
M.S in Data Science
Harvard University
Cambridge, Massachusetts
Duration
1 Year 6 Months
Degree Type
M.S in Data Science Degree/Engineering
Test Scores
IELTS 7, TOEFL 104, GRE 160
Annual Fees
INR
About the Course
M.S in Data Science is an excellent choice for those seeking comprehensive learning in the field. Harvard University consistently ranks among the top global universities offering degree in M.S in Data Science. Its high graduate employability rate makes it a preferred choice for international students.
Harvard University provides exceptional educational quality, hands-on practical learning, and abundant work opportunities to its international student community.
With an interactive curriculum, abundant research prospects, and outstanding teaching faculty Harvard University offers students a transformative learning journey. This degree equips students to become innovative and independent. Overall, pursuing a degree in

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Details of the Course
Why study M.S in Data Science at Harvard University ?
- Top Choice for International Students: Renowned as the preferred destination for students worldwide.
- Immersive Hands-On Learning: Delivers rich practical experiences, ensuring comprehensive skill development.
- State-of-the-Art Learning Environment: Experience education in cutting-edge classrooms guided by seasoned educators.
- Tailored Internship and Work Opportunities: Customized post-course internships and work placements designed to equip students for real-world challenges.
Cost of the Course
3760000 INR Approx

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Admissions
Application Fee: USD $85
Note: A supplementary application fee may be assessed depending upon the program to which you are applying.

Requirements
Test Scores:
Language Profeciency Tests
- IELTS - minimum 7/9
- TOEFL (ibt) - minimum 104/120
- GRE - minimum 160
- Online Application
- Application Fee
- Academic Transcript
- English Language Proficiency
- Standardised Test (Optional)
- Valid Passport
- Statement of Purpose
- Letter of Recommendation
- CV/Resume
Frequently Asked Questions (FAQs)




