Data and Analytics for Quality Improvement (CIDH7303)

Information valid for Semester 1, 2025

Course level

Postgraduate Coursework

Faculty

Health, Medicine and Behavioural Sciences

Schools

Economics School, Mathematics & Physics School, Public Health School

Units

2

Duration

One Semester

Attendance mode

External

Class hours

Workshop 2 Hours/ Fortnight

Recommended prerequisite

Recommended companion

Assessment methods

Quizzes

Exam

Course enquiries

Professor Jason Pole (Semester 1)

Associate Professor Sally Shrapnel (Semester 1)

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2025 (24/02/2025 - 21/06/2025) External External Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

This course introduces the fundamentals of data science in modern healthcare practices. You will learn the fundamental principles of data analytics for quality improvement in health care and receive an introduction to the fields of biostatistics & epidemiology, artificial intelligence, machine learning, and health care econometrics. The course will help you to understand the diversity of analytic methods for quality improvement in healthcare nationally and globally. It will equip you with knowledge and skills to be an integral member of a team solving real-world healthcare problems using available data tools. You will also learn to create a longitudinal plan for ongoing engagement with data analytic tools in a dynamic clinical and technical environment.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2024 (19/02/2024 - 15/06/2024) External External Course Profile
Semester 1, 2023 (20/02/2023 - 17/06/2023) External External Course Profile