Methods Track: Data Analytics & Decision Support

Data Analytics and Decision Support teaches knowledge and skills of data analytics in healthcare, focused on applications that can help clinical decision-making. Students will demonstrate competency in understanding and applying (a) high level mathematical analysis of large data sets, including images, (b) predictive and prescriptive analytic methods and tools, (c) optimal clinical decision support (CDS) interventions for specific healthcare problems, (d) optimal clinical knowledge management principles at health care organizations, including standards for CDS, (e) best practices in the development and evaluation of CDS interventions, and (f) information visualization for CDS. Students with interest in extended training in big data analytics may apply courses required for the School of Computing Big Data Certificate toward their track elective hours.

Recommended Course of Study

This is a recommended schedule for this track. 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.

Year/Semester Course Cr.
Year 1 Fall BMI 6018 Intro to Computer Programming  3
BMI 6010 Fnd Healthcare Informatics 2
BMI 6806 Translational Informatics 2
BMI 6030 Fnds Bioinformatics 2
Year 1 Spring BMI 6106 Into to Probability and Statistics 3
BMI 6111 Research Design Part I 1.5
BMI 6103 System Modeling and Process Improvement 2
BMI 6120 Standards in Biomedical Informatics 2
BMI 6112 Research Design Part II 1.5
Year 2 Fall  BMI 6701 Population and Public Health Informatics 2
BMI 6300 Clinical Decision Support 3
BMI 6203 Clinical Database Design II 2
Ethics 1
BMI 6821 Human System Interaction 2
Year 2 Spring Practicum in SmartEHR 3
Research Credits


Recommended Electives

MDCRC  6150 Biomedical Text Processing
CS 6140 Data Mining
IS 6910 Data Mining in Healthcare
IS 6483 Advanced Data Mining
CS 6300 AI
IS 6580 Data Science and Big Data Analytics
CS 6630 Visualization
CS 6530 Database Systems
IS 6480 Data Warehouse Design and Implementation
BMI 6440 Clinical Information Systems Architecture
BMI 7010 Journal Club in Advanced Computing and Big Data
IS 6570 Information Technology Security
BMI 6115 Biomedical Text Processing
BMI 6015 Applied Machine Learning 



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.


Samir Abdelrahman; Bruce Bray; Mollie Cummins, NI; Jennifer Garvin, VA; Guilherme Del Fiol; Scott Evans, Intermountain; Julio Facelli; Bryan Gibson; Peter Haug, Intermountain; Kensaku Kawamoto; Gang Luo; Scott Narus, Intermountain; Dennis Parker; Catherine Staes; Kathy Sward, NI; Charlene Weir, VA.


Laura Heermann-Langford, Nursing Informatics, Intermountain; Jeff Phillips, School of Computing Big Data Science; Heather Sobkho, 3M.

Ph. D. Application Deadlines

Fall Semester

Due Date: December 1st

Online Application

Biomedical Informatics at the University of Utah