MS in Applied and Computational Mathematics
This research-oriented program presents you with a unique opportunity to conduct high quality research on problems of significant impact in applied sciences.
Research
Applied mathematics encompasses few of the most diverse and interdisciplinary research in sciences and engineering. It applies theoretical concepts from mathematics to real life problems in aerodynamics, hydrodynamics, mathematical biology, optimizations, traffic flows, among others.
Some of the ongoing projects include research on modeling pollutant transport in the ocean, combining mathematical models and data such as ocean color and sea surface temperature, and the simulation of tsunami waves and river floods and inundations in addition to the propagation/spread of contaminants in water. Other research studies include the application of Nonsmooth Analysis, which is a new analysis subject that appeared at the beginning of the 1970’s, in two contexts: that of generalized solutions of the H-J equation, and that of the boundary geometry of closed sets.
The program offers you the opportunity to collaborate with researchers from other schools on interdisciplinary projects. You will also have access to equipment, including high performance clusters and cloud computing tools, in addition to simulation tools and software.
Why Choose Our Program?
- A high-level education
- Advanced research experience and skills
- Solid foundation in various fields of applied mathematics
- Exposure to research in applied fields
- Exposure to high performance and scientific computing
- Connections with researchers in North America and Europe
Your Career
An MS in ACM offers you many opportunities, with the growing demand for the automation and digitalization of almost every sector:
- Teaching positions in academia
- Positions in industry including banking and finance and high-tech start-ups
- Positions in research labs locally, regionally, and abroad.
- Pursuing PhD studies in applied mathematics or other related fields.
Alumni Stories
Samara Chamoun - ACM alumna and PhD student at Michigan State University
“The ACM program gave me a remarkable experience in three different aspects: courses, research and teaching … Because of it, I am now a full time PhD student (with a teaching assistantship) at Michigan State University, one of the top 100 universities in the world.
What makes it different than the usual applied mathematics programs is the computational mathematics component. Fields like mathematical biology and optimization are very demanded fields in the world of science and they create diverse job opportunities.”
Who Can Apply?
Applicants to the MS in Applied and Computational Mathematics Program should hold a BS degree in Mathematics, Computer Science, Physics, Engineering, or other related fields. Non-Math majors may have to take some undergraduate Mathematics remedial courses in order to join the MS program. The remedial courses are prescribed on a case-by-case basis, however a minimal knowledge in Real, Differential, and Functional analysis is expected.
Curriculum
Graduation requires 30 credits:
- Graduate Courses (24 credits)
Students can choose between the following two tracks:
- Thesis (6 credits)
OR
- Project (3 credits) plus one additional graduate course
Core requirements (6 credits)
Elective ACM Courses: 18 credits
| Number | Course | Cr |
| ACM701 | Measure Theory and Functional Analysis | 3 |
| ACM702 | Ordinary and Partial Differential Equations | 3 |
| ACM711 | Numerical Methods for Partial Differential Equations | 3 |
| ACM712 | Finite Element Methods | 3 |
| ACM713 | Numerical Linear Algebra | 3 |
| ACM714 | Parallel Programming | 3 |
| ACM715 | Mathematical Biology | 3 |
| ACM721 | Nonsmooth Analysis and Applications | 3 |
| ACM722 | Nonsmooth Optimal Control | 3 |
| ACM723 | Calculus of Variations | 3 |
| ACM724 | Linear Programming | 3 |
| ACM725 | Non-Linear Programming | 3 |
| ACM726 | Integer Programming | 3 |
| ACM727 | Mathematical Methods for Applied Economics | 3 |
| ACM788 | Advanced Topics in Applied and Computational Mathematics | 3 |