Graduate Certificate in Health Data Science

Main Campus (Kensington), Sydney, Australia

Shortlist

# 51-100QS Subject Rankings

8 monthsProgram duration

YesScholarships

Data Science and Artificial IntelligenceMain Subject Area

Shortlist

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

Blended

Health Data Science (HDS) is the science and art of generating data-driven solutions through comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from big data. HDS is an emergent discipline,...
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Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

Blended

Admission Requirements

IELTS

6.5+

Cambridge CAE Advanced

176+

TOEFL

90+

PTE Academic

64+

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 level
An undergraduate degree in a non-cognate discipline and minimum one year (full-time) relevant work experience
Minimum three years (full-time) relevant work experience

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)

Relevant experience is defined as:

Any (professional) position involving data acquisition, management or handling (e.g. database manager)or
Any (professional) position involving analytics (e.g. data analyst)and*tertiary-level training, demonstrating capability in a cognate discipline
Exhibits potential to pursue postgraduate (level 8) studies

Evidence requirements will be a CV and an employer provided statement of service in relation to professional experience.

Recognition of prior learning (RPL) is awarded in accordance with UNSW 'Recognition of Prior Learning (Coursework Programs) Policy' and 'Recognition of Prior Learning Procedure', for both program admission and credit.

Criteria for RPL for admission is detailed in the program entry requirements.

Program Duration

0.66666666666667 Years

Starting Month(s)

Feb

Starting Month(s)

Jun

Tuition Fee and Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

QS subject rankings

Subject: Data Science and Artificial Intelligence

Chart
Data

2024
#51-70
2025
#51-100

Ranking criteria

Academic Reputation

51.4

Citations per Paper

87.5

Employer Reputation

75.2

H-index Citations

89.3

View all rankings data

Main Campus (Kensington), Sydney, Australia

# 51-100QS Subject Rankings

8 monthsProgram duration

YesScholarships

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Exam Scores

Important Dates

Tuition Fee and Scholarships

Scholarships

In this guide you will find:

QS WUR Ranking By Subject

QS subject rankings

Subject: Data Science and Artificial Intelligence

Ranking criteria

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