Which Applicants Do Top 50 US Financial Engineering & Financial Math Programs Prefer? A Tiered Guide for Canadian Undergraduates

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Financial engineering and financial mathematics are highly popular fields for study abroad applications, demanding strong quantitative backgrounds in math, programming, etc. This article breaks down the differences between financial engineering and financial math, and comprehensively outlines core prerequisite coursework covering financial knowledge, math/statistics, and computer programming, helping Canadian undergraduates accurately assess their fit with target programs. Drawing on CheersYou(清柚教育)'s past successful admissions, this article provides clear application tiers for 24fall and 25fall Canadian students. It details GPA and GRE score thresholds for Tier 1 and Tier 2, and recommends top US universities like Princeton and Columbia, empowering students to define their school selection and plan their prestigious university applications strategically.

Financial engineering and financial mathematics programs have always been popular choices, but they also come with relatively high application difficulty. For Canadian undergraduates applying to US graduate programs in financial engineering or financial mathematics for Fall 2024/2025, if you are still struggling with school selection, you can match your profile to the guidance in this article. Based on past successful admissions, we have divided application tiers for you.

 

First, financial engineering and financial mathematics focus on the application of mathematics and statistics in the financial industry, covering the development, evaluation, and implementation of various financial models. The difference is that financial mathematics emphasizes mathematical theory and the study of models themselves, while financial engineering is more practical, using computer programming to implement quantitative financial models.

 

Second, compared to business disciplines such as Accounting and Marketing, financial engineering and financial mathematics have higher requirements for applicants' quantitative backgrounds in math and programming, as well as practical business skills.

 

 

Prerequisite courses for application include:

Professional knowledge: finance-related courses

Mathematics and statistics courses: calculus, probability and statistics, linear algebra, differential equations, numerical methods, etc.

Computer programming languages: Python, C++, Java, R, MATLAB, SQL, etc.

Statistical analysis software: SAS, R, EViews, Stata, etc.

 

 

Tier 1

 

GPA 3.9+, GRE 335+, top-tier internships/research

 

Princeton University - Finance

Massachusetts Institute of Technology - Finance

University of California, Los Angeles - Financial Engineering

New York University - Mathematics in Finance

Columbia University - Financial Engineering

Baruch College - Financial Engineering

University of California, Los Angeles - Financial Engineering

Carnegie Mellon University - Computational Finance

 

These schools have very limited enrollment. For Canadian undergraduates, mainly from the top 10, especially the top 3 universities, a GPA of 3.9+ (3.8 might be borderline), GRE preferably 335+, and exceptional strength/research experience that is hard to match.

 

 

 

Tier 2

 

GPA 3.7+, GRE 330+, strong internships/research

 

Columbia University - Mathematics of Finance

New York University - Financial Engineering

University of Chicago - Financial Mathematics

Cornell University - Financial Mathematics, Engineering Concentration

Duke University - Financial Technology (FinTech)

Georgia Institute of Technology - Quantitative and Computational Finance

 

These schools have moderate enrollment. Applicants from all Canadian top 10 universities are found, but for schools outside the top 3, requirements are stricter. Even if one aspect of the background is slightly weaker, the overall admission GPA is still above 3.7, with relatively rich work or practical experience.

 

 

Tier 3

 

GPA around 3.5, GRE 325+, at least one strong internship/research experience

 

North Carolina State University - Financial Mathematics

University of Washington - Computational Finance

Johns Hopkins University - Financial Mathematics

University of Southern California - Financial Engineering

University of Michigan - Quantitative Finance and Risk Management

 

These schools enroll around a hundred students. Canadian undergraduates from various tiers are admitted. GPAs are mostly around 3.5, with internship or research experience, and at least one internship at a big-name company.

 

 

 

Tier 4

 

GPA around 3.0, GRE 320+, internships/research

Boston University - Mathematical Finance

Florida State University - Financial Mathematics

Rutgers University - Quantitative Finance

University of Minnesota - Financial Mathematics

 

These are safety schools, but the GPA requirement is usually above 2.8, with internship or research experience.

 

Anne has helped many students secure offers from financial engineering and financial mathematics programs. If you are interested in applying to a master's in financial engineering or financial mathematics, scan the QR code below to start a one-on-one consultation~