Master of Science in Data Science
at Virginia Tech, Blacksburg

4.1 /5

(14 Reviews)

Shiksha popularity ranking

#33 in MS in USA

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Master of Science in Data Science
at
Virginia Tech
Overview

The 2 years Degree course has primary stream as IT & Software. The Virginia Tech tuition fees for international students is USD 36212.0. The Degree course offered by the at Virginia Tech requires IELTS and TOEFL.

Duration	2 years
Tuition & Fees	₹32.11 Lakh Get Fees details
International Students Admission Website	Go to Website
Official Career Service Website	Go to Website
Course Level	PG Degree

Master of Science in Data Science

Table of contents

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

Master of Science in Data Science
at
Virginia Tech
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 32,10,918

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 11,81,971
Transportation	INR 2,67,251

Calculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 10ᵗʰ November 2025

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Master of Science in Data Science
at
Virginia Tech
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

No specific cutoff mentioned
Students must hold a bachelor's degree from an accredited college or university with a GPA of 3 or higher on a 4 scale for the equivalent of the last two years of undergraduate study.

The recommended prerequisites are:

two semesters of calculus;

one semester of linear algebra;

two semesters of statistics;

and one semester of computer programming.
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GPA

Percentage

CGPA

TOEFL

Marks - 90/120
scores of 20 or greater in Listening, Writing, Speaking, and Reading subsections are required.

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GPA

Percentage

CGPA

IELTS

Marks - 6.5/9

GRE

N/A
OPTIONAL at applicant’s discretion.

Conditional Offer Lock Icon

Not mentioned

Which exams out of the above do I need to give?

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Master of Science in Data Science
at
Virginia Tech
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#9	Civil Engineering PG US News & World Report, 2025
#84	Engineering THE (Times Higher Education), 2025
#108	Mechanical Aeronautical and Manufacturing Engineering QS, 2025

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Virginia Tech
Students Ratings & Reviews

4.1/5

14 Verified Reviews Info Icon

Student Views (Based on Reviews)

43% students never faced discrimination in this university

Vibe of Campus

Friendly

Academically oriented

Multi-dimensional

Fun loving

Internships3.8

Part time work4.2

Post study jobs4.1

Quality of faculty4.5

Student Life4.5

Value for money3.9

Public transportation4.6

Safety4.4

Indian Food3.3

Permanent Immigration3.3

Akhil Anand Verified Icon

MS in Environmental Engineering - Batch of 2023

Offered by Virginia Tech

4.1

The university helps you to grow and be independent.

Tips: I did experience a cultural shift in a good way. The people here are more open and friendly and there is a lot of mutual respect one holds for others including strangers. On the same token, the environment is a lot more competitive and lonelier so that can be tricky to navigate.

Total Monthly ExpenseUSD 4250

Prepping time for classes30 hours/Week

Expected Annual SalaryUSD 82900

Reviewed on 31 Jul 2024Read more

Aahana Sharma Verified Icon

MS in Chemical Engineering - Batch of 2024

Offered by Virginia Tech

3.8

It was a fulfilling and enlightening experience.

Tips: Students should enjoy their time here and try to avoid getting too stressed as the academic pressure can be intense. Keep a healthy work life balance. Talk to your professors and keep up your classroom engagement as these points can matter. The faculty is very helpful and understanding and will provide you with every insight required to succeed in your career.

Total Monthly ExpenseUSD 4250

Prepping time for classes30 hours/Week

Expected Annual SalaryUSD 92925

Reviewed on 31 Jul 2024Read more

Anonymous

MS in Statistics - Batch of 2025

Offered by Virginia Tech

4.2

It is one of a kind experience worth reminiscing about.

Tips: Students should take advantage of their time here by collaborating on projects, going to the career fair and engaging with their peer group as the Virginia Tech experience is also essential to build yourself for the workforce. It would be wise to come with a scholarship that too for one of the programs that is ranked highly among the university.

Total Monthly ExpenseUSD 4200

Prepping time for classes29 hours/Week

Expected Annual SalaryUSD

Reviewed on 10 Jul 2024Read more

Anonymous

B.Sc in Business Information Technology - Batch of 2027

Offered by Virginia Tech

4.2

It has been above my expectations and you get to expect great student life at VT.

Tips: I initially used to think that Virginia Teach would be a very academic environment with less time for anything else but here you are encouraged to explore your interests outside of the classroom be it sports, volunteer ship or a hobby, you can really make the best out of everything that campus has to offer while getting a good quality education.

Total Monthly ExpenseUSD 5150

Prepping time for classes29 hours/Week

Expected Annual SalaryUSD 87525

Reviewed on 10 Jul 2024Read more

Ishanvi

Bachelor of Science in Business - Finance - Batch of 2027

Offered by Virginia Tech

4.2

A great ideal mix of academic and extra curricular activities.

Tips: I have been having a pretty good time so far at Virginia Tech as the campus is a truly lively and inclusive place. Try to stand out in classes as that will benefit you in the long run especially as you can take advantage of the numerous research opportunities present. The faculty is great and understanding so don't hesitate to ask any questions.

Total Monthly ExpenseUSD 4900

Prepping time for classes29 hours/Week

Expected Annual SalaryUSD 77500

Reviewed on 10 Jul 2024Read more

View All 14 Reviews

Master of Science in Data Science
at
Virginia Tech
Highlights

Master of Science in Data Science is a non-thesis degree that combines rigorous technical training with real-world projects, preparing graduates to navigate organizational complexities and translate data into action and value.