Graduate Diploma
Today, health data is measured in the trillions of gigabytes. It doubles every 75 days.
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:
The Graduate Diploma 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 program covers the entire pipeline from comprehension of complex health issues through to data wrangling and management, machine learning and data mining, data analytics, data modelling and data communication.
Study the first postgraduate program in health data science
Our master's degree, graduate diploma and graduate certificate in health data science are pioneering programs that examine data-driven solutions to complex health problems. At UNSW, we're leading this new approach to healthcare.
Learn within a world-leading research and teaching institute
This program is delivered by the Centre for Big Data Research in Health (CBDRH)
Connect with staff and students in a dynamic learning environment
In some courses, a flipped classroom approach is used, where you'll learn theory from short online videos and use face-to-face or online sessions to apply knowledge, practice skills and engage in peer-to-peer learning. A major feature of our student-centric learning experience is the online community, where you can interact with your peers and instructors from diverse backgrounds and workplaces.
For entry into this program, you must have one of the following:
Cognate disciplines
You may be asked to provide evidence of your English proficiency to study at UNSW depending on your educational background and citizenship. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment.
If you're completing an Australian Year 12 qualification (e.g. NSW HSC or equivalent), you do not need to provide anything extra to prove your proficiency. Your qualification will be used as evidence of your English proficiency.
If you do need to provide evidence of your English proficiency, this will be indicated in your application. You can prove this by providing evidence that you meet one or more of the following criteria:
If you need to improve your English skills before you start your degree, UNSW College's Academic English Programs are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia.
For entry into this program, you must have one of the following:
Cognate disciplines
You may be asked to provide evidence of your English proficiency to study at UNSW depending on whether you are from an English-speaking background or non-English speaking background. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment.
If English is not your first language, you'll need to provide proof of your English proficiency before you can be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:
If you need to improve your English skills before you start your degree, UNSW College's Academic English Programs are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia.
The role of a health data scientist is dynamic and always evolving as their work spans across any of the multiple stages of the health data pipeline. From designing and leading research studies and analysing data, through to building machine learning processes to understand complex health issues, a health data scientist's work draws on a multiplicity of skills.
Because it's a profession in its early development stages, new roles and opportunities in this sector are being created all the time. The health data scientist may, for example, manage a team of data analysts to work out processes to gather data, assess how to model the data or devise ways to implement health policy change based on the outcomes of their studies and findings.
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 program could lead to a career in:
"We learnt industry-leading coding practices such as GitHub and Version Control and had regular assignments, which were useful as they were in a health context."
Phillip Hungerford
Analytics Consultant