Master of Science in Computer Engineering
at Columbia University, New York

3.7 /5

(4 Reviews)

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#15 in Computer Science Engineering in USA

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Master of Science in Computer Engineering
at
Columbia University
Overview

International students can pursue Master of Science in Computer Engineering at PG level at Columbia University. The duration of the course at the university is 18 to 24 months. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL, GRE, PTE and Duolingo to be eligible for the course. The University fees for international students for Master of Science in Computer Engineering is around USD 64,800 (INR 6,220,152) for first-year. Students must manage additional costs such as:

Rent
Hostel fees
Food, books
Supplies
Utilities, etc.

The average Columbia University cost of living is USD 15,130 (INR 1,452,329).

Duration	1.5 - 2 years
Tuition & Fees	₹62.75 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 Computer Engineering

Table of contents

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

Master of Science in Computer Engineering
at
Columbia University
Fees

For attending the Columbia University for Master of Science in Computer Engineering, students have to pay the tuition fee as well as the living expenses. The Columbia University Master of Science in Computer Engineering fee structure varies for domestic and international students.

Foreign students will have to pay USD 64,800 (INR 6,220,152) for the first-year of study. Other than the annual tuition fee, they will also have to cover the living expenses (includes housing, food, transportation, books and supplies, and other miscellaneous expenses), which is around USD 15,130 (INR 1,452,329) for overseas students. Based on the student’s lifestyle and purchasing power, the cost of living varies.

Refer to the table below for the breakdown of expenses for the Columbia University Master of Science in Computer Engineering cost of attendance:

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 62,75,442
Application Fee	INR 8,232

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 14,65,238
Insurance	INR 5,19,758

Calculated at the exchange rate of 1 USD = INR 96.84325 | Tuition & expenses were last updated on 11ᵗʰ March 2026

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Master of Science in Computer Engineering
at
Columbia University
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

No specific cutoff mentioned
Applicants must have a Bachelor's degree in the relevent field or international equivalent from a recognised university.

Ordinarily, applicants will have majored in the field in which graduate study is intended, but in certain programs preparation in a related field of engineering or science is acceptable.
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Convert your CGPA to GPA

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GPA

Percentage

CGPA

TOEFL

Marks - 99/120
99 or lower is required

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Convert your CGPA to GPA

Calculate your score and check your eligibility at over 2000+ universities.

GPA

Percentage

CGPA

PTE

Marks - 68/90
68 or lower is required

IELTS

Marks - 7/9
7 or lower is required

GRE

No specific cutoff mentioned
There is no minimum test score requirements.

The average GRE quantitative scores for past entering classes around 91%

Duolingo

Marks - 134/160
134 or lower is required

Other eligibility criteria Lock Icon

A video interview is required.
Applicants will answer three randomly selected behavioral questions, with 90 seconds to prepare and three minutes to record their responses.

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

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Master of Science in Computer Engineering
at
Columbia University
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#9	Biomedical Engineering PG US News & World Report, 2026
#15	Life Sciences THE (Times Higher Education), 2026
#18	Biological Sciences QS, 2026

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Columbia University
Students Ratings & Reviews

3.7/5

3 Verified Reviews Info Icon

Student Views (Based on Reviews)

75% students never faced discrimination in this university

Vibe of Campus

Academically oriented

Friendly

Multi-dimensional

Fun loving

Internships3.7

Part time work3.3

Post study jobs4

Quality of faculty4.7

Student Life3.7

Value for money3.3

Public transportation4.7

Safety3.7

Indian Food3.3

Permanent Immigration3

Anonymous

Computer Science Master's Degree - Vision, Graphics, Interaction and Robotics - Batch of 2026

3.0

Ivy League Tag does not work anymore.

Tips: No overwhelming cultural shift that I have experienced as of now. I didn't get any scholarship, they pay you nothing, no on campus jobs and even if you get any, you'll be paid peanuts. You basically take a crore rupees loan, study and work like a machine and still end up with no internship call, no certainty about jobs.

Likes (Quality of faculty): Excellent faculty, coursework, teaching and most importantly research. But don't expect to get paid for your research. They won't pay you. They'll ask you to take it for credit. All professors are great researchers and top in their domain but not all are good teachers.

Dislikes (Value for money): It's very expensive with zero or very few on campus jobs paying you peanuts. No proper career fair for internships. Uncertainty of jobs, constantly changing government regulations, disregarding all the effort and money we put to study here. Disregard for your skill and knowledge.

Total Monthly ExpenseUSD 2125

Prepping time for classes50 hours/Week

Expected Annual SalaryUSD 80575

Reviewed on 28 Sep 2025Read more

Nithishma Allu Verified Icon

MS in Computer Science - Batch of 2024

4.6

Columbia University: Fostering Brilliance and Innovation

Tips: Networking is the key. Make as many connections as possible. New York is an amazing place to be and make the most of it. There is a Shardarshish scholarship which waves 50% tuition fees and also numerous graduate research assistant roles available if interested.

Likes (Quality of faculty): The diversity of faculty is amazing with most of them graduating from the top universities. Their knowledge on the subject is remarkable and they challenge you to be better and work harder. They let you engage in projects and conduct many office hours for discussions

Dislikes (Internships): The coursework and the brand value added because of Columbia University is great which lands you in a good internship but there are comparatively fewer career fairs than other universities. The career advisors are super helpful in guiding and suggesting changes to resumes and cover letters.

Total Monthly ExpenseUSD 1500

Prepping time for classes30 hours/Week

Expected Annual SalaryUSD 150000

Reviewed on 11 Feb 2024Read more

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1 person found this helpful

Anonymous

MS in Data Science - Batch of 2026

3.6

Columbia is an expensive school, and the competition is very fierce.

Tips: Be mentally prepared before coming, the scholarships are rare, you need to be best at what you do. The competition is fierce, and things are not so dreamy anymore in the USA. But if you are good at it, you can make it. I am satisfied, hopefully I will get a job, and it will be easier for me.

Likes (Quality of faculty): Mostly, the faculty are adjunct faculty, giving a more practical experience. The faculty is diverse and well-rounded, and the way things are done here is different from in India. They are more concerned with practicality than with theoretical knowledge, so you need to study and prepare on your own.

Dislikes (Value for money): Columbia is an expensive school, and the competition is very fierce. Off-campus jobs don't pay well compared to the living costs. There are better private schools that offer scholarships you can attend. Brand value still matters in today's world, though.

Total Monthly ExpenseUSD 2300

Prepping time for classes27 hours/Week

Expected Annual SalaryUSD 87000

Reviewed on 1 May 2025Read more

Anonymous

Master of Science in Enterprise Risk Management - Batch of 2026

3.6

Columbia University is a great place to pursue your course.

Tips: The education system here is uncorrupted, and only intelligence, brilliance, and consistency survive here. Not being mentally prepared to face or embrace the culture and weather changes can be detrimental, but overall, it's a great university to study and learn at. Also, it's great to have your own bicycle or something to travel on. Scholarships are available, offered based on the profile and the kind of degree. Mostly PhDs get plenty of funding through research assistantships or teaching assistantships, but others can too; you just need to research a bit. Columbia University is a great place to study.

Likes (Value for money): It's great value for money, as I got more in return than what I paid for in my course. The course covered all the great aspects of my master's degree in enterprise risk management, though it was very hectic, but definitely worth it. I had fun doing this, and the environment here is awesome too.

Dislikes (Permanent Immigration): Permanent immigration in the US has a long queue if you are an Indian, since there are many. It is totally possible to extend your visa, definitely once you apply for a green card, but it is by no means citizenship until you get your green card, and it's hard to get, especially as an Indian. I would love to have permanent residence here; it is a fun place, and I would really like to have a job here.

Total Monthly ExpenseUSD 1300

Prepping time for classes27 hours/Week

Expected Annual SalaryUSD 70000

Reviewed on 29 Mar 2026Read more

View All 4 Reviews

Master of Science in Computer Engineering
at
Columbia University
Highlights

Students will master the fundamentals of both disciplines and gain experience in integrating this knowledge to design real-world applications.
Combine core coursework in computer science and electrical engineering. Multiple electives let students pursue an area of interest among diverse options
Integrate the interests in computer science and electrical engineering to create the computing hardware and software at the heart of modern technology