Program Overview

Today, health data is measured in the trillions of gigabytes. It doubles every 75 days. Big data is a term used to describe data sets that are so large and complex, they can’t be managed or analysed using traditional methods.

In health, big data includes the:

  • millions of records generated routinely by health services

  • real-time clinical data captured at the point-of-care

  • genomic and imaging data produced in research and clinical settings

  • health-related data generated by the population at large through wearable devices and social media.

 

The Master of Science in Health Data Science will prepare you to find the right data, unlock hidden insights and use this information to better support clinical care, inform health policy and improve population health. This degree covers the entire pipeline from comprehension of complex health issues through to data wrangling and management, machine learning, data analytics, data modelling and data communication.  

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  Location

SydneyAustralia

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  Course Duration

20 Months

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  Tuition Fee

AU$ 41,980

 Score

IELTS: 6.5 TOEFL: 90

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Program Structure

Context

  • Health Delivery Systems

  • Data Sources

  • Evidence-Based Medicine

  • Health Outcomes

  • Health Equity and Genes

 

Curation

  • Data Quality

  • Wrangling

  • Data Linkage

  • File Management /Storage

  • IT Security

 

Analytics

  • Pattern Analysis

  • Pre-Processing

  • Outlier Detection

  • Prediction

 

Computation

  • Algorithms

  • Models

  • Decision Making

 

Communication

  • Collaborative Coding

  • Visualisation

  • Written and Oral Presentation

For entry into this degree, you must have one of the following:

  • an undergraduate degree in a cognate discipline

  • an undergraduate degree in a non-cognate discipline at honours leve

  • successful completion of the Graduate Diploma in Health Data Science (5372)

  • qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.

 

Cognate disciplines

  • medicine

  • nursing

  • dentistry

  • physiotherapy

  • optometry 

  • biomedical/biological science

  • pharmacy

  • public health

  • veterinary science

  • biology

  • biochemistry

  • statistics

  • mathematical sciences

  • computer science 

  • psychology

  • (health) economics

  • data science

  • other (case-by-case basis)

Indicative First Year Fee

AU $41,980

Future Careers

There is growing demand within the public and private health sector, both in Australia and globally, for professionals with specialised interdisciplinary skills in health data science. This degree could lead to a career in:

  • government departments of health (national, state or local)

  • hospitals

  • universities and research institutes

  • pharmaceutical companies

  • health insurance companies 

  • private data analytics consultancies.

 

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