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Carnegie Mellon University Tepper School of Business Master of Science in Computational Finance

Carnegie Mellon University Tepper School of Business

Master of Science in Computational Finance

Pittsburgh, USA

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English

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Sep 2024

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Key Summary

    About: The Master of Science in Computational Finance focuses on using quantitative methods and computational techniques to address complex financial problems. The program incorporates a blend of finance theory, mathematical modeling, and computer science, preparing students to work in various financial sectors.
    Career Outcomes: Graduates can pursue careers in areas like quantitative analysis, risk management, algorithmic trading, and financial technology. They may find roles in investment banks, hedge funds, insurance companies, and consulting firms.

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Introduction

The Master of Science in Computational Finance (MSCF) curriculum was developed from the joint venture between four Carnegie Mellon University colleges. This unique collaboration enables MSCF to offer tight integration of statistics, computer science, mathematics and finance - the four disciplines underlying computational finance.

MSCF’s reputation for excellence lies squarely on the strength of our faculty and the custom-tailored courses developed and updated over the past twenty-seven years. Well-balanced between theory and practice, MSCF offers a blend of carefully coordinated quant, applied finance and computational coursework. It is the best of its kind.

While students are permitted a degree of specialization in the last two mini-semesters through their choice of electives, the program is largely fixed with each set of courses preparing the groundwork for the next, more advanced, set. With all our students taking the same set of core courses, recruiters value our students’ consistent ability to meet the analytical and technical challenges facing the industry.

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