

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
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 |
M.S. in Data Analytics for Science at Carnegie Mellon University Fees
For attending the Carnegie Mellon University for M.S. in Data Analytics for Science, students have to pay the tuition fee as well as the living expenses. The Carnegie Mellon University M.S. in Data Analytics for Science fee structure varies for domestic and international students.
Foreign students will have to pay USD 50,000 for the first-year of study.
Refer to the table below for the breakdown of expenses for the Carnegie Mellon University M.S. in Data Analytics for Science cost of attendance:
| 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 |
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M.S. in Data Analytics for Science at Carnegie Mellon University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Students must have following
- Four year UG degree from an accredited college or university in the U.S. or an equivalent degree from a foreign country before the program starts
- UG degree in Biology, Chemistry, math, physics or a science related based major/minor
- 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 UG level

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Out of 10
- Marks - 102/120
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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
- 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
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M.S. in Data Analytics for Science at Carnegie Mellon University Contact Information
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)

