Data Science for Health Student Scholars Program

Be a Data Science for Health Student Scholar if you would you like to join a faculty-led team to address a health-related problem that requires complex data analysis, app development, EHR interventions, or sociotechnical evaluation.

As a Student Scholar, you will spend approximately 3-10 hours per week and receive academic credit for a journal club in the Fall (1-2 credit hours) and a Practicum in the Spring (1-3 credit hours). You will be an integral part of a project team led by one of the following Data Science for Health Faculty Scholars.

DeCART: Data, exploration, Computation, and Analytics Real-world Training for the Health Sciences

DeCART is a short-term training opportunity for students and professionals from the quantitative and life sciences who are interested in learning or expanding data science skills or learning about application areas within healthcare. Courses were held at the University of Utah Health Sciences Campus, running from June 28th through July 28th 2017. Watch presentations from featured speakers HERE!

Data Science - Case Study Modules

We will be enhancing existing courses by integrating data science principles and skills across the curriculum. During Fall 2017 and Spring 2018, we will develop case study modules that allow students to practice and apply data science skills in the context of meaningful problems, using real data sets.

To the modules:

  1. Designing a Data Visualization for Primary Care Teams
  2. Transient Receptor Potential (TRP) Ion Channel Gain of Function Polymorphisms in Pollution-associated Asthma Exacerbations
  3. Developing a Framework for Leveraging Patient Reported Outcomes Measurement for Increasing Value to Patients and Providers
  4. Using ED Chief Complaints to Perform Situational Awareness and Surveillance
  5. Identifying Patients with Pneumonia from Text for Cohort Identification
  6. Genomic Variant Analysis: finding and reporting causative variants

Application Deadline

Application Deadline


Notification of Acceptance


Contact Us

Biomedical Informatics
421 Wakara Way, Ste 140
Salt Lake City, UT 84108-3514

Phone: 801-581-4080
Email: bmi-admissions@lists.utah.edu