Take the first step on your career journey towards the revolutionary field of big data.

There’s currently high demand for data scientists1, and this graduate certificate will prepare you for the workplace, or to study towards a master degree.

Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of ‘Big Data’, and to a new career of ‘data scientist’. Data scientists find patterns, making meaning and drawing value from the seeming chaos.

This postgraduate degree is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification.

If you finish this graduate certificate and want to do further study, consider going on to the Graduate Diploma in Data Science or the Master of Data Science.

1 Source: McKinsey Global Institute. Big Data: The next frontier for innovation, competition and productivity, May 2011.

What you'll learn

In the Graduate Certificate in Data Science you will gain an understanding of core concepts in information technology and statistics. You will develop:

• cognitive skills to review, analyse, consolidate and synthesise knowledge and identify and provide solutions to complex problems in data science
• cognitive skills to think critically and to generate and evaluate complex ideas
• specialised technical and creative skills in data science
• communication skills to demonstrate an understanding of theoretical concepts
• communication skills to transfer complex knowledge and ideas to a variety of audiences

The field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation. Analytics, science, data, and reasoning are becoming embedded into decision-making processes, every day and everywhere in the business world1.

Careers to consider:

• big data visualiser: using visualisation software to analyse data, drawing implications and communicating findings; providing input on database requirements for reporting/analytics; acquiring, managing and documenting data (e.g. geo-spatial); creating visualisations from data or GIS data analysis
• data scientist: understanding interfaces, data migrations, big data and databases; taking the lead in processing raw data and determining the best types of analysis; mining large volumes of data to understand user behaviours and interactions; communicating data findings to IT leadership and business leaders to promote innovation
• business data analyst: working with stakeholders, analysts and senior management to understand business strategy and the questions that need to be asked; identifying research needs; designing experiments and making recommendations based on results; driving complex analytics projects to support the business
• information security analyst: reporting and recommendations to prevent security incidents; security control monitoring; implementing new security technology, methods and techniques; championing security best practice; reviewing systems for security risks and compliance issues