Program Overview

Program Details

Degree

Bachelor of Science

School

School of Business

Department

School of Business Undergraduate Studies

Available

On campus

Description

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.

Curriculum

Quantitative Methods Core

• MA 121 / MA 122 Introduction to Calculus / Calculus 1A
• MA 125 / MA 126 Calculus 2A / Calculus 2B
• MA 221 Differential Equations
• MA 225 Vectors and Matrices
• MA 230 Multivariate Analysis & Optimization
• MA 231 Nonlinear Optimization
• QF 112 Statistics for Quantitative Finance
• QF 343 Stochastic Calculus for Financial Applications

Computer Science Core

• CS 115 Introduction to Computer Science
• CS 135 or MA 134 Discrete Math
• CS 284 Data Structures
• CS 385 Algorithms
• MIS 110 Creative Problem Solving in Computing

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.

• QF 101 Introduction to Quantitative Finance I
• QF 102 Introduction to Quantitative Finance II
• QF 200 Financial Econometrics
• 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
• QF 435 Risk Management for Capital Mkts
• 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
• Computer Science
• Data Analytics
• Economics
• Finance
• Fintech
• Quantitative Methods

Finance and Business Core

• ACC 200 Principles in Financial Accounting
• BT 321 Corporate Finance
• BT 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

• 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
• One Science Course

See courses in the Academic Catalog.