Program of Study

The Ph.D. degree requires approximately 40 hours of formal classwork with a grade of B or better. A Ph.D. student must pass a written and oral Comprehensive Exam after the first year of study. Graduate work at this or other institutions, including courses taken for an MS degree, may be applied to the Ph.D. coursework requirement at the discretion of the student's advisory committee. After completion of coursework, the student must pass a Ph.D. written and oral Qualifying Examination. In addition to the classwork, 14 or more hours of research work (taken as BMI 7970) are required. This work must lead to completing and defending an original Ph.D. dissertation demonstrating the student's capabilities to conceive and execute an independent research project.

Cube

Curriculum Cube. The strengths of our program faculty are utilized in the building of the curriculum. This figure shows the expertise by application area (green, yellow, orange, red), methodology (grey), and focal research area (teal). After a year of core courses, students join an application track and choose methods courses as needed. The research foci are woven through the curriculum and demonstrate departmental strengths, although students are not limited to these fields.


Ph.D. Degree Requirements

  • Typically 40 hours of formal class work (varies by dissertation topic and the advice of the student’s supervisory committee);
  • Successfully pass the comprehensive and qualifying exams;
  • A minimum of 14 hours dissertation research hours; and
  • A successfully defended dissertation.

Required Courses

COURSE

SEMESTER

Prep Courses

Intro to Programming

1

Probability and Statistics for Biomedicine

2

Foundational Courses

Research Design *

2

Terminologies and Standards *

2

Systems and Process Modeling

1

Grant Writing

3

Application Area Courses

Foundations of Bioinformatics * green cube

1

Public and Population Health Informatics * yellow cube

1

Foundations of Healthcare Informatics * red cube

1

Translational Informatics (CRI) orange cube

3

Evaulation

Comprehensive exam

End of 2

Qualifying exam

4 +

Suggested Coursework for Specific Research Areas

In helping Ph.D. students and their supervisory committees to determine the program of study, we have provided the following resources below. Students need to discuss with their supervisory committee which options would be best for them.

Application Tracks

There are 4 application area tracks, and students must select one area:

  1. Healthcare/Clinical Informatics
  2. Translational Bioinformatics
  3. Clinical Research Informatics
  4. Public Health Informatics

Methods Tracks

There are 4 methods tracks, and students select courses from one or more track to meet their learning needs:

  1. Data Science, Analytics, AI, and Computational Methods
  2. Sociotechnical Design & Evaluation
  3. Standards and Interoperability
  4. Proposed Ethical Issues in Informatics and Data Science

Research Threads

There are 4 focus research threads that have been designed to allow the trainee to find their starting point and build their skill set and knowledge:

  1. Precision Medicine
  2. Exposure
  3. Health Disparities & Diversity
  4. Disease Prevention

Ph.D. students must complete at least 21 additional credit hours after completion of core courses. This table shows the required and elective courses for the application domain tracks and the suggested courses for the methodology tracks. DBMI courses are annotated with an asterisk (*) – all others are external courses.
LEGEND
R – Required
E – Elective
S - Suggested
TB – Translational bioinformatics
HC – Health care/clinical informatics
CR – Clinical Research Informatics
PH – Public health informatics
TB – Translational bioinformatics
DA – Data Science etc
SD - Sociotechnical Design
SI - Standards and Interoperability.
COURSES APPLICATIONS METHODS
HC CR PH TB DA SD SI

Foundational Courses (details in table above)

R

R

R

R

 

 

 

Clinical Decision Support (BMI6300)* red cube yellow cube

R

 

E

 

 

 

S

Clinical Information Systems Architecture (BMI6440)* red cube orange cube

R

R

 

 

 

 

S

Implementation of Systems in Healthcare settings (BMI6804)* red cube

R

 

 

 

 

 

S

Human System Interactions (BMI6821)* red cube yellow cube

R

 

E

 

 

S

 

Bioinformatics in Practice:RNA (BMI6019)* green cube

 

 

 

R

 

 

 

Applied Computational Genomics (BMI6060)* green cube

 

 

 

R

 

 

 

Applied Machine Learning (BMI6015)*

 

 

 

 

S

 

 

Deep Learning in Biomedicine (BMI6114)*

 

 

 

 

S

 

 

Clinical Database Design (BMI6203)*

 

 

 

 

S

S

 

Biomedical Text Processing (BMI6115)*

 

 

 

 

S

 

 

Biomedical Data Wrangling (BMI 6016)* orange cube yellow cube

 

R

E

 

S

 

S

Terminologies and Standards (BMI 6120/5)* orange cube

 

E

 

 

 

 

 

Data Mining (CS6140) orange cube

 

E

 

 

 

 

 

Information Technology Security (IS6570) orange cube

 

E

 

 

 

 

 

Data Warehouse Design and Implementation (IS6480) orange cube

 

E

 

 

 

 

 

Database Systems (CS5530) orange cube

 

E

 

 

 

 

 

Applied Informatics for Health Sci Research (NURS7104) orange cube

 

E

 

 

 

 

 

Health Promotion and Social Determinants (NURS7420) red cube

E

 

 

 

 

 

 

Project Management in Health Informatics (NURS6661) red cube

E

 

 

 

 

 

 

Quality Improvement in Healthcare (NURS6772) red cube

E

 

 

 

 

 

 

Systems Analysis and Implementation (NURS6807) red cube

E

 

 

 

 

 

 

Genetics & Complex Disease (HGEN6421) green cube

 

 

 

E

 

 

 

Signal Processing (BIOEN6670) green cube

 

 

 

E

 

 

 

Introduction to Genetic Epidemiology (MDCRC 6000) green cube

 

 

 

E

 

 

 

Genetics and Genomes (BIOL6420) green cube

 

 

 

E

 

 

 

Introduction to Epidemiology (MDCRC6010)

 

 

R

 

 

 

 

Biomedical Big Data Science (PHS7020) orange cube yellow cube

 

E

E

 

 

 

 

Applied Modern Causal Inference (PHS7030) yellow cube

 

 

E

 

 

 

 

Foundations of Population and Clinical Health (PHS7100) yellow cube

 

 

E

 

 

 

 

Environmental Public Health (FPMD6700) yellow cube

 

 

E

 

 

 

 

Intermediate Epidemiology (MDCRC6110) yellow cube

 

 

E

 

 

 

 

GIS Environmental & Public Health (GEOG6190)​ yellow cube

 

 

E

 

 

 

 

Data Mining (CS6140) orange cube

 

E

 

 

 

 

S

Database Systems (CS5530) orange cube

 

E

 

 

 

 

 

Introduction to Data Science, Artificial Intelligence (CS6300)

 

 

 

 

S

 

 

Visualization (CS6630)

 

 

 

 

S

 

 

Data Mining in Healthcare (IS6910)

 

 

 

 

S

 

S

Advanced Data Mining (IS6483)

 

 

 

 

S

 

 

Information Extraction from Text (CS6390)

 

 

 

 

S

 

 

Learning Semantics for NLP (CS6936)

 

 

 

 

S

 

 

Artificial Intelligence (CS5300)

 

 

 

 

S

 

 

Statistical Inference (Math5080)

 

 

 

 

S

 

 

Human Computer Interaction (CS654)

 

 

 

 

 

S

 

Ergonomics (MEEN6100)

 

 

 

 

 

S

 

Human Factors Engineering (MEEN6120)

 

 

 

 

 

S

 

Advanced Human Cognition (PSY6120)

 

 

 

 

 

S

 

Brain, Cognition and Behavior (PSY6750)​

 

 

 

 

 

S

 

Data Analysis and Decision Making (OIS6040)

 

 

 

 

 

 

S

Learning Semantics for NLP (CS6936)​

 

 

 

 

 

 

S

Ph. D. Application Deadlines

Fall Semester

Due Date: December 1st

Online Application

Biomedical Informatics at the University of Utah