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Carnegie Mellon University, Master of Computational Finance
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Carnegie Mellon University, Master of Computational Finance

Overview
Synopsis

Carnegie Mellon University’s Master of Science in Computational Finance program offered at their Pittsburgh campus, in a city known for its great food, sightseeing adventures as well as history and entertainment.

Category

Finance Masters Programs

Features

• 4-week preparatory classes in math, probability, and programming
• 6 seven-week semesters
• 5 elective courses
• Summer internship
• Deutsche Bank Trading Competition

Degree Name

Master of Science in Computational Finance

Duration

One year, full time, on campus

Cost

Approximately $56,000

What is best?

• 6 seven-week semesters
• 5 elective courses
• Summer internship
• Deutsche Bank Trading Competition

What are the benefits?

• Enjoy all of the amenities of a world-class research university
• Gain access to top recruiters, valuable resources and personalized support from MSCF’s full-service career office
• Integrated curriculum that gives you the hands-on skills needed in an evolving financial industry
• Benefit from MSCF’s strong network of 1,400 alumni for jobs and internships
• Study preparatory classes in math, probability and programming
• Career counselors to assist you in the internship search
• Train with Deutsche Bank traders for the Deutsche Bank Trading Competition
• Close proximity to Schenley Park, with its more than 4450 acres of trails and access to outdoor activities.

PAT Rating™ ( Beta)
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Training
9.1
9.0
Academics
9.3
8.8
Faculty
9.1
8.5
Placement
9.3
9.3
Industry Interaction
9.2
Bottom Line

Carnegie Mellon University’s Master of Science in Computational Finance at the Pittsburg campus offers an integrated, inter-disciplinary curriculum that lays equal emphasis on both academic theory and practice. Graduates of the program obtain the analytical and technical expertise needed to expertly handle challenges and opportunities in modern financial markets.

9.2
Editor Rating
9.0
Aggregated User Rating
2 ratings
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Carnegie Mellon University’s Master of Science in Computational Finance program offered at their Pittsburgh campus, in a city known for its great food, sightseeing adventures as well as history and entertainment. The campus is adjacent to Oakland’s Schenley Park, which features more than 4450 acres of trails and places for outdoor activities. Carnegie Mellon’s MSCF program is taught as an interdisciplinary collaboration of the Heinz College, the Mathematical Sciences Department, the Department of Statistics, and the Tepper School of Business. The MSCF program features a highly-integrated curriculum that perfectly balances academic theory and practice. The curriculum also lays an emphasis on programming – a very important skill in today’s increasingly technical financial markets. The program is divided into six, 7-week long semesters. The program’s courses helps students focus on the quantitative finance career paths in trading, financial modeling, quantitative portfolio management, and risk management. The school offers preparatory classes early in the program, which are then followed by core courses throughout the first year and additional elective courses in the final semester. The elective courses allow students to focus on the area of quantitative finance of most interest to you. It is important to comment that: the course schedule is essentially fixed so that each set of courses acts as a foundation for the next, more advanced set. These courses are so designed to ensure graduates of the program possess a consistent ability to meet the analytical and technical challenges and opportunities facing the financial industry. Graduates of this program are able to manage and analyze large financial data sets to build trading, investment, and risk models that assist in financial decision-making.

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Training
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