Registration Open for Summer Institute of Epidemiology and Biostatistics
Advance your public health and data science skills this summer.
Register today for the 44th Summer Institute of Epidemiology and Biostatistics and take short, intensive courses providing practical and tangible skills.
AI for Improved Patient Outcomes class, Graduate Summer Institute 2025
The Summer Institute program will take place June 8–26, 2026 and offers skills and content-based courses ranging in length from four hours to two weeks, with online, hybrid, and in-person format options. Online offerings include a mix of synchronous and asynchronous so you can find a format that works for you and your schedule.
All courses are open to learners from around the world, both Bloomberg School degree-seeking students and individuals looking to learn material outside of a formal degree program. Institute participants often include graduate students, clinicians, public health practitioners, physicians in training, and those considering a career in public health or wanting to increase their skills.
Popular Biostatistics classes:
- Data Visualization prepares students to create clear, accurate, and impactful visualizations for audiences in both academia and industry.
- Introduction to Data Management introduces students to the principles and skills required to collect and manage research data in a public health setting.
- Statistical Reasoning in Public Health I and II provides students with a broad overview of biostatistical methods and concepts used in the public health sciences.
- Data Analysis Workshop series teaches basic statistical programming approaches for data wrangling, data exploration, data visualization, and common statistical analyses including hypothesis testing, survival analysis, and regression.
- AI Programming in Python for Public Health, aimed at public health professionals, researchers, and policymakers, delves into AI’s role in disease surveillance, epidemic prediction, healthcare delivery, and health policy.
Popular Epidemiology classes:
- Epidemiologic Inference in Public Health I introduces principles and methods of epidemiologic investigation of disease and other health states.
- Practical Skills for Conducting Epidemiologic Research covers applications of epidemiologic principles in the conduct of observational studies as taught in advanced epidemiologic methods.
- Epidemiology of Aging covers the descriptive and analytic epidemiology of prevalent chronic conditions in the aged, methodologic challenges essential to consider in research on older adults, and strategies for prevention of age-related disorders.
- Topics in Infectious Disease Epidemiology introduces the basic methods for infectious disease epidemiology and case studies of important disease syndromes and entities.
New classes offered in 2026:
- Excel for Public Health Data: Management, Analysis & Visualizations provides hands-on Microsoft Excel training tailored for local public health work. Students will learn practical skills to import, clean, manage, and document datasets.
- Introduction to Text Analytics Methods teaches how to clean, structure, and extract meaningful information from text using text-analytics methods, along with an introduction to Natural Language Processing and AI tools.
- FDA's Regulation of Prescription Drug Safety and Effectiveness is intended to help public health professionals understand how FDA determines whether to approve a prescription drug as safe and effective and the epidemiologic evidence underlying these FDA determinations.
Other topics include electronic health records, causal inference, clinical trials, digital health technology, and more!
Student Testimonials
“In addition to the helpful and relevant content, I appreciated all the strategies and tips for optimizing effective use of these programs (e.g. best practices for organizing data, creating data labels, naming projects/datasets to track versions).” —Introduction to Data Management
“I loved the teaching style and practical, clear way of explaining things...Going over the calculations using R, Stata, etc. was the best part, since that's almost always how we will do it in real life.” —Power and Sample Size for the Design of Epidemiological Studies I
Read more Summer Institute testimonials from our former students.
View a full list of the courses offered and information on tuition and fees. Scroll to the bottom for the institute fees and note that for-credit and (less expensive) not-for-credit options are available.
