The Graduate Diploma in Health Data Science will provide you with the tools you need to recognize the pertinent data, unearth ideas that have been dormant, and use this information to improve clinical treatment, direct health policy, and improve public health. From comprehending complex health issues to data administration, machine learning, data mining, data analytics, and data modeling, this program covers every stage of the procedure.
Currently, there are trillions of gigabytes worth of health information available. It doubles every 75 days. "Big data" is the term used to describe data collections that are too large and complex to manage or analyze using traditional methods.
In order to extract knowledge from big data, analytics and critical thinking are used. Health Data Science (HDS) is the art and science of creating data-driven solutions based on an understanding of difficult real-world health situations.
Also, The Graduate Diploma in Health Data Science covers the second phase of the HDS pipeline, which deals with data analytics, machine learning, data mining, data modeling, and communication, including data visualization. Besides that, HDS is a developing field that combines (bio)statistics, computer science, and health.
What you will study
The Graduate Diploma in Health Data Science can be earned in one year of full-time study or two years of part-time study. The curriculum consists of eight mandatory core courses, including:
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 Modeling I
Health Data Analytics: Statistical Modeling II
Visualization and Communication of Health Data
Computing for Health Data Science or Principles of Programming
Graduates will be able to show that they have a global perspective on the potential of health data science to improve both individual and collective health.
Graduates will be able to apply Health Data Science principles to unusual circumstances thanks to their enhanced disciplinary policy and skills.
Graduates will be able to employ statistical reasoning to synthesize and critically assess difficult health data science subjects, cognitive abilities and critical thinking.
Graduates will be able to communicate knowledge resulting from Health Data Science insights to a number of audiences using a variety of media, including data visualization (Vis), spoken communication, and written expression.
Graduates will be able to create data-driven solutions by understanding actual health issues and using critical analysis and thinking to learn from (big) data.
The Graduate Diploma in Health Data Science intends to graduate students with a strong foundation in the field, with an emphasis on an acknowledged area of workforce need. Graduates will be qualified for a range of jobs in the public and private healthcare sectors as a result. In particular, at the MSc level, high achievers will be well-suited for continuing education.
There is a rising need for people with specific interdisciplinary skills in health data science in Australia and throughout the rest of the world. You may be prepared for employment in:
Government departments of health (national, state or local)
Universities and research institutes
Health insurance companies
Private data analytics consultancies.
The curriculum is intended for a diverse variety of local and international target student populations, and it should appeal to both. The student backgrounds will include computer science, math, statistics, and healthcare (clinical, nursing, and allied health).
Successful completion of the Graduate Certificate in Health Data Science program.
Depending on the situation, credentials equal to or more than those required for the Graduate Certificate in Health Data Science program
English Language Requirements
In order to study at UNSW, you may be required to provide proof of English proficiency, depending on your educational history and citizenship. UNSW demands a minimum level of English language competency for enrolment since English language skills are crucial for coping with lectures, tutorials, assignments, and exams.
It will be mentioned in your application if proof of English proficiency is necessary. You can do so by demonstrating that you meet at least one of the following requirements:
English language examinations and universities English courses
Prior English language schooling is also a requirement.
Tuition Fees and Scholarships
2022 Indicative First Year Full Fee - $32,160
2022 Indicative Full Fee to Complete Degree - $32,160
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