Theory and Methods Track
Theory and Methods Track
Students are expected to take a total of five required courses (12 credits) in the Fall Term, five required courses (13 credits) in the Spring I Term, and three required courses (7 credits) in the Spring II Term. In addition to the 32 credits of required coursework, students must take at least two clinical research-related elective credits, yielding the 3-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.
Fall
BIO6000 Capstone 1 MS Biostatistics - 1 credit
BIO6100 Fundamentals of Epidemiology - 3 credits
BIO6300 Introduction to R Programming - 2 credits
BIO6400 Biostatistics for Biomedical Research - 3 credits
BIO6500 Probability and Inference 1 - 3 credits
CLR1010 Clinical Trials Management (elective) - 1 credit
BDS1005 Computer Systems: UNIX/LINUX Fundamentals (elective) - 1 credit*
BDS1006: Computer Systems: Architecture & Applications (elective) - 1 credit*
BDS1007: Computer Systems: Introduction to Scientific Programming Python 3 (elective) - 1 credit *Must seek course director's approval prior to registering
Spring I
BIO8000 Capstone 2 MS Biostatistics - 1 credit
BIO8200 Analysis of Categorical Data - 3 credits
BIO8400 Advanced Statistical Methods in Clinical Research - 3 credits
BIO8500 Probability and Inference 2 - 3 credits
BIO8700 Theory of Linear and Generalized Linear Models - 3 credits
CLR0700 Professionalism & Ethics in Clinical Research (elective) - 2 credits
CLR1113 Application of Translational Research Oncology (elective) - 3 credits
BDS2005 Introduction to Algorithms (elective) - 3 credits*
BSR2400 Lessons in Scientific Publishing (elective) - 1 credit
MPH0105 Health Economics (elective) - 3 credits
CLR0810 Genetic Epidemiology (elective) - 3 credits *Requires some prior knowledge of a CS-style programming language in addition to R/Python. Must seek course director’s approval prior to registering.
Spring II
BIO9000 Capstone 3 MS Biostatistics - 1 credit
BIO9100 Survival Analysis - 3 credits
BIO9200 Analysis of Longitudinal Data - 3 credits
BIO9001 Applied Analysis of Healthcare Databases (elective) - 3 credits
MPH0414 Cardiovascular Epidemiology (elective) - 3 credits
CLR0207 Culture, Illness & Community Health (elective) - 1 credit
CLR1114 Translational Oncology: Drug Development (elective) - 1 credit
Required credits 32 Minimum elective credits 2 Total credits 34
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