Biostatistics Concentration

The Biostatistics concentration teaches you to apply statistical reasoning and methods to the analysis of public health, health care, and biomedical, clinical and population-based data.

You’ll apply descriptive and inferential methodologies to answer research questions and harness the concepts of probability, random variation and commonly used statistical probability distributions. You’ll learn to implement and interpret the appropriate analytic methods or methodological alternatives to calculate key measures of association in public health research studies.

 

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Key Skills
Professional Development
Learn More about Biostatistics
Degree Requirements and Full-Time Sequence
Biostatistics Requirements Checklist (2018)
Biostatistics Requirements Checklist (2017)

Key Skills

When you graduate with the Biostatistics concentration, you’ll be prepared to take on leadership roles in public health settings around the globe. You’ll stand out to employers with a skillset that has both breadth and depth, including the following competencies.

  1. Apply descriptive and inferential methodologies according to the type of study design for answering a particular research question.
  2. Harness basic concepts of probability, random variation and commonly used statistical probability distributions.
  3. Distinguish among the different measurement scales and the implications for selection of statistical methods to be used based on these distinctions.
  4. Implement the appropriate analytic methods for calculating key measures of association.
  5. Understand and apply ethical principles to data acquisition, management, storage, sharing, and analysis.
  6. Interpret results of statistical analyses found in public health research studies.
  7. Utilize relevant statistical software for data analysis.

Download the PDF Concentration Fact Sheet

Professional Development

You will benefit from countless opportunities to build skills and experience to prepare you for successful careers in public health and biostatistics. Learn more about the professional development opportunities available to you at NYU GPH, including internships, fellowships, employment, volunteer opportunities, professional association membership, and more.

 

Biostatistics Course Checklist

The Biostatistics checklist outlines the requirements for the concentration, as well as which core and concentration courses have pre-requisites. Use this tool as you move along in the program to help keep track of the courses you’ve taken, as well as what’s up next.

All students in the Biostatistics concentration take the following core courses (18 credits).

Students who matriculated prior to 2018 can find their degree requirements here.

GPH-GU 2106 Epidemiology (3)
GPH-GU 2110 Health Care Policy (1.5)
GPH-GU 2112 Public Health Management and Leadership (1.5)
GPH-GU 2140 Global Issues in Social and Behavioral Health (3)
GPH-GU 2153 Global Environmental Health (3)
GPH-GU 2190 Essentials of Public Health Biology (3)
GPH-GU 2995 Biostatistics for Public Health (3)
GPH-GU 5171 Global Health Informatics Workshop (0)
GPH-GU 5175 Readings in the History & Philosophy of Public Health I (0)
GPH-GU 5180 Readings in the History & Philosophy of Public Health II (0)
GPH-GU 5185 Readings in the History & Philosophy of Public Health III (0)

 

All students in the Biostatistics concentration must take the following courses (15 credits):

GPH-GU 2286 Introduction to Data Management and Statistical Computing (3)
GPH-GU 2480 Longitudinal Analysis of Public Health Data (3)
GPH-GU 2353 Regression I: Linear Regression and Modeling (3)
GPH-GU 2354 Regression II: Categorical Data Analysis (3)
GPH-GU 2387 Survey Design, Analysis, and Reporting (3)

All students in the Biostatistics concentration must take 10 credits of electives as follows:

Group A Electives: Methods (choose 3 credits)
GPH-GU 2355 Analysis of Epidemiologic Data Using SAS (3)
GPH-GU 5240 Budgeting for Sustainable Health Returns on Investment (3)
GPH-GU 5380 Data-Driven Decision-Making in Global Public Health (3)
GPH-GU 2375 Estimating Impacts of Policy Research (3)
URPL-GP 2618 Geographic Systems & Analysis (3)
GPH-GU 2450 Intermediate Epidemiology (3)
GPH-GU 2152 Introduction to Agent-Based Modeling (3)
GPH-GU 2323 Pharmacoepidemiology (3)
GPH-GU 2361 Research Methods in Public Health (3)
PADM-GP 4114 Surveys and Interviews (1.5)

Group B Electives: Statistics (choose 7 credits)
GPH-GU 2368 Applied Survival Analysis (3)
PHDSW-GS 3070 Advanced Structural Equation Modeling (3) (pre-req: PHDSW-GS 3069)
APSTA-GE 2011 Classification & Clustering (2) (pre-reqs: APSTA-GE 2003 and APSTA-GE2152 or equivalent R experience)
APSTA-GE 2012 Causal Inference (3) (pre-req: APSTA-GE 2004)
APSTA-GE 2094 Confirmatory Factor Analysis & Structural Equation Modeling (3) (pre-req: APSTA-GE 2003)
APSTA-GE 2044 Generalized Linear Models and Extensions (2) (pre-req: APSTA-GE 2003)
APSTA-GE 2013 Missing Data (2) (pre-req: APSTA-GE 2011)
APSTA-GE 2040 Multilevel Models: Growth Curve (2) - AND - APSTA-GE 2041 Practicum in Multi-level Models (1) - note: students must earn a minimum of an A- in GPH-GU 2353/2354 in order to be eligible for these two courses.
APSTA-GE 2352 Practicum in Statistical Computing (1-2)
PHDSW-GS 3069 Structural Equation Modeling (3)

 

The culminating experience for students in the Biostatistics concentration consists of:

1) a minimum of 180 hours of a practice experience, completed prior to Thesis I, and 2) a two-semester MPH thesis.

GPH-GU 2686 Thesis I: Practice and Integrative Learning Experiences (2)
GPH-GU 2687 Thesis II: Practice and Integrative Learning Experiences (2)

Year 1:

Fall semester (12 credits)

GPH-GU 2106 Epidemiology (3)
GPH-GU 2995 Biostatistics for Public Health (3)
GPH-GU 2140 Global Issues in Social & Behavioral Health (3)
GPH-GU 2190 Essentials of Public Health Biology (3)
GPH-GU 5171 Global Health Informatics Workshop (0)
GPH-GU 5175 Readings in the History & Philosophy of Public Health I (0)
 

Spring semester (12 credits)

GPH-GU 2153 Global Environmental Health (3)
GPH-GU 2353 Regression I: Linear Regression and Modeling (3)
GPH-GU 2286 Introduction to Data Management and Statistical Computing (3)
GPH-GU 2387 Survey Design, Analysis, and Reporting (3)
GPH-GU 5180 Readings in the History & Philosophy of Public Health II (0)
GPH-GU 5185 Readings in the History & Philosophy of Public Health III (0)

Year 2:

Fall semester (11 credits)

GPH-GU 2686 Thesis I: Practice and Integrative Learning Experiences (2)
GPH-GU 2354 Regression II: Categorical Data Analysis (3)
GPH-GU 2110 Health Care Policy (1.5)
GPH-GU 2112 Public Health Management & Leadership (1.5)
Group A Elective (3)*

Spring semester (11 credits)

GPH-GU 2687 Thesis II: Practice and Integrative Learning Experiences (2)
GPH-GU 2480 Longitudinal Analysis of Public Health Data (3)
Group B Elective (2-3)*
Group B Elective (2-3)*
Group B Elective (2-3)*

*NOTE: students may take a Group A or B elective in either semester; Group A does not need to be taken in the Fall.

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