NYU, GPH, and Departmental Resources
Curriculum and Program Information
- Key Things to Know for Your Degree in Biostatistics (resource document)
- Program Page (MPH, MS, PhD)
- Overview of Computing Requirement and Waiver Exams for GPH-GU 2182
- MS Elective Theme Approval Request Form
- SP2025 Guidance for Second-Year Master's Students
Where Your Degree Can Take You
- Click here to see a list of examples of what our alumni are doing now, and of what kinds of roles and opportunities could be available to you upon graduating from our department.
Biostatistics Job Opportunities
There are many exciting career opportunities available for Biostatistics students. While we encourage our students and alumni to take advantage of the resources available through the GPH Public Health Career Hub and Public Health Post, you also have access to a list of relevant available positions and other tailored resources on our Biostatistics Jobs & Career Resources Brightspace site.
Access to the site is restricted to current students and alumni. If you are a current student or alumni, and would like to request access, please email gph.bsadmin@nyu.edu with your Net ID information.
Student Life
- In addition to learning and preparing for fruitful careers in biostatistics, it is also important to us that students be able to enjoy themselves while connecting with one another during our program. To this end, we host many events with the specific aim of fostering these connections, as well as providing opportunities to explore the city of New York. You may find more information on upcoming and past Student Life events on our Seminars and Events page.
Student Theses
- All MPH and MS students are required to complete a comprehensive thesis in order to graduate. Click here to view examples of what students have accomplished in previous years.
Requesting Letters of Recommendation
- To request a letter of recommendation, please email the faculty member directly and include your CV/resume, unofficial transcript, and a personal statement.
Computing Resources
- NYU Data Services offers free, 1-2 hour courses on a variety of computing courses, such as Big Data, R, Python, data collection and many others. Click here to view the monthly calendar of sessions hosted by the university, or click here to view the entire list of classes offered and their descriptions.
- The Virtual Computer Lab provides NYU students with virtual access to academically relevant software applications. Click here to learn more.
Applied Practice Experience
- All MPH students are required to complete an Applied Practice Experience (APE) which includes 180 hours of hands-on public health practice. See here for a summary document and guiding information put together by the Applied Practice office.
General NYU Resources
- All NYU students can visit the NYU Writing Center for assistance with and feedback on various types of writing in their assignments.
- The Wasserman Center for Career Development provides guidance and resources to students and alumni in all stages of their job search, both for internal and external positions.
- We encourage students to utilize Wasserman's free interview preparation resources, including the ability to schedule a mock interview with a career coach.
- Wasserman also provides several resources on preparation of resumes and cover letters.
- Click here to access a static list of resources provided by the School of Global Public Health and NYU as a whole.
Conferences & Seminars:
- Discretionary funding is available to support travel and related expenses for students whose research is accepted for presentation at academic conferences. If your work is selected, please submit a funding request via this form.
- List of Statistical Conferences: ABRCMS (Annual Biomedical Research Conference for Minority Students), ASA/IMS Spring Research Conference, ATS (American Thoracic Society) International Conference, EcoSta (International Conference on Econometrics and Statistics), ENAR Spring Meeting (Eastern North American Region of the International Biometric Society), Field of Dreams Conference (National Math Alliance), International Conference on Machine Learning (ICML), ISBA World Meeting (International Society for Bayesian Analysis), Joint Conference on Statistics and Data Science in China, JSM (Joint Statistical Meetings), Lifetime Data Science Conference (LiDS), NESS (New England Statistics Symposium), New York City Epidemiology Forum, Royal Statistical Society (RSS) International Conference, SACNAS NDiSTEM Conference (Society for the Advancement of Chicanos/Hispanics and Native Americans in Science National Diversity in STEM), WNAR Spring Meeting (Western North American Region of the International Biometric Society).