M.S. in Computer Science
at Rutgers University–Camden, Camden

2.7 /5

(1 Review)

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#203 in USA

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M.S. in Computer Science
at
Rutgers University–Camden
Overview

Rutgers University–Camden offers a 24 months long M.S. in Computer Science course. The tuition fees to pursue this program is USD 18395.0. English language proficiency test accepted for admission to Rutgers University–Camden M.S. in Computer Science are IELTS, TOEFL, Duolingo, and PTE. Graduation cutoff for admission is CGPA - 3.0/4.

Duration	2 - 2.5 years
Tuition & Fees	₹17.60 Lakh Get Fees details
International Students Admission Website	Go to Website
Official Career Service Website	Go to Website
Course Level	PG Degree

M.S. in Computer Science

Table of contents

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

M.S. in Computer Science
at
Rutgers University–Camden
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 17,60,013

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 15,30,671
Insurance	INR 2,81,487

Calculated at the exchange rate of 1 USD = INR 95.6789 | Tuition & expenses were last updated on 27ᵗʰ July 2026

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M.S. in Computer Science
at
Rutgers University–Camden
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

CGPA - 3/4
Applicants must have a bachelor’s degree with a minimum GPA of 3.0 and a firm foundation in linear algebra and multivariable calculus.

A bachelor’s degree in a basic science or engineering field is preferred but not required.

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GPA

Percentage

CGPA

3 year degree accepted

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GPA

Percentage

CGPA

TOEFL

Marks - 79/120
NA

PTE

Marks - 53/90
NA

IELTS

Marks - 6.5/9
NA

Duolingo

Marks - 120/160
NA

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M.S. in Computer Science
at
Rutgers University–Camden
Rankings

University Ranking

Rank	Rank Publisher
#97	National University US News & World Report, 2026

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Rutgers University–Camden
Students Ratings & Reviews

2.7/5

1 Verified Review Info Icon

Student Views (Based on Reviews)

0% students never faced discrimination in this university

Vibe of Campus

Multi-dimensional

Stressful

Academically oriented

Internships3

Part time work3

Post study jobs3

Quality of faculty4

Student Life3

Value for money3

Public transportation3

Safety3

Indian Food1

Permanent Immigration1

Anonymous

B.S. in Biology - Batch of 2029

2.7

Good Academics and Classes, fun to be there and socialize

Tips: I experienced a huge cultural shift, as I am from overseas; there's a lot of difference in the culture, which I slowly absorbed. I did get scholarships based on my high school scores; I am pretty satisfied, as there's a significantly smaller class size and more time for questioning concepts that you study.

Likes (Quality of faculty): Faculty is really good; you can approach them anytime, and they reply fast with emails. They explain concepts so well. The teaching methodology is wonderful; the slideshows for each chapter are clear and concise and include all important topics. Teaching faculty are extremely diverse.

Dislikes (Indian Food): No Indian food options nearby, no Walmart, no Target, like no grocery stores nearby either; everything is 7-8 miles away and difficult to travel to. In fact, the college food is even worse and has no good options, sometimes raw. Barely one restaurant nearby. I honestly prefer just making my own meals so I can actually eat healthy, hot food that's properly cooked and nutritious.

Total Monthly ExpenseUSD 2025

Prepping time for classes2 hours/Week

Expected Annual SalaryUSD

Reviewed on 3 Jul 2026Read more

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M.S. in Computer Science
at
Rutgers University–Camden
Highlights

This program is offered by Rutgers University–Camden.
The Computer Science program at Rutgers-Camden equips graduates with a solid foundation in theory and algorithms, enabling them to pursue further educational opportunities in Ph.D. programs in science and engineering at leading academic institutions in the U.S. and internationally.
With a focus on relevant algorithms and programming, students also acquire the necessary skills for current and emerging computational applications in the industry.