Program Overview

Master of Science in Computational Finance

The Master of Science in Computational Finance 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 program has been a pioneer in quantitative finance for 30 years, offering an interdisciplinary curriculum that includes math, finance, statistics, and computer science. The full-time faculty members are dedicated to helping students succeed in the field.

Curriculum

The program's curriculum is designed to provide students with the skills and knowledge needed for success in quantitative finance. The faculty members offer a range of courses that cover the math, finance, statistics, and computer science aspects of the field.

Career Paths

The program has a strong track record of placing students in top jobs, with 99% of students accepting full-time positions within six months of graduation. The program's career paths include opportunities in sell-side banks, buy-side firms, and other financial institutions.

Faculty and Research

The program has 21 full-time faculty members who are dedicated to helping students succeed. The faculty members are also involved in research and have published papers in top-tier journals.

Employment Statistics

The program's employment statistics are impressive, with 99% of students receiving job offers within three months of graduation. The program's graduates have gone on to work for over 2000 employers globally, including 30 sell-side banks.

News and Events

The program hosts various events and competitions, including the MSCF Trading Competition and the MSCF Datathon. The program also has a strong alumni network, with many graduates going on to become leaders in the field.

Locations

The program has two locations: Pittsburgh and New York City. The Pittsburgh location is at Carnegie Mellon University's TCS Hall, while the New York City location is at 88 Pine Street, 12th Floor.

• Key features of the program include:
  • Interdisciplinary curriculum
  • Full-time faculty members
  • Strong career paths
  • Impressive employment statistics
  • Global alumni network
  • Two locations: Pittsburgh and New York City

Academics

• The program offers a range of courses that cover the math, finance, statistics, and computer science aspects of quantitative finance.
• The faculty members are dedicated to helping students succeed and have published papers in top-tier journals.

Student Experience

• The program offers experiential learning opportunities, including the MSCF Trading Competition and the MSCF Datathon.
• The program has a strong alumni network, with many graduates going on to become leaders in the field.

Admissions

• The program has a competitive admissions process, with a strong focus on academic achievement and potential for success in the field.
• The program offers a range of tuition and financial aid options to help students fund their education.

People

• The program has 21 full-time faculty members who are dedicated to helping students succeed.
• The program's alumni network is strong, with many graduates going on to become leaders in the field.

Corporate Engagement

• The program has a strong corporate engagement program, with many top financial institutions recruiting graduates from the program.
• The program offers a range of opportunities for corporate partners to engage with students and faculty, including sponsorships and partnerships.

Alumni Engagement

• The program has a strong alumni network, with many graduates going on to become leaders in the field.
• The program offers a range of opportunities for alumni to engage with current students and faculty, including mentorship programs and networking events.