The BTBBR program is a challenging program through which students
are prepared to "hit the ground running" as collaborators with
researchers on the frontiers of biomedical science.
The BTBBR program is built upon the foundation of the PhD program
in the Department of
Biostatistics, Bioinformatics and Epidemiology at MUSC.
Additionally the BTBBR program incorporates both didactic and
laboratory training in the biomedical sciences. This biomedical
sciences training is drawn from the established Common First Year Core
Curriculum in the College of Graduate Studies. The program of
study can be tailored to the interests of the student via
selection of laboratory rotations and electives in the
Biostatistics PhD program.
The tables below illustrate sample study programs for students
entering with and without an MS degree in Statistics or
Biostatistics.
Further information regarding the program may be obtained by
contacting the Director, Dr. Elizabeth H. Slate
(SlateEH@musc.edu), in the Department of Biostatistics,
Bioinformatics and Epidemiology.
Table
Sample
Plan of Study for Students Entering Without MS degree in
Statistics/Biostatistics
Year
FALL
SPRING
SUMMER
1
Biostat Methods I (BMTRY 700/5sh)
Biostat Methods II (BMTRY 710/4sh)
Nonparametrics (BMTRY 704/3sh)
Statistics Theory I (BMTRY 706/3sh)
Statistics Theory II (BMTRY 707/3sh)
TimeSeries (3 sh)
Introduction to Epidemiology (BMTRY 736/3sh)
Categorical Analysis (BMTRY
711/3sh)
Introduction to Bioinformatics (BMTRY 7xx/2sh)
Principles of Computing and Algorithms for Bioinformatics (BMTRY 701/3sh)
BASIC EXAM
Essentials of Scientific Practice I
(CGS 710/1sh)
2
Foundations of Biomedical Sciences I (CGS 701/10sh)
Foundations of Biomedical Sciences II (CGS 702/7sh)
Principles of Computing and Algorithms for Bioinformatics (BMTRY 701/3sh)
ADVANCED EXAM
3
Research (BMTRY 890):Research proposal preparation
Survival Analysis
(BMTRY 722/3sh)
Research
Machine Learning and Data Mining (BMTRY
789/3sh)
Sequence Analysis and Genome Annotation
(BMTRY 789/3 sh)
4-5
Research and dissertation preparation
Dissertation preparation
and defense
1Coursework completed as part of MS
degree will vary (e.g. MS student likely to have had Linear Models, Nonparametrics,
Adv ANOVA/Reg; other electives in biostatistics/bioinformatics or CGS
selectives will be substituted in the above if listed courses were completed
prior to entry into the BTBBR program.