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Universities / Northeastern University

MS in Quantitative Finance (MSQF)

A 30-credit finance degree that blends corporate finance and investment analytics with programming (Python), derivatives and risk, with electives in coding, mathematics and econometrics. It is more finance-oriented than a pure MFE and includes Bloomberg Terminal certification and a student-managed fund.

What you’ll study

Core

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

Electives

  • 8 semester hours chosen with an advisor, e.g. alternative investments and quantitative portfolio management, fixed-income securities, financial data and fintech, fund management

Source: catalog.northeastern.edu ↗

Before you apply

Background
Business degree not required; applicants from all backgrounds welcome; minimum 3.000 GPA to graduate
Tests
GRE/GMAT not required (test-optional)
English
TOEFL, IELTS, Duolingo or PTE if applicable; no minimum stated
Other
Statement (500 words or fewer), resume, two recommendations, transcripts

Source: damore-mckim.northeastern.edu ↗

After graduation

Typical first roles
Quantitative analyst, Risk strategist, Financial engineer, Data scientist

Source: damore-mckim.northeastern.edu ↗

Want to see what employers ask for? Browse open quant roles.

What students and graduates say

Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.

STEM-designated (up to 36 months OPT per school page). Catalog edition 2026-27. Forum sentiment per search snippets is mixed to sceptical about how quantitative it is.

Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.

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