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Theory and Methods Track

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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.

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Fall

  • BIO6000 Capstone 1 MS Biostatistics - 1 credit

  • BIO6100 Fundamentals of Epidemiology - 3 credits

  • BIO6300 Introduction to R Programming - 2 credits

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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

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Spring II

  • BIO9000 Capstone 3 MS Biostatistics - 1 credit

  • BIO9100 Survival Analysis - 3 credits

  • BIO9200 Analysis of Longitudinal Data - 3 credits

Required credits 32 Minimum elective credits 2 Total credits 34

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

  • 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.

  • 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

  • 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.

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    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

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    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

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    Spring II

    • BIO9000 Capstone 3 MS Biostatistics - 1 credit

    • BIO9001 Applied Analysis of Healthcare Databases - 3 credits

    • MPH0822 Applied Linear Models 2 - 3 credits

    Required credits 30 Minimum elective credits 4 Total credits 34

    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.

  • 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

  • Curriculum

    Each track in the MS in Biostatistics Program curriculum consists of at least 34 credits which must be completed in one full-time academic year. In addition to coursework, students will complete a capstone project in each term. This section covers the following:

    Theory and Methods Track
    Clinical Applications Track