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Boston University Questrom School of Business MS IN MATHEMATICAL FINANCE & FINANCIAL TECHNOLOGY (MSMFT)

Boston University Questrom School of Business

MS IN MATHEMATICAL FINANCE & FINANCIAL TECHNOLOGY (MSMFT)

Boston, USA

0 up to 3 Semesters

English

Full time

Request application deadline

Sep 2025

On-Campus

Key Summary

    About: The MS in Mathematical Finance & Financial Technology (MSMFT) aims to equip students with the essential skills in quantitative finance and the latest technological advancements in the financial sector. This program integrates mathematical modeling, data analysis, and computational techniques. Students will engage with practical applications in various finance areas, preparing them for a rapidly evolving field.
    Career Outcomes: Graduates can pursue a range of career opportunities, such as quantitative analyst, financial engineer, risk manager, and roles in investment banking or financial consulting. The program prepares students for the challenges of the finance industry by developing both theoretical knowledge and practical skills.

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Introduction

If you are passionate about quantitative finance, financial technology, mathematics, data analysis, and programming, and you have the determination to take on a demanding curriculum, the Master of Science in Mathematical Finance & Financial Technology (MSMFT) is meant for you.

Faculty members will guide you, world-renowned authorities in the subject areas comprising the curriculum, to develop a skill set that will set you apart in the highly competitive quantitative finance and fintech employment markets. Whether your sights are set on working in financial technology, financial data analysis, financial engineering, risk management, asset management, or quantitative analytics, you will have what it takes to succeed.

The three-semester program takes you to the cutting edge of mathematical finance and financial technology. The curriculum includes a comprehensive survey of the stochastic mathematics employed in asset pricing, risk modelling, and portfolio management. You will be exposed to the latest concepts, tools, and computational techniques employed in financial technology and data analysis, and you will have the opportunity to explore exciting new frontiers such as machine learning and algorithmic trading.

The MSMFT is a full-time, three-semester, 39-credit program that develops advanced proficiency in the followingΒ areas:

Algorithmic trading and high-frequency data

Big data analysis and cloud computing

Blockchain and cryptocurrencies

Computational expertise in R and Python

Credit risk modelling

Deep learning and financial applications

Derivatives valuation

Portfolio theory and asset management

Risk management

Statistical, econometric, and machine learning techniques applied to the analysis of financial data

Stochastic mathematics

The program comprisesΒ five areas of concentration:

Asset Management

Financial Technology

Quantitative Analytics

Risk Management

Analytics & Research

You will also have the opportunity to complete an internship or industry-sponsored project in the summer, allowing you to put your newly developed skills to the test, add real-world experience to your resume, and expand your network.

The career pathsΒ that MSMFT graduates embark on include:

Algorithmic and quantitative trading

Design and valuation of financial products

Financial data analysis

Financial technology

Portfolio management

Quantitative risk management

About the School

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