Master of Science in Computational Finance

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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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Carnegie Mellon University Tepper School of Business

The Tepper School of Business lives at the heart of Carnegie Mellon University, guided by a mission to transform the world, pioneering and innovating at the intersection of business, technology, and a ... Read More

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Master of Science in Computational Finance

General

Test Preparation

Student Tests

Introduction

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About the School

Carnegie Mellon University Tepper School of Business

Carnegie Mellon University Tepper School of Business

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General Information

Program Dates

Tuition & Fees

Program Type & Duration

Study Place

Funding

How to Apply

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