual SalaryUSD 101400
K
Kaamya
Master in Biomedical Engineering and Engineering & Technology Innovation Management - Batch of 2027
3.6
Brought out my potential.
Tips: I would say that I underestimated the workload here and after a semester or so I realised the true intensity of studying. You're also surrounded by some of the smartest and intellectually curious individuals, which certainly helps in broadening your way of thinking. Out of classroom exposure is emphasised as much as within the classrooms so make sure you get a chance to experience it all.
Total Monthly ExpenseUSD 1500
Prepping time for classes33 hours/Week
Expected Annual SalaryUSD 89075
View All 54 Reviews
M.S. in Data Analytics for Science at Carnegie Mellon University Highlights
M.S. in Data Analytics for Science
at Carnegie Mellon University
- The MS-DAS program is designed initially as a one-year program. Students will commence the program in the fall and take a rigorous set of courses through the spring in applied linear algebra, programming, machine learning, statistical methods and neural networks that will equip them with the necessary data analytics techniques to solve modern scientific problems
- Courses will be offered through the Mellon College of Science, Department of Statistics and the Pittsburgh Supercomputing Center, a world leader in high-performance computing and data analytics.
- The program culminates in a semester-long capstone project in collaboration with industry partners providing students with a concrete understanding of how to impact scientific discovery through applied data analytics skills
- To ensure students are prepared for a data science career, a required 6-week mini course on communications and professional development will be completed in the Spring semester.
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M.S. in Data Analytics for Science at Carnegie Mellon University Important Dates
M.S. in Data Analytics for Science
at Carnegie Mellon University
Aug , 2026
Course Commencement Date
M.S. in Data Analytics for Science at Carnegie Mellon University Scholarships
M.S. in Data Analytics for Science
at Carnegie Mellon University
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
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M.S. in Data Analytics for Science at Carnegie Mellon University Contact Information
M.S. in Data Analytics for Science
at Carnegie Mellon University
Address
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)
Phone
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