

M.S. in Data Analytics for Science
- Private University
Mellon College of Science
M.S. in Data Analytics for Science at Carnegie Mellon University Overview
The M.S. in Data Analytics for Science offered at Carnegie Mellon University is a PG level program, known for being one of the top-ranked courses both at the university and nationwide. Students interested in applying, can complete the program within 1 year.
International students applying to Carnegie Mellon University for the M.S. in Data Analytics for Science must submit the required documents as per the department’s guidelines. This includes proof of qualifications along with test scores from exams such as Duolingo, IELTS and TOEFL. Since seats for the program are limited, it's advisable to apply well before the deadlines.
The tuition fee for first-year international students pursuing this course at Carnegie Mellon University is USD 50,000,.
Duration | 1 year |
Tuition & Fees | ₹44.37 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Entry Requirements
- Rankings
- Highlights
- Scholarships
M.S. in Data Analytics for Science at Carnegie Mellon University Fees
The first-year tuition fees that students are required to pay as per the Carnegie Mellon University M.S. in Data Analytics for Science fee structure. The total costs may vary based on the expenses of the student and the lifestyle being followed by them. Some additional fees may also be charged by the Carnegie Mellon University during the course duration. The complete fee breakdown of the M.S. in Data Analytics for Science is around USD 50,000 which is shown in the table below.
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 44,36,500 |
Fees components | Amount (for 1 year) |
---|---|
Insurance | INR 2,62,996 |
Books & Supplies | INR 1,96,271 |
Download exam sample paper
M.S. in Data Analytics for Science at Carnegie Mellon University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- You 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.
- Prerequisiteis :
-
completed an undergraduate degree in biology, chemistry, mathematics, physics or a related science-based major/minor.
-
Further, students are expected to have:
- Completed an introductory Python programming course or be able to show through personal/professional experience an equivalent level of knowledge.
- Completed an introductory linear algebra course at the undergraduate level.
-

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- 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

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Marks - 7.5/9
- Marks - 120/160
- Yes
- The Universities' Heinz College occasionally admit students to the program with condition(s) placed on their enrollment. A condition will be clearly stated within the admission offer letter.
M.S. in Data Analytics for Science at Carnegie Mellon University Rankings
Rank | Rank Publisher |
---|---|
#4 | |
#6 | |
#12 |
Carnegie Mellon UniversityStudents Ratings & Reviews
- Multi-dimensional
- Friendly
- Academically oriented
- Fun loving
- 27% students never faced discrimination in this university
M.S. in Data Analytics for Science at Carnegie Mellon University Highlights
- 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.
M.S. in Data Analytics for Science at Carnegie Mellon University Important Dates
M.S. in Data Analytics for Science at Carnegie Mellon University Scholarships
Resources for you
Learn the process in simple steps with these guides handpicked for youExplore courses offered by Carnegie Mellon University
Other Courses offered by Carnegie Mellon University
About the author
M.S. in Data Analytics for Science at Carnegie Mellon University Popular & recent articles




M.S. in Data Analytics for Science at Carnegie Mellon University Contact Information
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)