Applied Mathematics & Statistics, and Scientific Computation, Master of Science (M.S.)
Students must complete 30 credits of coursework in one of the three areas of concentration. All three concentrations offer both thesis and non-thesis options.
Students choose from one of the following concentrations:
APPLIED MATHEMATICS
| Course | Title | Credits |
|---|---|---|
| Thesis Option - 30 credits | ||
| Numerical Analysis course (course options below; other courses must be approved by director) | 3 | |
| Scientific Computing I | ||
| Scientific Computing II | ||
| Advanced Scientific Computing I | ||
| Advanced Scientific Computing II | ||
| Numerical Analysis I | ||
| Numerical Methods For Stationary PDEs | ||
| Numerical Methods for Evolution Partial Differential Equations | ||
| Advanced Linear Numerical Analysis | ||
| Advanced Numerical Optimization | ||
| Additional courses with primarily math content | 9 | |
| AMSC799 | Master's Thesis Research | 6 |
| Application Area courses | 6 | |
| Applied Math or appropriate seminar | 1 | |
| Additional coursework | 5 | |
| Non-thesis Option - 30 credits | ||
| Numerical Analysis course (course options below; other courses must be approved by director) | 3 | |
| Scientific Computing I | ||
| Scientific Computing II | ||
| Advanced Scientific Computing I | ||
| Advanced Scientific Computing II | ||
| Numerical Analysis I | ||
| Numerical Methods For Stationary PDEs | ||
| Numerical Methods for Evolution Partial Differential Equations | ||
| Advanced Linear Numerical Analysis | ||
| Advanced Numerical Optimization | ||
| Additional courses with primarily math content | 12 | |
| Application Area courses | 6 | |
| Applied Math or appropriate seminar | 1 | |
| Additional coursework | 8 | |
| Pass the Qualifying Exam requirement | ||
Mathematics Written Qualifying Exam | ||
Application Area Qualifying Exam | ||
Math coursework sequence qualifying exam | ||
| Submit a Scholarly Paper | ||
Applied Statistics
Thesis option requires 25 credits of coursework including 18 credits of statistics core courses, six credits in an application area, and one credit of seminar. Students are also required to complete six credits of AMSC799.
Non-thesis option requires 33 credits of coursework including 18 credits of statistics core courses, six credits in an application area, six credits of electives, two credits of seminar, and one credit of AMSC762. Students are also required to pass three qualifying exams, and submit a scholarly paper.
Scientific Computation
| Course | Title | Credits |
|---|---|---|
| Thesis option - 30 credits | ||
| Scientific computing core courses | 6 | |
| CMSC616 | Foundations of Parallel Computing (Formerly CMSC818X) | 3 |
| Core science courses | 6 | |
| Scientific computing application courses | 3 | |
| Elective courses | 6 | |
| AMSC799 | Master's Thesis Research | 6 |
| Non-thesis Option - 30 credits | ||
| Scientific computing core courses | 6 | |
| CMSC616 | Foundations of Parallel Computing (Formerly CMSC818X) | 3 |
| 6 credits from the following courses: | 6 | |
| Numerical Methods For Stationary PDEs | ||
| Numerical Methods for Evolution Partial Differential Equations | ||
| Advanced Topics in Applied Mathematics (AMSC808N Numerical Methods for Data Science and Machine Learning) | ||
| Advanced Linear Numerical Analysis | ||
| Advanced Numerical Optimization | ||
| Core science courses | 6 | |
| Scientific computing application courses | 3 | |
| Elective courses | 6 | |
| Students must also submit a scholarly paper. | ||