Health Informatics Certificate Curriculum

Small group of students looking at calculations on a white board

Two courses are required for the certificate program

  • Introduction to Data Structures and Algorithms in Python (PQHS 413)
  • Computing in Biomedical and Health Informatics (PQHS 416)

You then select two courses from one of the following concentrations

  • Health Informatics
  • Clinical Research Informatics
  • Bioinformatics

If you are interested in a 15-credit certificate, then you will select one additional elective from any of the concentrations or another elective in consultation with your academic advisor. A 15-credit certificate will appear on a ÐÇ¿Õ´«Ã½ transcript.

Courses in the concentrations are listed below. For complete descriptions, download the Biomedical & Health Informatics Certificate PDF.

Health Informatics

  • CRSP 401 (3 Credit Hours) — Introduction to Clinical Research Summer Series OR PQHS 431 (3 Credit Hours) — Statistical Methods I
  • PQHS 471 (3 Credit Hours) — Machine Learning & Data Mining
  • EBME 473 / SYBB421 (3 Credit Hours) — Fundamentals of Clinical Information Systems
  • HSMC 412 (3 Credit Hours) — Lean Service Operations
  • HSMC 420 (3 Credit Hours) — Health Finance
  • HSMC 456 (3 Credit Hours) — Health Policy and Management Decisions

Clinical Research Informatics

  • CRSP 401 (3 Credit Hours) — Introduction to Clinical Research Summer Series OR PQHS 431 (3 Credit Hours) — Statistical Methods I OR MPHP 405 (3 Credit Hours) — Statistical Methods in Public Health
  • PQHS 471 (3 Credit Hours) — Machine Learning & Data Mining
  • PQHS 515 (3 Credit Hours) — Secondary Analysis of Large Health Care Data Bases
  • EBME 473 / SYBB 431 (3 Credit Hours) — Fundamentals of Clinical Information Systems
  • MPHP 458 / PQHS 458 (3 Credit Hours) — Statistical Methods for Clinical Trials
  • MPHP / PQHS 468 (3 Credit Hours) — The Continual Improvement of Healthcare: An Interdisciplinary Course

Bioinformatics

  • PQHS 451 (3 Credit Hours) — A Data-Driven Introduction to Genomics and Human Health
  • EECS / SYBB 459 (3 Credit Hours) — Bioinformatics for Systems Biology
  • PQHS 471 (3 Credit Hours) — Machine Learning & Data Mining