Methods Track: Semantic Interoperability & Knowledge Modeling

This track teaches skills for knowledge representation and for semantic interoperability among various data within and across multiple scales. Students will demonstrate competency in (a) representing a variety of data for computation and analytics, (b) implementing biomedical (and other) data standards, terminologies, and ontologies for achieving SI in various settings (c) developing biomedical information systems that require SI (e.g., data integration) (d) exchanging biomedical data in a semantically consistent manner (e.g., Health information exchange), (e) developing novel methods for semantic and metadata discovery and mapping using advanced computing/Big Data approaches.

Recommended Course of Study

This is a recommended schedule for this track (numbers in parentheses indicate credit hours). Courses can be waived or tested out of with permission of the course instructor and the student's advisor. Ultimately, the courses a student takes should be determined and approved by the student and the graduate committee.

Grey = bridge course for those without background in genomics and medicine; light blue = DBMI core course; dark blue = DBMI course for this track; white = electives and research hours.


Recommended Electives


Special Interest Groups

PhD students are required to attend at least one SIG (all students are encouraged), which bring people with similar interests together to learn, share, and experiment.


Sign up for at least one practicum to gain hands-on experience and work with a team on a project.

SmartEHR, Sociotechnical, or NLP Service Line (opportunity for individual practicum 2017)

Students have the opportunity to apply to work for a semester with the SmartEHR team or the Sociotechnical or NLP service lines on an existing project. Must be coordinated with the team/service line director before registering:

Journal Clubs

Review and discuss literature in this area.

If there is not a current journal club, encourage your SIG to host one.

Affiliated Faculty

Feel free to meet individually with faculty and/or to attend their weekly lab meetings.


Bruce Bray; Wendy Chapman, VA; Guilherme Del Fiol; Karen Eilbeck; Scott Evans, Intermountain; Julio Facelli; Jennifer Garvin, VA; Ram Gouripeddi; Stan Huff, Intermountain; Ken Kawamoto; Scott Narus, Intermountain.


Rick Bradshaw, Intermountain.

Ph. D. Application Deadlines

Fall Semester

Domestic: December 31st

International: December 1st

Online Application

Biomedical Informatics at the University of Utah