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Bachelor's Degree in Quantitative Finance

Program Details

Degree

Bachelor of Science

Available

On Campus

Contact

Office of Undergraduate Admissions1.201.216.8348[email protected]
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Quantitative Finance is about more than analyzing stock portfolios; it is at the heart of all modern financial strategies and operations. 

The discipline spans the management of pension funds and insurance companies to the control of operational risks for manufacturing and consumer products companies and how to model the behavior of financial markets. The QF bachelor's program at Stevens emphasizes business, math, finance and computer science, preparing you to understand and seize new opportunities across industry categories. You’ll become an expert at using the unique tools of the trade in our high-tech financial systems lab, and will get Bloomberg certification as a freshman. And demand from industry is insatiable — since its inception, virtually 100 percent of the program’s graduates have secured high-paying jobs on Wall Street and beyond within six months of commencement.

Additionally, the Stevens QF program has been accepted into the CFA Institute University Affiliation Program. Universities with this recognition incorporate at least 70 percent of the CFA Candidate Body of Knowledge (CBOK), making them well positioned to sit for the CFA exams.

Students who graduate from the Quantitative Finance program are able to manage financial assets and risk for firms on Wall Street and beyond, ranging from risk management, to investment banking, to financial modeling.

Lessons in the Quantitative Finance major are fused with practical experience and access to leading financial organizations in nearby New York. Students will be exposed to a strong quantitative component, including two years of calculus and a supplementary year of advanced financial mathematics.

Quantitative Methods Core
  • MA 121 / MA 122 Introduction to Calculus / Calculus 1A

  • MA 123 Series, Vectors, Functions and Surfaces

  • MA 124 Calculus of Two Variables

  • MA 221 Differential Equations

  • MA 230 Multivariate Analysis & Optimization

  • MA 232 Linear Algebra

  • QF 112 Statistics for Quantitative Finance

  • QF 343 Stochastic Calculus for Financial Applications

Computer Science Core
  • CS 115 Introduction to Computer Science

  • MA 134 Discrete Math

  • CS 284 Data Structures

  • CS 385 Algorithms

Quantitative Finance Spine

The unique, eight-course Quantitative Finance spine is a sequence of integrator courses that combine the skills and disciplines from other components of the curriculum.

  • ECON 200 Financial Econometrics

  • QF 101 Introduction to Quantitative Finance I

  • QF 102 Introduction to Quantitative Finance II

  • QF 202 Introduction to Financial Time Series

  • QF 212 Adv Probability and Stochastic Processes for QF

  • QF 301 Advanced Time Series Analytics and Machine Learning

  • QF 302 Financial Market Microstructure and Trading

  • QF 430 Intro. to Derivatives

  • MGT 411 Senior Design Research Project I

  • MGT412  Senior Design Research Project  II

Quantitative Finance Concentration

Students choose four courses in the area in which they wish to concentrate. Among the opportunities for this concentration:

Accounting

Required courses

  • ACC 311 - Intermediate Accounting I

  • ACC 312 - Intermediate Accounting II

  • ACC 535 - Accounting Data Analytics and Information Systems

Complete at least 2 of the following courses

  • ACC 421 - Audit and Assurance

  • ACC 431 - Advanced Accounting

  • ACC 351 - Federal Taxation of Individuals

  • FIN 510 / ACC 510 - Financial Statement Analysis

  • ACC 552 - Tax Compliance and Planning for Business Entities

  • FIN 555 / ACC 555 - Retirement and Estate Planning

  • ACC 585 - Fraud Examination and Forensic Investigation

Data Analytics

Required course

  • BT 466 Data Analytics

Complete at least 3 of the following courses

  • MGT 370 Human Centered Design

  • MKT 417 Market Analytics & Research

  • MGT 422 Decision Making

  • MKT 435 Social Media and Network Analysis

  • CS 442 / CPE 442 Database Management Systems

  • CS 546 Web Programming

  • CS 559 Machine Learning: Fundamentals and Applications

  • BIA 568 Management of AI Technologies

  • BIA 660 Web Mining

  • BIA 674 Supply Chain Analytics

  • FA 550 Data Visualization Application

  • FA 595 Financial Technology

  • MIS 401 Deep Learning and Large Language Models for Business Analytics

  • MIS 450 Sports Analytics

Quantitative Methods

Complete at least 4 of the following courses

  • MA 575 Optimization Models in Quantitative Finance OR FA 646 Optimization Models and Methods in Finance

  • FE 610 Stochastic Calculus for Financial Engineers

  • FE 630 Portfolio Theory and Applications

  • FE 621 Computational Methods in Finance

  • FA 541  Applied Statistics with Applications in Finance

  • FA 631 Investment, Portfolio Construction, and Trading Analytics

  • FA 590 Statistical Learning

Computer Science

Complete at least 4 of the following courses

  • BIA 660 Web Mining

  • CS 442 / CPE 442 Database Management Systems

  • CS 546 Web Programming

  • CS 559 Machine Learning: Fundamentals and Applications

  • FE 522  C++ Programming in Finance

  • FA 550  Data Visualization Application

Finance

Required courses

  • FIN 426  Equity Valuation

  • FIN 440 Money, Banking and Financial Institutions

Complete at least 2 of the following courses

  • ECON 454  International Economics and Finance

  • FA 595  Financial Technology

  • FIN 425  Portfolio Management

  • FIN 442 Fixed Income Analysis

  • FIN 526  Private Equity and Venture Capital

Fintech

Complete at least 4 of the following courses

  • FA 590 Statistical Learning OR CS 559 Machine Learning: Fundamentals and Applications

  • FA 591  Blockchain Technologies & Decentralized Finance

  • FA 690  Machine Learning in Finance

  • FA 646 Optimization Models and Methods in Finance OR MA 575  Optimization Models in Quantitative Finance

  • FA 595 Financial Technology

Economics

Complete at least 4 of the following courses

  • ECON 343 Intermediate Macroeconomics

  • ECON 344 Intermediate Microeconomics

  • ECON 436 Game Theory

  • ECON 454- International Economics and Finance

  • MGT 451 Computational Models of Thought and Behavior

  • ECON 401  The Future of Work in the Age of AI

  • ECON 305  Sports Economics

Finance and Business Core
  • ACC 200 Principles in Financial Accounting

  • FIN 321 Corporate Finance

  • MGT 290 Business Career Seminar

  • ECON 242 Economics

  • FIN 510 Financial Statement Analysis

  • MGT 300 Business Communications

  • QF 103 Basic Financial Tools

  • QF 104 Data Management in R

SUCCESS Core

Required:

  • PRV 101 First Year Experience

Frontiers of Technology

Choose 3 elective courses:

  • PRV 201 AI and Machine Learning

  • PRV 202 Data Science and Analytics

  • PRV 203 Biotechnology

  • PRV 204 Sustainability

  • PRV 205 Quantum Technology

Arts and Sciences Core

The arts and sciences core is a distinguishing feature of a Stevens education, and helps students hone talents such as written and oral communication and teamwork, while gaining a broader perspective on the world around them through courses in literature, political science, history and the social sciences.

  • HASS 103 Freshman Writing

  • HASS 105 CAL Colloquium

  • Two Humanities courses - – one upper-level course and one lower-level course

Enhance Your Degree

The School of Business offers a variety of business minors designed to help you further diversify your studies. Please note, as a business student, you cannot receive a minor in the same field as your concentration or major.

Frequently Asked Questions (FAQs)

Can you describe the Quantitative Finance major in one sentence?

The Quantitative Finance undergraduate major combines finance, mathematics, computer science and data analytics to prepare students for highly technical careers in financial markets and financial services.

What type of coursework is incorporated into the Quantitative Finance program?

The Quantitative Finance curriculum has a strong quantitative focus and includes calculus, probability, financial mathematics, programming, data management, financial modeling, derivatives, financial market microstructure, trading and risk management. Students can further specialize through concentrations including finance, fintech, computer science, data analytics, economics, accounting and quantitative methods.

Students also receive extensive hands-on experience in the Hanlon Financial Systems Center and can earn Bloomberg certification beginning in their first year.

Are there student organizations Quantitative Finance students can get involved in?

Quantitative Finance students can participate in the Finance, Investment Banking and Advisory Society, Stevens Student Managed Investment Fund, Stevens Consulting Club, Stevens Women in Business and Phi Beta Lambda, among other organizations.

How can I finish my bachelor’s degree in three years and use the fourth year to earn a master’s degree?

Stevens has developed a three-year bachelor’s degree plan for eligible students who enter with 24 or more college credits earned through AP and dual-enrollment coursework in high school.

With careful academic planning and by applying eligible incoming credits toward degree requirements, students may be able to complete their undergraduate degree in three years and use their fourth year to pursue a master’s degree, creating the opportunity to earn both a bachelor’s and master’s degree in just four years.

What are the outcomes of Quantitative Finance graduates?

Virtually 100% of Quantitative Finance graduates have secured positions on Wall Street and beyond within six months of graduation with an average starting salary of $89,800 for the Class of 2025.

Graduates are prepared for careers in areas such as risk management, investment banking, financial modeling, trading, asset management and quantitative analysis.

Where are Quantitative Finance graduates employed?

Stevens Quantitative Finance alums work throughout the financial industry, including at major Wall Street firms such as Goldman Sachs, UBS, BlackRock, Bank of America, Prudential and JPMorgan Chase, as well as financial technology companies and startups.