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.
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