Program Overview

Introduction to the Master of Science in Computational Finance

The Master of Science in Computational Finance (MSCF) program at Carnegie Mellon University is a global leader in applied quantitative finance coursework, with locations in Pittsburgh and New York City.

Program Overview

The MSCF program is an interdisciplinary curriculum that offers students the math, finance, statistics, and computer science needed for success in quantitative finance. With a strong focus on academic leadership, the program has prepared students for highly successful careers in quantitative finance for over 30 years.

Key Program Statistics

• 99% of students accepted full-time positions within six months of graduation
• Over 2000 employers globally, including 30 sell-side banks, recruit from MSCF
• 21 full-time faculty members dedicated to helping students succeed

Curriculum and Research Areas

The MSCF program provides students with a comprehensive education in quantitative finance, covering topics such as:

• Math
• Finance
• Statistics
• Computer science

Career Paths and Employment Statistics

The program has an excellent track record of placing students in top jobs, with 99% of students receiving offers within three months of graduation. Students have gone on to work with over 2000 employers globally, including 30 sell-side banks.

News and Events

The MSCF program hosts various events and competitions, including:

• The annual MSCF Trading Competition
• The MSCF Datathon
• Panels for Women in Data Science

Locations

The MSCF program is offered in two locations:

• Pittsburgh: Carnegie Mellon University, TCS Hall, 5000 Forbes Avenue, Pittsburgh, PA 15213
• New York City: Carnegie Mellon University, 88 Pine Street, 12th Floor, New York, NY 10005

Faculty and Staff

The program has 21 full-time faculty members dedicated to helping students succeed. The faculty and staff are committed to providing students with a world-class education and supporting their career goals.