Quantitative Finance, MSF (Boston)

The Master of Science in Quantitative Finance program at Northeastern University's D’Amore-McKim School of Business prepares students to succeed in a finance industry increasingly shaped by technology, data, and innovation.

Students begin by building a rigorous quantitative foundation that brings together finance, analytics, and computational skills. Coursework integrates economics, mathematics, and computer science with advanced financial theory and real-world application. This offers students the tools to model complex scenarios; analyze data with precision; and make sound, strategic, financial decisions.

The curriculum aligns with the Chartered Financial Analyst exams, helping students build both technical expertise and professional readiness.

Experience-Powered Learning

Learning by doing is a core component of the program. Students apply quantitative and financial concepts to real-world business challenges through applied projects using real company data. Through an optional graduate co-op or Community Impact Initiative, students translate ideas into action by completing a project for an organization.

Additional experiential options include training and certification in Bloomberg Terminal and participation in equity research and portfolio management activities through the student-managed 360 Huntington Fund.

Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements 

Course List

Code	Title	Hours
FINA 6403	Investment Analytics	4
FINA 6412	Applied Statistics for Finance	2
FINA 6421	Applied Econometrics for Finance	2
FINA 6431	Corporate Finance	4
FINA 6432	Fundamentals of Financial Math and Financial Markets	4
FINA 6433	Fundamentals of Programming for Finance	2
FINA 6435	Derivatives and Risk Analysis	4

Electives

Course List

Code	Title	Hours
In consultation with advisor, complete 8 graduate-level semester hours from the following for which prerequisites have been met:		8
FINA 6404	Fundamentals of International Finance
FINA 6407	Financial Modeling
FINA 6414	Merger and Acquisition Strategy
FINA 6415	Business Turnarounds
FINA 6416	Valuation and Value Creation
FINA 6417	Real Estate Investment
FINA 6422	Investment Banking
FINA 6424	Corporate Governance
FINA 6436	Fixed-Income Securities
FINA 6438	Alternative Investments
FINA 6439	Quantitative Portfolio Management
FINA 6440	Financial Markets and Banking in the Post Financial Crisis Era
FINA 6442	Financial Data and Fintech
FINA 6460	Fund Management for Analysts
FINA 6461	Fund Management for Managers

Optional Career Management Course

Course List

Code	Title	Hours
BUSN 6400	Career Management	0

Program Credit/GPA Requirements

30 total semester hours required
Minimum 3.000 GPA required