Overview

The Computational Finance programme at Carnegie Mellon University provides a sophisticated interdisciplinary education designed for the modern quantitative finance industry. This master level course leverages the collective expertise of four world-class departments to deliver a curriculum that is both theoretically rigorous and practically relevant. Students benefit from a long-standing tradition of academic excellence and strong industry connections.

Why Computational Finance at Carnegie Mellon University?

Choosing this programme means joining a global leader that has pioneered quantitative finance education for over thirty years. The course is uniquely structured as a partnership between the Tepper School of Business, the Department of Statistics and Data Science, the Department of Mathematical Sciences, and the Computer Science Department. This collaborative approach ensures students gain a comprehensive perspective on the financial markets.

The university offers the flexibility of two strategic locations in Pittsburgh and New York City, providing direct access to major financial hubs. With a dedicated faculty of 21 full-time experts, students receive personalised guidance and support. The programme's reputation is reflected in its exceptional employment statistics, with 99% of graduates receiving job offers within three months of completing their studies.

Tuition Fee Breakdown

International fee: USD 58000 per year
National fee: USD 58000 per year
Local fee: USD 58000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to build a deep technical foundation before allowing for specialised study. Modules may include:

Finance
Mathematics
Statistics
Computer Science
Data Science
Communication Development

Careers with Computational Finance

Graduates are highly sought after by global employers, including over 30 major sell-side banks and 2,000 organisations worldwide. The programme prepares students for diverse career paths in quantitative research, risk management, and asset management. The strong focus on technical mastery and professional communication ensures that alumni can contribute immediately to their firms.

The university's extensive network of over 2,000 global employers provides a robust platform for career advancement. Students often secure roles in market making, algorithmic trading, and financial engineering. The consistent success of graduates in securing full-time positions highlights the programme's alignment with the evolving needs of the international financial sector.

Programme Structure

Courses include:

Financial Computing
Fixed Income
Probability
Statistical Inference
Microeconomics for Computational Finance

Key information

Duration

Full-time
- 18 months

Start dates & application deadlines

Starting 2027-08-25 00:00:00
- Apply before 2027-03-03 00:00:00

Language

English

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Credits

30 alternative credits

Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.

Delivered

On Campus

Campus Location

Pittsburgh, United States

Disciplines

Finance Computer Sciences View 513 other Masters in Finance in United States

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Academic requirements

GRE^®

Required

GMAT

Required

English requirements

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IELTS

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Other requirements

General requirements

Applicants should:

Have earned an undergraduate degree in a technical discipline such as mathematics, computer science, engineering or economics.
Have taken, at a minimum, two full semesters of study in differential and integral calculus, the caliber of which is required of engineering, math or science majors as well as ordinary differential equations, linear algebra, and a calculus based probability course.
Have strong academic performance in mathematics and probability coursework.

The following application components are required:

Online Application Form
Current Resume
Unofficial Transcripts of All Academic Work
Official GMAT Score (preferred) or GRE (accepted)

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

58000 USD / year

≈ 58000 USD / year
Out-of-State

58000 USD / year

≈ 58000 USD / year
Domestic

Applies to you

In-State

58000 USD / year

≈ 58000 USD / year

Living costs

Pittsburgh

United States

1148 - 1944 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Computational Finance.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Pittsburgh

Financing

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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