Health Informatics, Graduate Certificate

Phone: 216.368.3725
Kim Krajcovic - Education Program Manager
informatics@case.edu


Credential: Graduate Certificate
Field of Study: Health Informatics


Program Overview

Students who want to explore Biomedical and Health Informatics without—or before—committing to a Master’s program, can take a series of four or five courses that provide an overview and grounding in the fundamentals with practical applications in research, clinical care and population health. If a student chooses to continue to a Master’s program within our department, all courses are transferable. This program can take from one year up to two and a half years to complete, depending on the student's chosen pace.

This 15 credit hour Graduate Certificate is issued through the School of Graduate Studies and will show on an official Case Western Reserve transcript. The department also offers a Departmental Graduate Certificate that does not show on an official Case Western Reserve University transcript. Please review the School of Medicine Program page for additional information. 

Graduate Policies

For graduate policies and procedures, please review the School of Graduate Studies section of the General Bulletin.

Program Requirements

Required Courses:6
Introduction to Data Structures and Algorithms in Python
AI in Medicine: Knowledge Representation and Deep Learning
Electives9
Total Credit Hours15

Electives can be selected to tailor a concentration that resonates with a student's interests.

Health Informatics Management Concentration9
Choose two of the following:
Fundamentals of Clinical Information Systems
Lean Services Operations
Health Policy and Management Decisions
Health Finance
Machine Learning & Data Mining
Choose one of the following:
Statistical Methods I
Introduction to Clinical Research Summer Series
Clinical Informatics Concentration9
Choose two of the following:
Fundamentals of Clinical Information Systems
The Continual Improvement of Healthcare: An Interdisciplinary Course
Machine Learning & Data Mining
Secondary Analysis of Large Health Care Databases
Choose one of the following:
Introduction to Clinical Research Summer Series
Statistical Methods in Public Health
Statistical Methods I
Bioinformatics Concentration9
Bioinformatics for Systems Biology
A Data-Driven Introduction to Genomics and Human Health
Machine Learning & Data Mining