WPI’s professional MS degree in Industrial Mathematics will prepare you to use sophisticated mathematics to solve increasingly complex problems that arise in business and industry.
Through our rigorous and hands-on program, you will hone your analytic, modeling, and computational skills—and apply them to make in impact in an industry of interest, such as biology, computer science, physics, economics, or engineering.
You will also undertake an industrial project and learn communication and business skills that prepare you to work in multidisciplinary teams and take leadership roles in the corporate world.
Our comprehensive curriculum will give you both the breadth and depth of knowledge needed to become a well-rounded problem solver who is capable of moving from task to task within an organization.
You will build a strong foundation through core courses in numerical methods, modeling, and discrete math. You will also select a 4-course coordinated module that enables you to apply your knowledge to an outside area of interest. Examples of typical modules:
You will hone your professional skills through a master’s seminar focused on topics like writing, presenting, and interviewing, and you will culminate your studies with a professional master’s project.
Through an industrial professional master’s project, you will synthesize and apply your knowledge and skills by tackling—and solving—a real problem arising in your industry of focus. Many students are sponsored by industrial partners from the Center for Industrial Mathematics and Statistics, a unique WPI initiative that builds partnerships between academia and industry.
You will have access to a modern and diverse lineup of computing facilities and software, including state-of-the-art high-performance computing clusters, to carry out your course- and project work.
My main research area of interest is mathematical modeling of problems in scientific and engineering applications. Recent examples include heat transfer properties in patterned liquid-cooled electronics, heat transfer in geothermal energy harnessing applications, and inter-facial pattern formation on thin fluid films and sheets. The mathematical content of these problems focus on, but are not limited to, continuum mechanics, free-boundary problems, nonlinear partial differential equations, and nonlinear differential equations.
I teach many graduate courses in our Financial Mathematics Professional Master’s Program. I particularly love engaging graduate students in areas of financial mathematics; the material is exciting, cutting edge, and fun to apply and relate to current events and states of financial markets. At the undergraduate level, I teach upper-level optimization electives, as well as calculus courses. I enjoy teaching at this level, showing undergraduate students why the mathematics we study is important and relevant. Currently, I am involved in the study of liquidity modeling in mathematical finance.
My professional interests include electromagnetic and multiphysics modeling, scientific computations, and optimization in various interdisciplinary areas involving high frequency electromagnetics. I am particularly interested in applications of microwave power engineering as well as microwave imaging (i.e., non-destructive evaluation and testing of materials from the characteristics of the electromagnetic field). I run the Industrial Microwave Modeling Group (IMMG), which I established in 1999 as a division of WPI’s Center for Industrial Mathematics and Statistics (CIMS).
The demand for mathematicians capable of modeling and simulating emerging technologies is skyrocketing. With their hands-on experience and strong industry connections, our graduates are in high demand and work in wide range of industries:
