Program Overview

Master in Finance Program Overview

The Master in Finance program at Princeton BCF couples tailored career services with advanced academic coursework to prepare students at the highest level. This two-year program provides students with the necessary background in financial economics, data analysis and technology, financial engineering, and computational methods to earn competitive positions in both the public and private sectors.

An Interdisciplinary Approach

The program is regularly ranked #1 across several global academic rankings and draws from a variety of departments across Princeton, including the Department of Economics, the Department of Operations Research and Financial Engineering, the Department of Computer Science, the Department of Mathematics, and more. The curriculum has expanded to include new courses in machine learning, fintech, data science, and entrepreneurship.

What Separates the Master in Finance from an MBA?

The Master in Finance degree has become the preferred degree for algorithmic trading, quantitative asset management, risk management, derivatives pricing and trading, fixed income analytics, and other areas where the pricing and analysis of complex securities require significant quantitative input. The program also prepares students for opportunities outside of traditional investment banking, including opportunities in insurance, commercial banking, commodities and energy trading, and risk management for traditional industrial companies.

Unparalleled Career Services

The Master in Finance program invests significant time and resources preparing students for a wide range of careers both inside and outside the financial industry. All enrolled students have access to one-on-one career counseling and support, and benefit from the center's strong connections with its global alumni network.

Certificate in Machine Learning

Students completing the program in two years have the opportunity to obtain the Graduate Certificate from the Center for Statistics and Machine Learning (CSML). This certificate deepens and enhances students' understanding and application of data science techniques, representing Princeton's commitment to preparing students to lead in emerging areas.

Program Details

• The Master in Finance program is a two-year program.
• The program provides students with a background in financial economics, data analysis and technology, financial engineering, and computational methods.
• The curriculum includes courses in machine learning, fintech, data science, and entrepreneurship.
• The program prepares students for careers in algorithmic trading, quantitative asset management, risk management, and other areas.
• Students have access to one-on-one career counseling and support.
• The program offers a Graduate Certificate in Machine Learning from the Center for Statistics and Machine Learning (CSML).

Research Areas

• Financial economics
• Data analysis and technology
• Financial engineering
• Computational methods
• Machine learning
• Fintech
• Data science
• Entrepreneurship

Program Structure

• The program is interdisciplinary, drawing from various departments across Princeton.
• The curriculum is designed to provide students with a comprehensive understanding of finance and its applications.
• The program includes a range of courses, from foundational to advanced, to prepare students for careers in finance and related fields.