Studyportals
M.Sc. On Campus

Computational Finance

Carnegie Mellon University

18 months
Duration
58000 USD/year
58800 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

For 23 years, Carnegie Mellon University's interdisciplinary, top-ranked Master of Science in Computational Finance program has prepared students for highly successful careers in quantitative finance.

Overview

Over the last 25 years, increased competition, advances in technology and the globalization of markets have dramatically lowered the cost and increased the speed and volume of data available for decision-making. Extensive regulation, implemented after the 2008 financial crisis, requires financial firms to better measure and control risk in their portfolios. 

To succeed, bankers, traders and money managers must understand the proper use and limitations of the mathematical models on which their decision-making is based, the statistical analysis and probabilistic distributions driving economic forecasts and the management of software development necessary to implement these tools. Our Computational Finance students are trained to meet these industry needs. 

Mission

The Carnegie Mellon University mission is to create a transformative educational experience for students focused on deep disciplinary knowledge; problem solving; leadership, communication, and interpersonal skills; and personal health and well-being.

To cultivate a transformative university community committed to :

  • attracting and retaining diverse, world-class talent; 
  • creating a collaborative environment open to the free exchange of ideas, where research, creativity, innovation, and entrepreneurship can flourish
  • ensuring individuals can achieve their full potential.

To impact society in a transformative way — regionally, nationally, and globally — by engaging with partners outside the traditional borders of the university campus.

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

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

GRE admission requirements GRE®
Required
GMAT admission requirements GMAT
Required

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 Fee

To alway see correct tuition fees
  • International

    58000 USD/year
    Tuition Fee
    Based on the tuition of 58000 USD per year during 18 months.
  • National

    58800 USD/year
    Tuition Fee
    Based on the tuition of 58800 USD per year during 18 months.

Living costs for Pittsburgh

1148 - 1944 USD /month
Living costs

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

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Computational Finance
-
Carnegie Mellon University

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