• What is EPIC?

    EPIC invites investigators and scholars from the health and social sciences, public health practitioners, clinicians, and industry professionals interested in population health research to register for one or more of our focused training courses. Courses are offered in New York City and also in online distance learning formats.

  • The Department

    The Department of Epidemiology at Columbia University's Mailman School of Public Health is located in uptown Manhattan. We have a global perspective and are particularly interested in understanding and improving the health of urban populations worldwide. Our faculty are leaders in chronic disease, infectious disease, injury, lifecourse, psychiatric/neuro, and social epidemiology.

  • The School

    The Mailman School of Public Health is recognized as a thought leader addressing critical public health issues including emerging infectious diseases and HIV/AIDS, urban health and health disparities, mental health, the impact of exposure to pollutants on children’s health, and the economic impact of health policy decisions.

  • The University

    Columbia is one of the top academic and research institutions in the world, conducting pathbreaking research in medicine, science, the arts, and the humanities. Columbia University offers a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields.

  • The City

    As the nation’s most populous city, NYC is the home to an enormous array of activities and excitement ranging from commerce, finance, media, culture, art, food, fashion, research, education, and entertainment.

EPIC provides opportunities to gain foundational knowledge and applied skills
Foundational courses

causal frameworks, program evaluation, and communication

Skill building courses

introduction to using statistical software (i.e. SAS, R, and STATA); missing data imputation, and meta-analysis

Specific health domains

focused subject area courses such as social, cancer, and pharmacology epidemiology and injury prevention

Choose from a range of classroom-based and online courses.
Epidemiologic Analysis Using SAS

I learned more about SAS in these last 5 days than I have during entire college courses! Great class, very thorough professor…Great learning experience.

Ruqayyah Abdullah
Researcher, DOHMH
Infectious Disease Epidemiology

I highly recommend this short intensive seminar on infectious diseases to practitioners in global health who have a MPH background level education in public health. The course provided an excellent "booster" to the work I do as a practitioner in the global health arena.

Susan White
Program Director, Pathfinder International
Infectious Disease Epidemiology

The student-lecturer interactions in my Infectious Diseases Epidemiology course were phenomenal and really made the learning process so much more powerful and close to real-life situations.

Nafiisah Chotun
Division of Medical Virology, Stellenbosch University, South Africa
Systematic Reviews and Meta-analysis

The Systematic Review and Meta Analysis course was superb! Short and sweet—gave all the essentials in just enough detail to make things interesting and relevant. The instructor was very knowledgeable about the topic. Would most definitely recommend it!

Tokunbo Akande, MD
MPH, Bronx-Lebanon Hospital Center
Program Evaluation

Program Evaluation gave me a strong foundation in different research designs and the strengths and limitation of each. It gave me some concrete ideas on how I can use the program I’m working on to inform some of our evaluations here, particularly around our work in breast-feeding.

Candace Mulready-Ward, MPH
Pregnancy Risk Assessment Monitoring System (PRAMS) Coordinator, NYC Department of Health and Mental Hygiene
Longitudinal Data Analysis

I really enjoyed the Longitudinal Data Analysis and Multi-level Modeling classes. Both were very helpful in learning new skills and concepts that I will definitely apply in my ongoing research. Both classes were very well organized and provided lots of materials and opportunity to practice.

Assel Terlikbayeva, MD, MSc
Regional Director, Global Health Research Center of Central Asia, Almaty, Kazakhstan
Multi-level modeling

I found the entire experience truly exceptional - from the discussion of the methods, the careful coordination of the classroom and lab material, the thoughtful critiques of relevant articles, and even the impressive Hammer building classroom.

David Seith, Research Analyst
National Center for Children in Poverty
Data Visualization and Graphic Design

Thanks for such a fantastic week of learning about R and PPT and all sorts of cool things (graphs) we can generate. I can't wait to apply the concepts you taught to my work (with heaps of data), and hopefully impress the right people.”

EPIC participant
Program Evaluation

I would recommend this course to anybody who is working on a grant. If you’re planning on submitting a grant application, you should understand what goes into  evaluating that application.

Kathleen Riordan, MPH
PROSPECT/WICER Project Manager, Department of Biomedical Informatics, Columbia University Medical Center
Data Visualization and Graphic Design

This was a brilliant ‘crash’ course in complex information presented clearly and succinctly.

EPIC participant
Multi-level modeling

I wanted to get new tools in data analysis methods to bring back to Papua New Guinea. I hope to look at population level factors that contribute to health outcomes in the developing setting.

Alexander Rosewell, PhD candidate
Epidemiologist, Papua New Guinea Country Office, World Health Organization
Program Evaluation

I wanted to take a full time program evaluation crash course that would provide the most updated methods. Program Evaluation was at a very high academic level. I found it very useful, and I’m going to apply it in my international activity.

Elio Omobono, MD, MSc
Public health officer, pediatrician, consultant for the Italian Government Development Aid Agency, UN organizations including WHO, UNICEF, PAHO, IAEA and the World Bank
Multi-level modeling

This course was a great introduction to a methodology that I hope to incorporate into my work.

Connor Essick
Biostatistics trainee, Yale University School of Public Health
Systematic Review and Meta-Analysis

The lecturer managed very well to structure the available course time and he found the right mix between lecture, discussion, and application of new skills.

EPIC participant
Genetic Epidemiology

The genetic epidemiology course covered a breadth of information from the underlying biology to the software tools used in large scale analyses.

EPIC Participant
Communicating Public Health in the Media

Communicating Public Health in the Media provided information that I applied the same day in my writing, and will use continuously. The guest speakers were of a very high caliber and added relevant expertise to our course discussions. The sessions were well balanced with lecture, application, and discussion.

Patches Magarro
Communication Professional
Systematic Reviews and Meta-analysis

In just a week I was able to learn much more than I had anticipated. I feel that I am adequately prepared to apply the skills acquired in this class to my research. Dr. Ravaud is clearly an expert in this field, and his passion for the subject matter was seen consistently throughout the course.

Chris Tait, MPH
Columbia University, Mailman School of Public Health
Systematic Review and Meta-Analysis

Brilliant course — I would highly recommend this course.

EPIC participant
Longitudinal Data Analysis

This was one of the most useful, powerful, and fun courses of my life!

EPIC participant
Multi-level Modeling

I took the course so I could better understand the variance in syndrome-related visits to emergency departments across New York City, looking at things such as patient zip code and age.

Marc Paladini, MPH
Director of Syndromic Surveillance at the New York City Department of Health and Mental Hygiene, who studies patterns of hospital utilization for multiple syndromes
Multi-level modeling

The class was extremely useful in terms of giving us hands-on experience and tools to move forward with our own research, while, importantly, discussing in a very careful way what the analytic assumptions and challenges of multi-level modeling so that we can responsibly apply it with our data.

Jessie Carr, MPH
Research/GIS Analyst with the University of Pittsburgh Graduate School of Public Health, Department of Environmental & Occupational Health
R (Programming language)

The introductory class was fantastic because it helped me understand the grammar of the programming language. It opened up new possibilities that I can do in R that I didn’t even know about. I’m going to be using it a lot more for graphics and standard statistics in my research.

Pamela Flood, MD
Professor of Anesthesia and Critical Care, UC-San Francisco, researches genetic factors in women’s labor experience.