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Overview

If you are a graduate with qualifications in qualitative areas such as health and education, the Graduate Certificate in Data Science will provide you with the data science capability to complement your existing skills and provide a pathway to the Master of Data Science.

Data is a vital asset to an organisation. It can provide valuable insights into customer behaviour, market intelligence and operational performance. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from this data. Leveraging the University of Sydney's research strengths, you will explore the latest in data mining, machine learning and data visualisation while developing the skills to communicate data insights to key stakeholders effectively.

Subject areas

This course has no specialisation or major.

Shared pool

Entry, fees, funding & how to apply

Depends on your qualification, citizenship status
The details on this page based on your selections are a guide only, and are subject to change.

Your entry requirements

English language proficiency

Find out if you need to prove English language proficiency (depends on your country of origin and educational background).

For academic requirements check the ‘Admission requirements’ section on this page.

Your fee

How to apply

You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information. 

Standard closing dates:

Semester 1 - 11 February of the commencing year
Semester 2 - 15 July of the commencing year

We strongly encourage applicants to apply as early as possible, offers are made on a rolling basis and places are limited. Separate scholarship deadlines apply - check the scholarships website for details.

Starting date

Semester 1 (February) and Semester 2 (August)

You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information. 

Standard closing dates:

Semester 1 - 31 January of the commencing year
Semester 2 - 30 June of the commencing year

We strongly encourage international applicants to apply as early as possible to allow time for visa and travel arrangements. Separate scholarship deadlines may apply - check the scholarships website for details.

Starting date

Semester 1 (February) and Semester 2 (August)

Admission criteria

To be eligible for admission, an applicant is required to have:

  • an Australian bachelor's degree in a quantitative* discipline with a minimum 60 percent average or equivalent qualification or
  • an Australian bachelor’s degree with honours or equivalent qualification with a grade equivalent to an Australian credit average (65%) or better in a non-quantitative discipline. 

*A quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or other disciplines that are deemed equivalent. As a guideline, the curriculum of a quantitative discipline should include some study of mathematics or statistics at the tertiary level.

Some background in computing is beneficial. For qualifications awarded outside Australia, equivalencies and entry requirements are determined based on the country, institution and qualification. Any grade requirements listed are based on the University of Sydney grading system .

Course opportunities

Graduates of the MDS develop proficiencies in broad data literacy and applied contexts, a critical understanding of data management and analytics technology and core capabilities for delivering and communicating data science projects. They have a mastery of the most current knowledge in data science, interpreting new knowledge critically and analytically, and have the skills to design, execute and evaluate their own research or projects with autonomy. They think strategically and logically, keep abreast of new data science developments and are able to deliver analytical models and data-driven systems.

Career Pathways

The Graduate Certificate in Data Science provides a pathway into the Master of Data Science for students who non-quantitative Bachelors degrees. The training it provides also supports several career paths, by: honing data skills at the frontier of machine intelligence research to become a data scientist for hire; upskilling to build intelligent data-driven systems in an existing area of expertise (e.g., mining analyst); improving scientific research through training in data management, analysis, and modelling.
Future study options

Domestic students

International students

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