Applied Mathematics Master's Program
Both established companies and startups are actively seeking experts in applied mathematics who can help deconstruct and solve problems on a global scale. Get on their recruiting radar with an applied mathematics master’s degree from Stevens.
Here, you’ll gain skills in a curriculum deeply rooted in mathematical foundations like differential equations, nonlinear optimization, statistics and computational mathematics. Those courses are complemented by Stevens’ nationally recognized offerings in engineering, science and business. In addition, you’ll pursue research activities that provide both real-world value and assets for your portfolio, setting you apart on the job market. Stevens’ applied mathematics master’s graduates go on to pursue a range of career paths, including as data scientists, investment analysts and R&D engineers. They work at large companies like Facebook and Honeywell, as well as leading universities such as Yale and the University of North Carolina.
The Stevens Advantage
Stevens’ Hoboken, N.J., location places students just across the river from Manhattan, home to the corporate headquarters for many large companies and a thriving tech startup community. From financial services to pharmaceuticals to next-generation tech, these employers constantly seek highly skilled talent and often turn to Stevens as a source for new hires.
More Advantages to our Program
Customizable curriculum
Independent study available
Interdisciplinary electives options
Research credit available
Thesis and non-thesis options
Coursework for strong mathematical foundation
Concentrations
Differential Equations
Optimization of Stochastic Systems
Data Science
We welcome applicants with strong analytical skills who can thrive in fast-paced, quickly changing industries. You may apply with an undergraduate degree in mathematics, applied mathematics, statistics, physics or engineering. Experience and/or proficiency with quantitative finance, financial engineering or financial mathematics is preferred.
Bachelor’s degree, with a minimum GPA of 3.0, from an accredited institution
Official college transcripts
Two letters of recommendation
A statement of purpose
TOEFL/IELTS scores (for international students)
A competitive GRE or GMAT score*
*GRE/GMAT is not required for part-time students.
For information about fellowships and assistantships, contact Graduate Admissions. Contact >
Putting You on Track for Professional Success
The applied mathematics master's program develops in-demand knowledge and skills to put you on track for career success in a variety of roles like:
Research Scientist
Data Scientist
Operations Researcher
Quantitative Analyst
Investment Analyst
Finance Analyst
Research and Development Engineer
Modeling Engineer
Our graduates have been hired at: Facebook, Honeywell, Humboldt University, Rutgers University, University of North Carolina, Yale University
A Tech Forward Education
Department Chair Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles.
Michael Zabarankin, Department Chair
Mathematical Sciences Faculty
Darinka Dentcheva is an expert researcher in stochastic optimization and control using mathematical models of risk analysis and their applications in decision making under uncertainty.
Darinka Dentcheva
Mathematical Sciences Faculty
Xiaohu Li researches applied probability, mathematical statistics, dependence modelling, stochastic order, actuarial risk, and reliability.
Xiaohu Li
Mathematical Sciences Faculty
Professor Pavel Dubovski is an expert in inverse problems and kinetics of particle coagulation.
Pavel Dubovski
Mathematical Sciences Faculty
Department Chair Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles.
Michael Zabarankin, Department Chair
Mathematical Sciences Faculty
Darinka Dentcheva is an expert researcher in stochastic optimization and control using mathematical models of risk analysis and their applications in decision making under uncertainty.
Darinka Dentcheva
Mathematical Sciences Faculty
Stevens Prepares You For A Great Career
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