MS in Data Science
at Lehigh University, Bethlehem

4.2 /5

(3 Reviews)

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#96 in MS in USA

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MS in Data Science
at
Lehigh University
Overview

Lehigh University offers a 11 months long MS in Data Science course. The tuition fees to pursue this program is USD 49800.0. English language proficiency test accepted for admission to Lehigh University MS in Data Science are IELTS, TOEFL, and Duolingo. Graduation cutoff for admission is CGPA - 3.0/4.

Duration	11 months
Tuition & Fees	₹44.16 Lakh Get Fees details
International Students Admission Website	Go to Website
Official Career Service Website	Go to Website
Course Level	PG Degree

MS in Data Science

Table of contents

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

MS in Data Science
at
Lehigh University
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 44,15,766

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 13,95,666
Insurance	INR 2,43,399

Calculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 11ᵗʰ November 2025

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MS in Data Science
at
Lehigh University
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

CGPA - 3/4
Applicants must have a UG Degree with GPA of 3 out of 4 and Applicants must have a educational Background of the following are two semesters of calculus

One course in probability other than that statistics one course in linear algebra and one introductory programming course
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GPA

Percentage

CGPA

TOEFL

Marks - 79/120
A omposite minimum 79 With subscores of 20 in Reading , 15 in Listening , 20 in Speaking and 20 in Writing

Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
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GPA

Percentage

CGPA

IELTS

Marks - 6.5/9
With subscores of 6.5 in Reading , 6.0 in Listening , 6.5 in Speaking and 6.0 in Writing

Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
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GRE

No specific cutoff mentioned
GRE exam is Optional

Duolingo

Marks - 125/160

Conditional Offer Lock Icon

Not mentioned

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

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MS in Data Science
at
Lehigh University
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#37	Civil Engineering PG US News & World Report, 2025
#251	PG Computer Science THE (Times Higher Education), 2025
#301	Mathematics ARWU (Shanghai Ranking), 2024

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Lehigh University
Students Ratings & Reviews

4.2/5

3 Verified Reviews Info Icon

Student Views (Based on Reviews)

67% students never faced discrimination in this university

Vibe of Campus

Academically oriented

Fun loving

Multi-dimensional

Friendly

Internships4

Part time work4.3

Post study jobs3.7

Quality of faculty4.7

Student Life4

Value for money4.3

Public transportation4.3

Safety4.3

Indian Food4.3

Permanent Immigration4.3

Anonymous

MS in Data Science - Batch of 2026

Offered by Lehigh University

4.8

Lehigh offers strong career support.

Tips: Start your career planning early. STEM advantage networking matters. Public transport is reliable. Location proximity is good. Living without a vehicle is easy. Do things you never did. Go out more often. Stay career ready. Prepare yourself for every challenge. Be ready for it.

Likes (Public transportation): The campus is well-connected to Bethlehem and nearby cities through buses like LANTA, which are frequent, reliable, and student-friendly. Students often use the free university shuttle system as well. It is affordable and convenient, especially for travel.

Dislikes (Post study jobs): Lehigh offers strong career support, and its STEM programs make you eligible for a 3-year OPT extension. Common job roles include Data Analyst, Software Developer, and Business Analyst, with starting salaries typically ranging from $70k-$90k. It’s worth it.

Total Monthly ExpenseUSD 1275

Prepping time for classes35 hours/Week

Expected Annual SalaryUSD 91375

Reviewed on 9 Jun 2025Read more

Sukhavasi Jyothir Kumar Verified Icon

MS in Computer Engineering - Batch of 2022

Offered by Lehigh University

A culturally rich, academically rigorous, and supportive learning environment.

Tips: Before joining this college, students should be prepared for a rigorous academic environment with a strong emphasis on research and practical learning. Time management is crucial, as balancing coursework, projects, and extracurricular activities can be challenging. There is also great support from faculty and career services that students should take full advantage of. When I first arrived, I did feel a cultural shift, especially in terms of classroom dynamics and independence I gradually adapted. Interacting with international peers and being part of campus communities helped me transition smoothly.

Likes (Safety): The campus offers a vibrant and inclusive atmosphere with something for everyone. A typical day involves attending engaging lectures, participating in lab sessions, and spending time at student lounges or the library with friends. I enjoy the cultural fests, hackathons, and regular teach meetups the most. Our campus hosts a wide range of events, including sports-run clubs like coding clubs, cultural societies, entrepreneurship cell, and robotics teams, where I regularly participate and collaborate with peers. These experiences make student life exciting and enriching.

Dislikes (Indian Food): The professors are highly knowledgeable, supportive, and always willing to help outside of class hours. They are easily accessible through emails or scheduled office hours, and they genuinely care about students' academic progress. The teaching methodology includes a blend of theoretical instruction and practical, real-world applications, and it often involves project-based learning and interactive sessions. The faculty also encourages research and innovation, and the department has a diverse set of professors from various nationalities. This brings different perspectives to the class, which enhances the learning experience.

Total Monthly ExpenseUSD 900

Prepping time for classes20 hours/Week

Expected Annual SalaryUSD

Reviewed on 30 Apr 2025Read more

Anonymous

Master of Science in Industrial and Systems Engineering - Batch of 2027

Offered by Lehigh University

2.9

Strong academics but limited opportunities.

Tips: Lehigh's CS programme is rigorous with strong faculty but limited industry connections for international students. The suburban campus is quiet with moderate costs. Cultural adjustment involved adapting to active class participation and informal student-professor dynamics. Partial merit scholarships including 5,000-15,000/year are available through admission applications. TA/RA positions provide extra funding. Faculty are accessible with diverse international backgrounds. Teaching combines theory with practical projects. I am fairly satisfied with my experiences. The courses need more electives, and the university has good academics, but it is isolated.

Likes (Quality of faculty): The faculty has strong academic and industry expertise. Professors are generally accessible offering regular office hours and prompt email response. The teaching methodology blend theory with hands on projects often incorporating real world case studies and research opportunities. The faculty is moderate diverse in terms of nationality with professors from the US India China Europe and other regions bringing varied perspectives to the curriculum.

Dislikes (Post study jobs): Limited on campus recruitment for international students. Few companies actively sponsor visas. Common roles include Software Engineer 80,000 - 1,10,000, and Data Analyst. Most opportunities require OPT/CPT. Check Lehigh's career reports for exact sponsor counts. Networking is key for off-campus roles.

Total Monthly ExpenseUSD 3600

Prepping time for classes15 hours/Week

Expected Annual SalaryUSD

Reviewed on 30 Apr 2025Read more

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MS in Data Science
at
Lehigh University
Highlights

The Master of Science in Data Science program provides students from a variety of backgrounds with a strong technical education in data scientific concepts and tools so that they may create innovative solutions to address societal challenges using data, state-of-the-art analytical methods and computing technology
Graduates from the program will gain proficiency required for positions in research and development within data science and its application in a variety of fields, and have the academic training to pursue doctoral research in or using data science
Student will get to learn about computational analysis of data to extract knowledge and insight. Exploration and manipulation of data. Introduction to data collection and cleaning, reproducibility, code and data management, statistical inference, modeling, ethics, and visualization