Program Description
The rigorous Public Health PhD program at GPH allows students to balance the theoretical with the practical; the innovation with the application. Students will work side-by-side with, and under the guidance of, esteemed faculty from NYU’s global and interdisciplinary network on vanguard research and solutions to universal public health issues.
Concentrations
Students will further tailor their studies by selecting one of the following four areas of study:
Epidemiology
The Epidemiology concentration is designed to deepen students’ understanding and application of advanced data analytic techniques and research methodology. Students complete coursework in advanced epidemiologic methods and applied biostatistics and engage in mentored research activities to develop mastery in the conceptualization and implementation of independent epidemiologic research.
Social and Behavioral Sciences
The Social and Behavioral Sciences concentration prepares individuals to use social science and behavioral theory and an array of methodological approaches to understand and address the social and behavioral determinants of health and illness on the population level. The curriculum provides students with rigorous training in foundational social and behavioral theory, quantitative and qualitative research methods, and intervention and implementation science. Upon completion of the program, graduates will be equipped to conduct independent scholarly research in academic and research settings and translate that knowledge to solve pressing public health challenges.
Public Health Policy and Management
The Public Health Policy and Management concentration is dedicated to the rigorous exploration and application of research methods, legal frameworks, policy development, and managerial strategies pertinent to contemporary public health issues and challenges. We delve deeply into a wide range of themes that are critical to the conceptualization, formulation, implementation, and evaluation of public health policies and management strategies. These include, but are not limited to, healthcare delivery systems, health economics, and healthcare legislation, all seen through the lenses of legal principles, medical knowledge, and organizational contexts.
Biostatistics
The Biostatistics concentration focuses on statistical foundations and methods for study design, data analysis, interpretation and communication, with concern for ethics, equity, and awareness of structural racism and their roles in health.
Admissions
All applicants are required to submit the following:
- SOPHAS application form, select a single area of concentration from four different areas of study
- Official transcripts from each institution attended (or an evaluation of your credentials if you graduated from a foreign institution)
- Three letters of recommendation
- Personal statement
- Resume/CV
- English language proficiency exam (TOEFL iBT or IELTS Academic) results for all applicants whose native language is not English and who did not receive the equivalent of a US bachelor's degree at an institution where English is the primary language of instruction.
- International students requiring a visa to attend NYU must complete the IELTS exam in person at an authorized test center. If you are required to take the exam but will not need it for visa purposes you may choose to take it online or at a test center.
- Writing sample / Publication (must be sole author or first author among multiple)
- Personal interview
Although not required, PhD applicants are encouraged to identify potential faculty mentors at NYU whose research interests align with theirs and with whom they would like to work with in a proposed area of research interest.
Prerequisite Courses
These courses are only required for students who enter the program without an MPH. For questions related to this, please consult with the Director of Doctoral Studies.
Degree Requirements
For students who matriculated in Fall 2020 and after, the total doctoral degree requirements are 72 credits. This includes the addition of 33 doctoral research credits that will be required for all doctoral students effective Fall 2020.
Epidemiology
Course List
Course |
Title |
Credits |
GPH-GU 2930 | Epidemiological Methods and Design | 3 |
GPH-GU 3020 | Evidence-Based Public Health & Systematic Review Best Practices | 0 |
GPH-GU 2450 | Intermediate Epidemiology 1 | 3 |
GPH-GU 3050 | Methods in Community Health Research | 3 |
GPH-GU 3000 | Perspectives in PublicHealth: Doctoral Seminar I | 1.5 |
GPH-GU 3010 | Perspectives in Public Health: Doctoral Seminar II | 1.5 |
GPH-GU 3353 | Regression I: Linear Regression and Modeling | 3 |
GPH-GU 3354 | Regression II: Categorical Data Analysis | 3 |
GPH-GU 3960 | Theories in Public Health Practice & Research | 3 |
GPH-GU 3015 | Doctoral Research (repeated, for a total of 33 credits) | 33 |
GPH-GU 3200 | Dissertation Proposal Seminar | 3 |
GPH-GU 5170 | Introduction to Public Health | 0 |
2 | 6 |
| Advanced Agent-Based Modeling | |
| Advanced Epidemiological Methods: Evaluation of Epidemiological Studies | |
| Practical Applications in Epidemiology | |
3 | 9 |
Total Credits | 72 |
Social and Behavioral Sciences
Course List
Course |
Title |
Credits |
GPH-GU 2930 | Epidemiological Methods and Design | 3 |
GPH-GU 3020 | Evidence-Based Public Health & Systematic Review Best Practices | 0 |
GPH-GU 2450 | Intermediate Epidemiology 1 | 3 |
GPH-GU 3050 | Methods in Community Health Research | 3 |
GPH-GU 3000 | Perspectives in PublicHealth: Doctoral Seminar I | 1.5 |
GPH-GU 3010 | Perspectives in Public Health: Doctoral Seminar II | 1.5 |
GPH-GU 3353 | Regression I: Linear Regression and Modeling | 3 |
GPH-GU 3354 | Regression II: Categorical Data Analysis | 3 |
GPH-GU 3960 | Theories in Public Health Practice & Research | 3 |
GPH-GU 5170 | Introduction to Public Health | 0 |
GPH-GU 3015 | Doctoral Research (repeated, for a total of 33 credits) | 33 |
GPH-GU 3200 | Dissertation Proposal Seminar | 3 |
GPH-GU 3260 | Complex Systems, Disasters, and the Social Ecology of Health | 3 |
GPH-GU 3294 | Designing and Managing Organizations in Public Health | 3 |
GPH-GU 3210 | Qualitative Analysis: Interviewing and Mixed Methods Approaches | 3 |
| 6-8 |
| Applied Bayesian Analysis in Public Health | |
| Applied Survival Analysis | |
| Causal Inference: Design and Analysis | |
| Dissemination and Implementation Science in Health Care and Public Health | |
| Longitudinal Analysis of Public Health Data | |
| Multi-Level Modeling: Nested Data/Longitudinal Data | |
| Psychometric Measurement and Analysis in Public Health Research and Practice | |
| Survey Design, Analysis, and Reporting | |
Total Credits | 72 |
Public Health Policy and Management
Course List
Course |
Title |
Credits |
GPH-GU 2930 | Epidemiological Methods and Design | 3 |
GPH-GU 3020 | Evidence-Based Public Health & Systematic Review Best Practices | 0 |
GPH-GU 2450 | Intermediate Epidemiology 1 | 3 |
GPH-GU 3050 | Methods in Community Health Research | 3 |
GPH-GU 3000 | Perspectives in PublicHealth: Doctoral Seminar I | 1.5 |
GPH-GU 3010 | Perspectives in Public Health: Doctoral Seminar II | 1.5 |
GPH-GU 3353 | Regression I: Linear Regression and Modeling | 3 |
GPH-GU 3354 | Regression II: Categorical Data Analysis | 3 |
GPH-GU 3960 | Theories in Public Health Practice & Research | 3 |
GPH-GU 5170 | Introduction to Public Health | 0 |
GPH-GU 3015 | Doctoral Research (repeated, for a total of 33 credits) | 33 |
GPH-GU 3200 | Dissertation Proposal Seminar | 3 |
GPH-GU 3110 | Advanced Public Health Policy & Management | 3 |
GPH-GU 3185 | Health Services and Policy Research | 3 |
GPH-GU 3240 | Organizational Theory and Behavior in Health Care | 3 |
| 6 |
| Advanced Empirical Methods | |
| Adv Resrch in Orgnz Behav | |
| Applied Bayesian Analysis in Public Health | |
| Applied Survival Analysis | |
| Dissemination and Implementation Science in Health Care and Public Health | |
| Evaluating Programs and Policies | |
| Longitudinal Analysis of Public Health Data | |
| Machine Learning in Public Health | |
| Microeconomics | |
| Multi-Level Modeling: Nested Data/Longitudinal Data | |
| Qualitative Analysis: Interviewing and Mixed Methods Approaches | |
| Organization Theory | |
| Psychological Measurement | |
| Psychometric Measurement and Analysis in Public Health Research and Practice | |
| Survey Design, Analysis, and Reporting | |
Total Credits | 72 |
Biostatistics
Course List
Course |
Title |
Credits |
GPH-GU 2930 | Epidemiological Methods and Design | 3 |
GPH-GU 3020 | Evidence-Based Public Health & Systematic Review Best Practices | 0 |
GPH-GU 2450 | Intermediate Epidemiology 1 | 3 |
GPH-GU 3050 | Methods in Community Health Research | 3 |
GPH-GU 3000 | Perspectives in PublicHealth: Doctoral Seminar I | 1.5 |
GPH-GU 3010 | Perspectives in Public Health: Doctoral Seminar II | 1.5 |
GPH-GU 3353 | Regression I: Linear Regression and Modeling | 3 |
GPH-GU 3354 | Regression II: Categorical Data Analysis | 3 |
GPH-GU 3960 | Theories in Public Health Practice & Research | 3 |
GPH-GU 5170 | Introduction to Public Health | 0 |
GPH-GU 3015 | Doctoral Research (repeated, for a total of 33 credits) | 33 |
GPH-GU 3200 | Dissertation Proposal Seminar | 3 |
GPH-GU 3235 | Biostatistical Consulting | 3 |
GPH-GU 3225 | Statistical Inference | 3 |
GPH-GU 2336 | Critical Reading of the Biostatistical Literature | 3 |
| 6 |
| Applied Survival Analysis | |
| Longitudinal Analysis of Public Health Data | |
| Machine Learning in Public Health | |
| Survey Design, Analysis, and Reporting | |
Total Credits | 72 |
Candidacy and Dissertation
The culmination of years of advanced study, ardent research, and dedicated attention to improving the global public health paradigm are the candidacy exam and subsequent dissertation. All PhD in Public Health students are expected to demonstrate competence in their area of study via successful completion of both.
Candidacy Exam
In June following your second year of study, you will sit for the candidacy examination to assess your potential to successfully undertake scholarly research at the PhD level.
Dissertation
After you pass the candidacy exam, you must prepare a dissertation proposal that outlines your research ideas and officially form a dissertation committee. The dissertation is the culmination of the PhD degree and should demonstrate not only your mastery of the literature of the subject, but also an ability to carry out independent research that results in a genuine contribution to public health knowledge, or an original interpretation of existing knowledge in an articulate and impactful way.
Sample Plan of Study
Timeline
Although the maximum allotted time you have to complete the degree is seven years, we expect most GPH doctoral students to complete their degree in four or five years. The sample timeline below assumes that you have completed the prerequisite courses prior to entering into the doctoral program; if you have not, another year of coursework would be added to this timeline. Although the time it takes to complete the PhD degree varies for each student, we expect that students will typically complete the candidacy in Year 2 and the dissertation defense in Years Four/Five. See a sample timeline of a typical PhD degree completion on the Doctorate page.
Global Public Health: Timeline
Year |
Coursework |
One |
Systematic literature review |
Two |
Candidacy Exam (Summer after year two) |
Three |
Defend dissertation proposal |
Four/Five |
Dissertation defense |
Program Sequence
Plan of Study Grid
1st Semester/Term |
GPH-GU 3960 |
Theories in Public Health Practice & Research |
3 |
GPH-GU 3000 |
Perspectives in PublicHealth: Doctoral Seminar I |
1.5 |
GPH-GU 3020 |
Evidence-Based Public Health & Systematic Review Best Practices |
0 |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
GPH-GU 5170 |
Introduction to Public Health |
0 |
| Credits | 6 |
2nd Semester/Term |
GPH-GU 3353 |
Regression I: Linear Regression and Modeling |
3 |
GPH-GU 3010 |
Perspectives in Public Health: Doctoral Seminar II |
1.5 |
GPH-GU 3050 |
Methods in Community Health Research |
3 |
GPH-GU 2450 |
Intermediate Epidemiology 1 |
3 |
2 |
3 |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 15 |
3rd Semester/Term |
GPH-GU 3354 |
Regression II: Categorical Data Analysis |
3 |
GPH-GU 2930 |
Epidemiological Methods and Design |
3 |
2 |
3 |
2 |
3 |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 13.5 |
4th Semester/Term |
GPH-GU 3200 |
Dissertation Proposal Seminar |
3 |
2 |
3 |
2 |
3 |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 10.5 |
5th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 6 |
6th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 6 |
7th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5-6 |
| Credits | 6 |
8th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5-3 |
| Credits | 6 |
9th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5 |
| Credits | 1.5 |
10th Semester/Term |
GPH-GU 3015 |
Doctoral Research |
1.5 |
| Credits | 1.5 |
| Total Credits | 72 |
Policies
NYU Policies
University-wide policies can be found on the New York University Policy pages.
School of Global Public Health Policies
A list of related academic policies can be found on the School of Global Public Health academic policies page.