The M.S. candidate must complete a minimum of 30 normal credit hours of course work designed to fulfill an option in either applied mathematics, mathematics of data science, statistics or biostatistics. Each option includes 15 credit hours of Core Courses. With approval of the graduate program director, up to six of the 30 credits may be chosen from a field of application (e.g. oceanography, ecosystem analysis, computer science, economics, health sciences, operations research, physics and engineering mechanics) in which the student applies analytical and numerical techniques to another discipline. All programs of study must be approved by the graduate program director, and substitutions may be made only with his or her approval.
Concentrations
- Applied Mathematics: Students electing the concentration in Applied Mathematics will pursue course work in advanced mathematical analysis, differential equations, numerical methods, transform methods and data science. They will take electives in other methods of applied mathematics, or in an application area. A Master’s Project will bring them in contact with the research frontier.
- Statistics: Students electing the concentration in Statistics will pursue course work in mathematical statistics, advanced regression analysis including responses surfaces, factorial designs, time series, advanced statistical computing. They will take electives in other areas of statistics and biostatistics. A Modeling Project involving statistical analysis of real-life data is required.
- Biostatistics Concentration: Students electing the concentration in Biostatistics will pursue course work in mathematical statistics, and biostatistical methods including survival analysis, clinical trials, categorical and longitudinal data analysis. They will take electives in other areas of statistics and biostatistics. A Modeling Project involving statistical analysis of biomedical or health care data is required.
- Mathematics of Data Science: Students electing the concentration in Mathematics of Data Science will pursue course work in data science including mathematical statistics, regression and time series analysis, mathematical foundation of machine learning and genome data science. A Master’s Project will bring them in contact to the real world applications.
Admission
An applicant to the master’s program in computational and applied mathematics should have a bachelor’s degree in mathematics, statistics, computer science, or an application area with a strong mathematics component (e.g., physics or engineering). Undergraduate mathematics preparation should include course work in linear algebra, advanced calculus, differential equations, probability, real analysis, and numerical methods. Undergraduate averages of 2.80 overall (4.00 scale) and 3.00 in the major and related mathematics courses are required.
A student who does not fully meet all requirements for admission as a regular graduate student may be allowed, with permission of the program director, to enroll as a provisional graduate student. Students lacking adequate preparation will be required to make up their deficiencies by taking appropriate undergraduate courses in addition to those specified for the master’s program.
A formal application form, official transcripts, and two letters of recommendation should be forwarded to the Office of Admissions.
The following material should be mailed directly to the director of the graduate program in computational and applied mathematics, Department of Mathematics and Statistics: a list of all mathematics courses taken and other courses closely allied to the applicant’s primary interests in applied math or statistics along with the texts used (titles and authors), chapters studied or topics covered, and grades. This information should be enclosed with the financial aid application (if the applicant is submitting one).
Students may enroll in the program on either a full-time or part-time basis. Courses are offered on a regular basis during the late afternoon and early evening hours which allows part-time students to obtain master’s degrees or post-master’s graduate credit.
Additional Requirements
Master’s Project Requirement
The M.S. candidate will be assigned to a faculty advisor for a master’s project. Each student will enroll in MATH 632, STAT 632 and BDA 632 to complete his/her project. The master’s project is designed not only to broaden students’ analytical competency but also to enhance students’ writing and reporting skills on a technical subject.
Colloquium Requirement
In order to develop an appreciation for the breadth of contemporary research in applied mathematics and statistics, all M.S. candidates will attend at least 80% and succinctly summarize and evaluate in writing at least eight professional seminars given by research faculty or external seminar visitors. The Richard F. Barry Colloquium Series is run by the department throughout the academic year. The department also conducts seminars jointly with other departments.
