The Master of Science Degree in Mathematics with Specialization in Applied and Computational Mathematics
The MS in applied and computational mathematics is a Master’s program aimed at providing the graduate with the skills needed to deal with problems which typically arise in business and industrial situations.
The program is based on the following components:
- Computing skills
- Modeling
- Statistical tools
- Project development and communication ( MATH 633 )
- Area of specialization
Degree Requirements
General Requirements- A minimum of 35 credit hours of course work
- Math courses at the 300 level and below will not be counted towards the 35 hour requirement
- A minimum of 24 credit hours taken on campus
- A minimum of 9 of the 35 credit hours taken in an outside area
- 6 hours of course work taken outside the department must be at the 600 level or above.
- A minimum of 18 hours of coursework in mathematics at the 500 level or above (excluding MATH x99 and MATH 530)
- The Seminar requirement must be satisfied – a maximum of 2 credits may be counted toward the 35 credit hour degree requirement
- At most 1 hour of MATH 584 (Supervised College Teaching) may be counted towards the 35 credit hour requirement
Other Course Requirements
- Computing Skills
- MATH 561
- MATH 550
- MATH 651
- MATH 652
- MATH 750
- MATH 751
- MATH 510
- MATH 520
- MATH 625
- MATH 620
- MATH 621
- GRAD 510
- GRAD 511
- Modeling
- MATH 531
- MATH 532
- MATH 750
- MATH 751
- CIVE 631
- CIVE 633
- ATS 601
- ATS 602
- Statistical Skills
- Project Development and Communication: MATH 633 Industrial and Applied Mathematics
- Developing an innovative solution to an industrial problem.
- Participating in and leading classroom discussions on the problem.
- Working in student teams on project components including brainstorming, problem formulation, coding and workplan development.
- Preparation of a final project report detailing the student's contribution to the project.
- Area of Specialization
- MATH 517-617, 517-519
- MATH 561-651
- MATH 560
- MATH 550-652
- MATH 750-751
- MATH 545-546
- MATH 540-640, 540-641
- MATH 510-520
- MATH 620-621
- MATH 501-502, 601-602
Each student must demonstrate the ability to work in a professional programming language (e.g., C++, Java, C, FORTRAN). Several of the courses in the Department of Mathematics and some of the courses from related areas include a significant computing component. In these courses, the students will execute their assignments in an appropriate computer language. Introductory courses in programming languages are available for students having no previous programming skills.
Each student is required to complete a total of four computational courses. Mathematics courses which may be used to satisfy this condition include the following:
Numerical Analysis
Optimization
Mathematical modeling is the term used to refer to the process of formulating in mathematical context a problem arising in some area of applications. Each student is required to complete at least two one-semester courses in modeling. Mathematics courses which may be used to satisfy this condition include the following:
Examples of courses outside the Department of Mathematics which could be used to satisfy this requirement include:
Students are required to complete at least 6 credit hours in statistics. There are a large variety of courses offered by the Statistics Department and students should seek the advice of their faculty advisor in making a selection. With special approval of the graduate committee, the student may be excused from this condition by courses taken in the undergraduate program. In this case the undergraduate hours may not be counted toward the 35 hour total.
Students will have the opportunity to develop problem solving and communication skills as part of MATH 633. The core requirements of this course include:
The plan A/B paper can be based on the subject matter from this course. The final examination can be based on the evaluation of the final project report written by the student. As part of the exam, each student will submit to his/her committee a written report detailing their role in the project.
Each student will design a program containing at least one area of specialization. An area of specialization consists of at least two related courses, not necessarily from within the Department of Mathematics. Selections from within the Department of Mathematics that would serve to fulfill this condition include
Course selections from outside the Department of Mathematics that would serve to fulfill this condition could be chosen, for example, from course offerings in any of the following areas: Statistics, Computer Science, Atmospheric Science, Fluid Dynamics, Hydrology and Ground Water Engineering, Electrical Engineering.
Final Project and Examination
Same requirements as for the MS in Mathematics.