According to the American Medical Informatics Association, health informatics is “the science of how to use data, information and knowledge to improve human health and the delivery of healthcare services.” The Creighton Health Informatics Program develops a health data informed workforce focused on the utility of data to improve health care delivery. With the proliferation of value-based payments, population health and social determinants of health, the health informatics program will collaborate with industry partners to ensure a cutting-edge program that not only prepares graduates for an innovative environment but for themselves to innovate to meet industry demands and address societal needs to improve health care.
Master of Science, Health Informatics (36 Credits)
The Master of Science degree in Health Informatics program is designed to offer students a broad, interdisciplinary, and critical understanding of informatics and analytics within the healthcare context. Health informatics is an interdisciplinary field that analyzes biomedical data for improved decision making in healthcare. Health informatics brings together the fields of computer science and data analytics to study the processes for the generation, storage, retrieval, use, and management of health data. The program highlights the social and ethical as well as the technological dimensions of this rapidly evolving professional field. The program will be of interest to students intending to pursue careers at the intersection of healthcare and technology, it will also appeal to any graduate student interested in examining larger questions about healthcare analytics from an interdisciplinary perspective, including the role of data to understand social and cultural dimensions of health care.
Degree Requirements (36 Credits):
| Code | Title | Credits |
|---|---|---|
| Required courses: | ||
| HIF 601 | Introduction to Health Informatics | 3 |
| HIF 603 | Introduction to Analytics in Health Informatics | 3 |
| HIF 605 | Advanced Analytics in Health Informatics | 3 |
| HIF 635 | Data Governance | 3 |
| HIF 640 | Data Management | 3 |
| HIF 710 | Systems Analysis & Design | 3 |
| BIA 770 | Cybersecurity | 3 |
| HIF 785 | Leadership and Business Principles for Health Informatics | 3 |
| HIF 790 | Health Informatics Capstone | 3 |
| Electives - Choose three courses: | 9 | |
| Predictive Analytics | ||
| Applications of Optimization Modeling | ||
| Data Visual Analysis and Visualization | ||
| Machine Learning in Health Informatics | ||
| Generative AI in Health Informatics | ||
| Organization and Management of Public Health Services | ||
| Epidemiology | ||
| Health Communication and Informatics | ||
| Health Economics and Finance | ||
| Introduction to Mixed Methods | ||
| Failing and Failure in Leadership | ||
| Total Credits | 36 | |
Graduate Certificate in Health Informatics (12 Credits)
Certificate Requirements (12 Credits)
| Code | Title | Credits |
|---|---|---|
| Required courses: | ||
| HIF 601 | Introduction to Health Informatics | 3 |
| HIF 710 | Systems Analysis & Design | 3 |
| HIF 785 | Leadership and Business Principles for Health Informatics | 3 |
| Elective (choose one from below): | 3 | |
| Predictive Analytics | ||
| Applications of Optimization Modeling | ||
| Data Visual Analysis and Visualization | ||
| Machine Learning in Health Informatics | ||
| Generative AI in Health Informatics | ||
| Organization and Management of Public Health Services | ||
| Epidemiology | ||
| Health Communication and Informatics | ||
| Health Economics and Finance | ||
| Introduction to Mixed Methods | ||
| Failing and Failure in Leadership | ||
| Total Credits | 12 | |