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MS Emphasis in Statistical Genomics and Genetics

Special designation for students pursuing an MS in Biostatistics.


There is a new emphasis within the Biostatistics MS degree program in Statistical Genomics and Genetics. An "emphasis" is a small, optional grouping of courses designed to provide context for the MS degree on a certain topic.

This topic has become very popular within the field of biostatistics and a strength in our program. In the last 10 years, we have had over 15 students who have specialized in this research area, but without formal recognition. With this new emphasis, students pursing the MS Biostatistics program will have an official designation for the emphasis, which will help with employment and other opportunities.

Eligibility

MS students and PhD students who are in the process of obtaining a MS degree are eligible. It is best to plan out the emphasis starting the first year to ensure timely graduation.

Requirements

  1. Take 8 credits of electives from a list of courses related to statistical genetics/genomics. At most 4 credits may be from an outside department. These 8 credits are 3 more than the 5 required for the MS, due to the additional emphasis requirements.
  2. Write a thesis or publishable paper with a focus on Statistical Genomics and Genetics.

Timeline

The Biostatistics MS degree is designed to be completed in two academic years. Although the emphasis requires three additional credits for the specialization, the degree can still be completed within two years assuming students take courses over the summer. See an example timeline below (individual cases and offerings every year will vary).

Year 1 Fall

BIOS 6611 (3 credits)

BIOS 6631 (3 credits)

BIOS 6621 (1 credit)

CSPH Required PH (1 credit)

Year 1 Spring

BIOS 6612 (3 credits)

BIOS 6632 (3 credits)

BIOS 6622 (1 credit)

MS Emphasis Elective (1-4 credits)

Year 1 Summer

PUBH 6600 (2 credits)

Year 2 Fall

BIOS 6623 (3 credits)

BIOS 6643 (3 credits)

MS Emphasis Elective (1-4 credits)

Year 2 Spring

MS Emphasis Elective (1-4 credits)

EPID 6630 (3 credits)

MS Thesis/Research Paper (2 credits)

Year 2 Summer

MS Thesis/Research Paper (2 credits)

List of currently accepted classes for electives:
Course Number Course Title Credits Course Director Delivery Method
BIOS 6655 Statistical Methods in Genetic Association Studies 3 Fingerlin Inclass - variable term & years
BIOS 6660 Analysis of Genomics Data using R and Bioconductor 3 Phang Inclass - variable term & years
BIOS 6640 Python and R programming in Data Science 3 Ghosh Inclass - variable term & years
BIOS 7659 Statistical Methods in Genomics 3 Kechris Inclass - variable term & years
BIOS 7716 Topics in Statistical Genetics 1 Lutz Inclass - variable term & years
MATH 7826 Topics in Probability and Statistics: Methods in Statistical Genetics 3 Santorico & Hendricks New class - frequency TBD
EPID 7640* Genetic Epidemiology 2 Sontag Inclass - spring, odd years
CPBS 7711* Methods and Tools in Biomedical Informatics 4 Hunter Inclass - every fall
CPBS 7630* Computational Methods for Addressing Big Data Challenges in Biomedicine I 3 Costello Inclass - variable term & years
HMGP 7600* Graduate Survey of Human Genetics 3 Spritz Inclass - every spring

* At most 4 credits can be taken from an outside program

Not all courses above are offered every year, for academic year 2015-2016, here are the possible options:

Fall 2015
  • BIOS 6660 (3 credits) Analysis of Genomic Data using R and Bioconductor
  • MATH 7826 (3 credits) Topics in Probability and Statistics: Methods in Statistical Genetics
  • CPBS 7711* (4 credits) Methods and Tools in Biomedical Informatics
Spring 2016
  • BIOS 6640 (3 credits) Python and R programming in Data Science
  • CPBS 7630* (3 credits) Computational Methods for Addressing Big Data Challenges in Biomedicine I
  • HMGP 7600* (3 credits) Graduate Survey of Human Genetics

Please confirm with the program directors about your schedule and emphasis electives!

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