Master of Science in Computational Finance
at Carnegie Mellon University, Pittsburgh

4.0 /5

(54 Reviews)

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Master of Science in Computational Finance
at
Carnegie Mellon University
Overview

Carnegie Mellon University is one of the finest universities in USA. Carnegie Mellon University provides Master of Science in Computational Finance at PG level. The duration of this course is 18 to 24 months. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Carnegie Mellon University include standardized tests like IELTS, TOEFL, GRE, GMAT and PTE. The first year tuition fees Carnegie Mellon University for Master of Science in Computational Finance is USD 66,400 (INR 6,373,736). Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Carnegie Mellon University is USD 18,272 (INR 1,753,929).

Duration	1.5 - 2 years
Tuition & Fees	₹63.62 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 Computational Finance

Table of contents

Overview
Fees
Entry Requirements
Application Process
Rankings
Placements
Highlights
Scholarships
Class Profile

Master of Science in Computational Finance
at
Carnegie Mellon University
Fees

The fee structure for the Master of Science in Computational Finance at the Carnegie Mellon University covers the first-year tuition fees along with other additional charges, including the Books and supplies charges, facilities cost and many more offered by the Carnegie Mellon University. Other than tuition costs, students need to pay living expenses that cover various factors like rent, food, transportation, utility, and other personal expenses. The average cost of living is USD 18,272 (INR 1,753,929). The total tuition fees for the first year of Master of Science in Computational Finance is USD 66,400 (INR 6,373,736).

Find more details about Carnegie Mellon University Master of Science in Computational Finance on the fee breakup, from the table mentioned below.

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 63,62,481

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 17,50,832
Insurance	INR 2,89,474

Calculated at the exchange rate of 1 USD = INR 95.8205 | Tuition & expenses were last updated on 17ᵗʰ November 2025

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Master of Science in Computational Finance
at
Carnegie Mellon University
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

No specific cutoff mentioned
Students must have a four-year UG degree from an accredited college or university in the U.S. or an equal degree from a foreign country prior to the start of the program

Prerequisites

Calculus I and II

Linear algebra

Calculus-based probability

Object-oriented programming course such as C, Python, Java or C

Students with a deficiency in one of these areas will be considered provided proper remediation is completed before enrollment
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TOEFL

No specific cutoff mentioned
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GPA

Percentage

CGPA

GMAT

No specific cutoff mentioned
NA

PTE

No specific cutoff mentioned

IELTS

No specific cutoff mentioned
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GRE

No specific cutoff mentioned
NA

Duolingo

No specific cutoff mentioned

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Master of Science in Computational Finance
at
Carnegie Mellon University
Application Process

Step one

Prepare documents for application

LOR

Three Letters of Recommendation are required. Choose individuals who know you well and are able to provide specific and relevant information about your potential for academic and career success

ESSAYS

There are two required short-answer essays in addition to a 90-second video essay response. Respond to the following two short answer essay topics:
- Provide an example from your past professional or academic experience that highlights a skill you developed that will be directly applied in your above-selected functional area. (350-word max)
- How did you develop an interest in the field of quantitative finance? What skill(s) are you currently lacking and how will the MSCF program uniquely prepare you with the knowledge you need for career success? (350 words max)
For the 90-second video essay, applicants are required to respond to the following prompt:
- Provide the specific steps you took and the resources you utilized to secure a previous academic or professional opportunity. Explain how this experience will benefit you in your desired career path
Applicants can also upload an optional essay (2-pages max) to convey any additional information

Submit the resume that should be one to two pages and highlight the achievements applicants have made in their professional career, using a standard (i.e. Times New Roman or Arial), 12-pt. font. It is REQUIRED that their resume includes the month and year for starting and ending dates for each position held

Step two

Additional documents required

Upload legible scanned/digitized copies of official transcripts and degree certificates. If the transcript is in a language other than English, an official translation must also be included from World Education Services (WES) Standards
Proof or ELP scores
Proof of GRE or GMAT score (Required)
A statement indicating that the primary language of instruction was English should be listed on the academic documents

Step three

Start your online application

https://www.cmu.edu/mscf/admissions/apply.html

Step four

Application fees for this course

USD 125 = INR 11.96 Thousand

Mode of payment: Credit card

Master of Science in Computational Finance
at
Carnegie Mellon University
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#4	Computer Engineering PG US News & World Report, 2026
#7	PG Computer Science THE (Times Higher Education), 2026
#19	Engineering and Technology QS, 2026

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Master of Science in Computational Finance
at
Carnegie Mellon University
Placements

Particulars	Statistics (2021)
Internship Available	Yes, Students will learn about the inner workings of the financial markets through their summer internship. Over the last five years, 98% of university students have obtained internships

Top Recruiters for Carnegie Mellon University

Blackrock

Bloomberg

Deutsche Bank

Ernst & Young

Goldman Sachs

JP Morgan Chase

Morgan Stanley

UBER

View placement details

Carnegie Mellon University
Students Ratings & Reviews

4/5

49 Verified Reviews Info Icon

Student Views (Based on Reviews)

26% students never faced discrimination in this university

Vibe of Campus

Multi-dimensional

Friendly

Academically oriented

Liberal

Internships3.4

Part time work3

Post study jobs4.4

Quality of faculty4.7

Student Life4.6

Value for money3.5

Public transportation4.5

Safety4.4

Indian Food4.1

Permanent Immigration3

Karshni Mitra Verified Icon

Master of Information Systems Management: Business Intelligence & Data Analytics - Batch of 2023

3.8

Not easy, but memorable and totally worth it.

Tips: The transition was easy if you know what to expect and what not to. You'll do your own chores, cooking, cleaning, laundry, groceries etc. You'll do your own furniture assembly, moving and all that difficult stuff, just like everyone else here. But what you'll gain is experience, friends and learn how to survive on your own. It's all a part of the process of becoming adjusted to life in the US. Good experiences.

Likes (Public transportation): College includes public transport in the fees. Buses, trains, etc. in Pittsburgh, are already included and the connectivity across the city via buses is very convenient. The buses run till late hours in the night, and CMU provides shuttle and campus escorts late into the night when buses are not available.

Dislikes (Permanent Immigration): Chances of permanent immigration/settlement is low since the H1b / Eb2 route has a lot of people from my country, causing extremely high wait times. You can be optimistic, but if things don't work out, have a backup in mind. The US allows you in for study/work realistically, that's all you should expect to be on a visa. If something works out otherwise, I'd call it an optimistic scenario using other routes, not the ground truth.

Total Monthly ExpenseUSD 1200

Prepping time for classes40 hours/Week

Expected Annual SalaryUSD 105000

Reviewed on 3 Feb 2026Read more

Anonymous

MS in Civil and Environmental Engineering/MBA (Porto Business School) - Batch of 2026

3.9

Welcoming and open environment.

Tips: There were no major culture shocks apart from the fact that people are more direct in their approach and socialising is more than just an expectation. The culture is very academic and it can get competitive at times. Case studies and presentations are the norm, so you'll have to learn how to be a team player and work with people. There is ongoing support that doesn't subside after the first few days.

Total Monthly ExpenseUSD 1700

Prepping time for classes31 hours/Week

Expected Annual SalaryUSD 104500

Reviewed on 29 Jan 2026Read more

Vaishnavi Sreenivasa Verified Icon

Master of Information System Management - Batch of 2026

4.1

All around academic excellence.

Tips: After moving here, I have not experienced any cultural shift, mostly because I think nobody moving after working for a few years and is from a metro city back in India, the lifestyle remains pretty much the same and there are just some more social rules and regulations to keep in mind that probably take a few days to get used to. I was fortunate enough to get 15% scholarship based on my academic excellence and profile. It gets deducted every semester. I am very satisfied with the course and the university. The institution offers excellent academic rigour with outstanding professors and really well designed courses.

Likes (Public transportation): College students have free public transport and this saves a lot of money as a student. There are plenty of options for public buses from the university to travel anywhere you want in the city. The university itself offers shuttle services for students including late night shuttles for those staying back in college post 10 pm.

Dislikes (Permanent Immigration): Chances of me settling in that country are below average because of visa issues and constant changes being introduced for the visa. I value flexibility with respect to travelling and going back to my home in India and because there is so much uncertainty around the visa.

Total Monthly ExpenseUSD 1575

Prepping time for classes24 hours/Week

Expected Annual SalaryUSD 110800

Reviewed on 20 Jan 2026Read more

Anonymous

Master of Computational Data Science (Human-Centered Data Science Concentration) - Batch of 2027

3.8

Great to polish yourself academically.

Tips: Studying here will surely be intense. You will have a heavy work load and you will also feel like you're falling behind. Remember that the process is the same for everyone and there are some helpful campus resources you can always take advantage of. I enjoy classroom discussions and the brand value of studying here is unmatched. Labs are well equipped as well and professors have been very helpful.

Total Monthly ExpenseUSD 1800

Prepping time for classes32 hours/Week

Expected Annual SalaryUSD 101400

Reviewed on 25 Nov 2025Read more

Kaamya

Master in Biomedical Engineering and Engineering & Technology Innovation Management - Batch of 2027

3.6

Brought out my potential.

Tips: I would say that I underestimated the workload here and after a semester or so I realised the true intensity of studying. You're also surrounded by some of the smartest and intellectually curious individuals, which certainly helps in broadening your way of thinking. Out of classroom exposure is emphasised as much as within the classrooms so make sure you get a chance to experience it all.

Total Monthly ExpenseUSD 1500

Prepping time for classes33 hours/Week

Expected Annual SalaryUSD 89075

Reviewed on 22 Sep 2025Read more

View All 54 Reviews

Master of Science in Computational Finance
at
Carnegie Mellon University
Highlights

The MSCF curriculum is constantly changing to meet the needs of the financial markets
MSCF's highly-integrated, interdisciplinary curriculum is well-balanced between theory and practice
A five-course sequence covers a comprehensive range of topics from data science, including machine learning and statistical methods, all tailored to the challenges of dealing with financial data