Graduate Diploma in Health Data Science

Program Overview

The Graduate Diploma in Health Data Science empowers individuals to harness data for improved healthcare. Through a comprehensive curriculum covering data wrangling, machine learning, and analytics, graduates gain proficiency in identifying and leveraging health data to enhance clinical care, inform policy, and promote population health. The program prepares students for careers in various sectors, including healthcare, research, and data analytics.

Program Outline

Degree Overview:

The Graduate Diploma in Health Data Science equips individuals to identify relevant data, uncover hidden insights, and leverage this information to enhance clinical care, inform health policy, and improve population health. The program covers the complete pipeline, from understanding complex health issues to data wrangling and management, machine learning and data mining, data analytics, data modelling, and data communication.

Objectives:

• Develop proficiency in finding relevant health data
• Master techniques for unlocking hidden insights from data
• Apply data-driven solutions to address real-world health problems
• Enhance clinical care, inform health policy, and improve population health

Outline:

Program Structure:

The program consists of eight core courses, spanning over one year of full-time study or two years part-time:

Core Courses:

• Context of Health Data Science
• Statistical Foundations for Health Data Science
• Management and Curation of Health Data
• Health Data Analytics: Machine Learning I
• Health Data Analytics: Statistical Modelling I
• Visualisation and Communication of Health Data

Careers:

Graduates of the program can pursue careers in various sectors, including:

• Government departments of health (national, state, or local)
• Hospitals
• Universities and research institutes
• Pharmaceutical companies
• Health insurance companies
• Private data analytics consultancies