B.S. in Statistics and Data Science
- Private University
Talk to ExpertB.S. in Statistics and Data Science at RMU Overview
B.S. in Statistics and Data Science
at RMU
The 4 years Degree course has primary stream as Science. The RMU tuition fees for international students is USD 34360.0. The Degree course offered by the at RMU requires IELTS, TOEFL, Duolingo, and PTE.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website  |
Tuition & Fees | ₹29.76 Lakh View full breakup |
English proficiency exam waiver applicable | Yes |
Type of University | Private |
Official Career Service Website | Go to Website |
B.S. in Statistics and Data Science at RMU Fees
B.S. in Statistics and Data Science
at RMU
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 29,76,263 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 11,34,722 |
| Insurance | INR 2,06,502 |
| Transportation | INR 1,36,167 |
| University services fee | INR 96,148 |
| International Student Fee | INR 51,972 |
| Orientation fee | INR 34,648 |
| Student Government Association fee | INR 3,465 |
| Student Recreation Fee | INR 21,655 |
| Books | INR 86,620 |
| Miscellaneous | INR 2,59,860 |
| Administrative fee | INR 8,662 |
| Total approximate fees | INR 20,40,421 |
Calculated at the exchange rate of 1 USD = INR 86.62 | Tuition & expenses were last updated on 23ʳᵈ December 2024B.S. in Statistics and Data Science at RMU Entry Requirements
B.S. in Statistics and Data Science
at RMU
Requirements for 10th grade
- No specific cutoff mentioned
Requirements for 12th grade
- CGPA - 3.3/4
- Read less
- Applicant must have complete high school with 3.3 GPA
- A strong background in all areas of pre-calculus mathematics and any programming/database courses provides an excellent basis for university work
- Students also should have an interest in developing management and communications skills
- Students are required to take courses in general mathematics, statistics, database management, business, finance, programming, science, and communications
Convert your Percentage to GPA
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GPA
Percentage
CGPA
%
TOEFL
- Marks - 70/120
-
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Convert your Percentage to GPA
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
%
PTE
- Marks - 48/90
- NA
IELTS
- Marks - 6/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
Duolingo
- Marks - 95/160
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
Conditional Offer
- Not mentioned
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B.S. in Statistics and Data Science at RMU Rankings
B.S. in Statistics and Data Science
at RMU
B.S. in Statistics and Data Science at RMU Highlights
B.S. in Statistics and Data Science
at RMU
- Students in the major are given the tools to not only efficiently extract and process large quantities of data but also to perform sophisticated statistical analysis
- The RMU statistics and predictive analytics provides students with the ability to analyze large sets of data in a useful way to make predictions and assist in the decision making process
- The degree is closely related to RMU’s widely acclaimed actuarial science program with a variety of common courses
B.S. in Statistics and Data Science at RMU Important Dates
B.S. in Statistics and Data Science
at RMU
Aug , 2025
Course Commencement Date (Fall)
B.S. in Statistics and Data Science at RMU Scholarships
B.S. in Statistics and Data Science
at RMU
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
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B.S. in Statistics and Data Science at RMU Contact Information
B.S. in Statistics and Data Science
at RMU
Address
6001 University Blvd, Moon Twp, PA 15108, USA
Pittsburgh ( Pennsylvania)
Phone
1-800-762-0097
(For general query)
412-397-5200
(For admission query)
Email
Go to College Website ->