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MS in Statistics: Biostatistics

This track is recommended for students interested in design and analysis of biomedical studies, including pharmaceutical clinical trials. The program is a joint undertaking of the Department of Mathematics and Statistics at UMBC and the Department of Epidemiology and Preventive Medicine at the University of Maryland, Baltimore. Applicants to the program are expected to have had courses in multi-variable calculus, linear algebra and introductory courses in statistics.

One of the key features of this program constitutes a CAPSTONE project in biostatistics under the direction of a faculty member in the department or under the joint direction of a faculty member in the department and an expert in this area from outside the department. The work should include sophisticated data analysis, a simulation study, a review of literature, statistical software development or other activities related to biostatistics. The project must result in a report of 10-15 pages. The student will register for the project as STAT 699 or as PREV 789 depending on whether the faculty advisor is at UMBC or at UMB.

There are a number of course offerings at both schools that would be relevant to the degree and recommended through advising. This would include up to two 400-level statistics courses at the consultation and approval of the student's advisor. Students are required to take at least one elective course at UMB. Students are required to attend a monthly biostatistics seminar.

To serve students' varying range of backgrounds and goals, the department has instituted several "tracks" within its master's degree programs. Each track defines a set of well-focused graduation requirements. Students who intend to continue to the doctoral programs should consider the traditional tracks in applied mathematics or statistics. A student whose final goal is a master's degree should consider the industrial track in applied mathematics or the applications-oriented track in statistics. Most graduate courses are offered in the late afternoon or in the evening to enable the participation of those who hold fulltime employment.

MS Stat:
Graduate Catalog: Applied Math
Graduate Catalog: Stat
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