Applied Mathematics Master's Program
Both established companies and startups are actively seeking experts in applied mathematics who can formulate and solve problems on a global scale. You are well-positioned with an Applied Mathematics Master’s degree from Stevens.
The applied mathematics master’s program prepares you for careers in science, engineering and business where advanced methods in differential equations, nonlinear optimization, statistics, and computational mathematics play a significant role in technology development and innovation.
Leverage one of our three concentrations for a deep understanding in either differential equations, optimization of stochastic systems, or data science, giving you an edge in careers at the interface between mathematics and applications in science, engineering and business — or a launchpad for a future Ph.D.
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
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
Applied Mathematician
Further studies in Ph.D. programs
Our graduates are been hired at companies like: 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 modeling, 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
Applied Mathematics Program Facts & Statistics
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