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MS BIOST DAT - Biostatistics and Data Science (MS)

Program Overview

Department(s)

John D. Bower School of Population Health (School)

Program Level

ACADEMIC_LEVEL_GRADUATE

Program Code

MS BIOST DAT

Learning Outcomes

Name

Efficiently collect, clean, organize, and appropriately analyze biomedical, clinical, and population health data.

Name

Use standard programming languages (R, SAS, Stata and Python) to reproducibly explore and visualize data, fit models, conduct inference, and translate analysis results.

Name

Conduct all facets of big data analysis, including the extraction, storage, manipulation, and analysis of publicly available data, using data science techniques and machine learning.

Name

Adhere to rigorous ethical and methodological standards when analyzing real-world data.

Name

Collaborate with non-statisticians and communicate findings to the scientific and general community to improve health care and prevent disease.

Requisites

Students must successfully complete the prescribed plan of study, meeting a minimum of 38 credit hours beyond a baccalaureate degree, to be eligible for the awarding of a degree.

Year 1 – Fall
BDS 721	Analytics	3
BDS 741	Statistical Inference I	3
BDS 754	Principles of Programming with Python	3
TOTAL TERM HOURS		9
Year 1 – Spring
BDS 706	Ethics in Biostatistics and Data Science Research and Practice	1
BDS 722	Advanced Analytics	3
BDS 723	Statistical Programming with R	3
BDS 763 or BDS 751	Database Systems or Statistical Inference in Genetics*	3
TOTAL TERM HOURS		10
Year 2 – Summer
BDS 797	Biostatistics & Data Science Internship	1
TOTAL TERM HOURS		1
Year 2 – Fall
PHS 703 or MSCI 710	Epidemiology I**	3
BDS 725	Survival Analysis	3
BDS 761	Data Science and Machine Learning 1	3
TOTAL TERM HOURS		9
Year 2 – Spring
BDS 724	Longitudinal and Multilevel Models	3
BDS 765	Data Science and Machine Learning 2	3
BDS 792	Statistical Consulting	3
TOTAL TERM HOURS		9

*Students intending to complete the PhD in Biostatistics and Data Science are advised to register for BDS 751: Statistical Inference in Genetics.

**Students may substitute PHS 703. Epidemiology I for MSCI 710. Epidemiology I in the fall of their second year.

***Electives: In certain cases, the advisor and program director may recommend that students take additional credits.

Electives

BDS 711 – Statistical Methods in Research (3 hours)
BDS 712 – Statistical Methods in Research II (3 hours)
BDS 713 – Intro to Data Management and Programming (3 hours)
BDS 714 – Statistical Methods for Clinical Trials (3 hours)
BDS 715 – Intro to Sample Survey Analyses (3 hours)
BDS 726 – Generalized Linear Models (3 hours)
BDS 727 – Nonparametric Analyses (3 hours)
BDS 728 – Multivariate Analysis (3 hours)
BDS 742 – Statistical Inference II (3 hours
BDS 743 – Theory of Linear Models (3 hours)
BDS 752 – Advanced Statistical Genetics (3 hours)
BDS 753 – Bioinformatics (3 hours)
BDS 762 – Advanced Data Science (3 hours)
BDS 763 – Database Systems (3 hours)
BDS 764 – Data Visualization (3 hours)
BDS 766 – Advanced Computational Methods (3 hours)
BDS 767 – Deep Learning Applications (3 hours)
BDS 791 – Special Topics (1-9 hours)
BDS 793 – Seminar Series: Microtopics (1 hour)
BDS 796 – Directed Research (3 hours)