The Department of Biomedical Informatics, University of Pittsburgh School of Medicine, is improving clinical care and biomedical research via innovative applications in data mining, text processing, AI/machine learning, and biosurveillance.

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Certificate, Master’s & Doctoral Programs: Our program is designed to combine rigorous and in-depth research training with flexibility to tailor your program with elective courses from across the University.

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Postdoctoral Fellowship & Summer Internship: Enhance your research training and gain the additional skills you need for a successful academic career.

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Undergraduate Research: The Accessible & Inclusive Biomedical Informatics & Data Science (AIBIDS) is a full-time 10-week internship in informatics/data science under a faculty member or trainee at Pitt or Gallaudet University.

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Biomedical Informatics Training Opportunities!

The University of Pittsburgh’s Biomedical Informatics Training Program offers exciting opportunities in the applications of machine learning, artificial intelligence, and biomedical informatics through a range of degree and non-degree options:

Certificate in Biomedical Informatics
Masters Degree (MS) in Biomedical Informatics (including post-doctoral MS)
Doctoral Degree (PhD) in Biomedical Informatics
MS or PhD in Intelligent Systems – Biomedical Informatics Track
MD/PhD in Biomedical Informatics
Non-degree Postdoctoral Training

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Apply to DBMI

Learn more about our Alumni in the Department of Biomedical Informatics.

Alumni

Learn more about our Training Program in the Department of Biomedical Informatics.

Training Program

Learn more about our Research in the Department of Biomedical Informatics.

Research

News

Events

DBMI Colloquium Speaker – Tiffany Veinot – December 5, 2025

Towards Equity-Centered Design, Implementation and Evaluation of Patient-Facing Health Technologies Tiffany Veinot University of Michigan   Department of Biomedical Informatics Colloquium Series – Fall 2025 - 11:00 am – 12:00 pm407a/b BAUM5607 Baum...

DBMI Colloquium Speaker – Daniel Wilson – November 14, 2025

Discovering direct risk factors in UK Biobank via Bayesian model-averaged hypothesis tests Daniel Wilson Oxford Big Data Institute, University of Oxford   Department of Biomedical Informatics Colloquium Series – Fall 2025 - 11:00 am – 12:00 pm407a/b BAUM5607 Baum...