# Clinical Applications Track

Students are expected to take a total of five required courses (11 credits) in the Fall Term, five required courses (12 credits) in the Spring I Term, and four required courses (7 credits) in the Spring II Term. In addition to the 30 credits of required coursework, students must take at least three clinical research-related elective credits, yielding the 34-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**
* **BIO6400 Biostatistics for Biomedical Research - 3 credits**
* **BIO6500 Probability and Inference 1 - 3 credits**
* **CLR6100 Clinical Trial Management - 1 credit**
* BIO6300 Introduction to R Programming - 2 credits
* BDS1005 Computer Systems: UNIX/LINUX Fundamentals - 1 credit\*
* BDS1006 Computer Systems: Architecture & Applications - 1 credit\*
* BDS1007 Computer Systems: Intro to Scientific Programming Python - 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**
* **BIO8700 Theory of Linear & Generalized Linear Models - 3 credits**
* **BIO8400 Advanced Statistical Methods in Clinical Research - 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**
* **BIO9001 Applied Analysis of Healthcare Databases - 3 credits**
* **MPH0822 Applied Linear Models 2 - 3 credits**
* BIO9002 Race and Causal Inference Seminar (elective) - 2 credits
* CLR0011 Research Grant Writing (elective) - 1 credit
* CLR1114 Translational Oncology: Drug Development (elective) - 1 credit
* CLR0207 Culture, Illness & Community Health (elective) - 3 credits
* MPH0414 Cardiovascular Epidemiology (Elective) - 3 credits

                                                                                  **Required credits                       30**\
                                                                                      **Minimum elective credits      4** \
&#x20;                                                                                     **Total credits                               34**<br>