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BTBBR Training Program

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)

Time  Series (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)

Essential Scientific Practices II:  Scientific writing (CGS 712/2sh)

 

Unanswered Questions

(CGS 760/1sh)

Laboratory Rotation I,II

(CGS 720/2sh)

Laboratory Rotation III,IV

(CGS 721/2sh)

 

Machine Learning and Data Mining (BMTRY 789/3sh)

Unanswered Questions

(CGS 760/1sh)

Predissertation research (BMTRY 970/3 sh) or CGS selective

 

 

Sequence Analysis and Genome Annotation (BMTRY 789/3 sh)               

 

 

 

 

 

3

Multivariate Analysis (BMTRY 726/3sh)

Survival Analysis (BMTRY 722/3sh)

ADVANCED EXAM

 

Linear Models (BMTRY 714/3sh)

Stochastic Processes (BMTRY 718/3sh)

Models in Biology and Medicine  (BMTRY 760/3sh)

 

Biochemical Systems Analysis (BMTRY 775/3sh)

Bayesian Methods (BMTRY 719/3sh)

Research: Selection of research topic

 

 

 

 

 

Predissertation research (BMTRY 970/4 sh) or CGS selective

Predissertation research (BMTRY 970/3 sh) or CGS selective

 

 

 

 

 

4

Research:Research proposal preparation

Research

Research

 

 

 

Lab rotation in biological co-mentor’s lab

 

 

 

 

5-6

Research and dissertation preparation

Dissertation preparation and defense

 

 

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Table

 

Sample Plan of Study for Students Entering With MS degree in Statistics/Biostatistics1

 

Year

FALL

SPRING

SUMMER

1

Foundations of Biomedical Sciences I (CGS 701/10sh)

Foundations of Biomedical Sciences II (CGS 702/7sh)

Essential Scientific Practices II:  Scientific writing (CGS 712/2sh)

 

Essentials of Scientific Practices I

(CGS 710/1sh)

Laboratory Rotation I, II

(CGS 720/3sh)

Laboratory Rotation III, IV

(CGS 721/2sh)

 

Unanswered Questions

(CGS 760/1sh)

Unanswered Questions

(CGS 760/1sh)

Time Series (3sh)

 

Introduction to Bioinformatics (BMTRY 789/2sh)

Models in Biology and Medicine (BMTRY 789/3sh)

 

 

 

 

 

2

Linear Models

(BMTRY 714/3sh)

Categorical Analysis

(BMTRY 711/3sh)

Nonparametrics

(BMTRY 704/3sh)

 

Multivariate Analysis

(BMTRY 726/3sh)

Bayesian Methods

(BMTRY 719/3sh)

Adv ANOVA/Reg

(BMTRY 702/3sh)

 

Introduction to Epidemiology

(BMTRY 736/3sh)

Stochastic Processes (BMTRY 789/3sh)

 

 

Biochemical Systems Analysis (BMTRY 775/3sh)

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.

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