Start Date

0.5 year(s) full-time

Program Code

4GC077 (Internal)

Study as
Full-time or part-time


$AU 15,000 per 0.5 EFTSL for students enrolled in 2022

Degree overview

  • Study at the No.1 university in SA for student satisfaction in IT.1
  • Enter the revolutionary area of big data where there is an increase in demand for data science skills2.
  • Learn to analyse and visualise rich data sources, how to spot data trends, and to generate data management strategies.
  • Complete coursework designed with industry including the Institute of Analytics Professionals of Australia and one of the leaders in business analytics software – SAS.
  • On-campus and online study options available.

1ComparED (QILT) Course Experience Questionnaire 2019-20, Computing and Information Systems – Overall Satisfaction Indicator (Postgraduate). Public SA-founded universities only.

2Deloitte Access Economics, The future of work: Occupational and education trends in data science in Australia, February 2018



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.

1Deloitte Access Economics, The future of work: Occupational and education trends in data science in Australia, February 2018

What you'll learn

What you 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

Degree structure

Course name Area and cat no. Units Reference  
Big Data Concepts INFS 4020 4.5
Statistical Programming for Data Science COMP 5070 4.5
Statistics for Data Science MATH 4044 4.5
Directed Elective 4.5 Note(s): 1,2,3

Study hours

For each course you study, you will need to allocate time for various classes such as lectures, tutorials, workshops, seminars and practicals. Plus you will need additional hours to study in your own time to complete assignments, readings and projects, as well as to contribute to online discussion forums. So as a general rule, if you are studying full-time you would need to allocate 12–26 hours of study when at university and 14–28 hours of independent study per week.

Global opportunities

Enrich your studies and your life – make overseas study part of your qualification. You may have the option to undertake an exchange, short-term program or study tour overseas while you study. We have links with universities worldwide, as well as a range of travel grants available to make going overseas much more accessible.

You can choose short-term or semester-long study from a range of universities and countries depending on your area of study and cultural interests.

Take a look at the global opportunities available.

Global opportunities

Why Graduate Certificate in Data Science

Why this Degree

UniSA’s Graduate Certificate in Data Science gives you current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both.

Taught by leading researchers you will learn to analyse and solve complex problems involving large volumes of data. You will also develop specialised technical skills in generating statistics and manipulating large databases. You will develop skills in data and statistics through courses such as:

  • Big Data Basics
  • Statistical Programming for Data Science
  • Statistics for Data Science; and Probabilities and Data (students with an IT background)
  • Relational Databases and Warehouses; and Business Intelligence and Analysis (students with a maths background)

This qualification can be studied on-campus, online or a combination of both. Once you have been accepted into the program you can select your mode of study.

Real-world connections

Research institutes and centres
UniSA is home to several research institutes, concentrations and centres including:

All have industry-standard facilities, with world renowned links and associations that provide a dynamic teaching and research base for our students.
We also host regular University-wide employee master classes and employment expos, and alumni events in Australia and overseas.

Online study

Online study

Part, or all, of this degree can be studied online. This means that you can:

  • study online, including accessing videos and course resources
  • participate in an interactive online learning environment
  • submit your assignments and get feedback online
  • use discussion forums for team work and communication

With interactive online course materials and a 24/7 learning environment, you can organise your study to suit your lifestyle. 

Please note that for some degrees, some on-campus attendance (such as to attend seminars, workshops or examinations) and/or placements may apply. Any applicable requirements will be detailed on individual course pages.

Career outcomes

Your career

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:

  • Junior Data Analyst - As a junior data analyst, your responsibilities include not only the analysis of data but its interpretation as well. You sort data, collect statistics and transform them into information that a business can readily understand and harness for its benefit. This combination of skills makes you indispensable to organisations in their decision-making processes. You will help the more senior data analysts or data scientists in their goals to model business situations and aim to increase revenue and drive down costs.

  • Business Analyst – As a business analyst, your focus will be centred around business intelligence and conduct most of the duties of a junior data analyst. The main roles are to create dashboards and produce insights for the business which are disseminated in marketing initiatives, building revenue and projecting costs.

  • Data Manager – As a data manager, your responsibilities include looking after the data warehouses and the storage of data for accessibility. The need of having clean, protected, manageable and useful data is essential. You should be able to provide data efficiency and effectively to other departments.

  • Data Entry -  As a data entry professional, you are responsible for entering data collected into databases, organising data and their warehouses.  The purpose is to communicate and ensure that the data is entry is useable and effectively works when a data scientist comes along and needs to apply statistics and models to the data efficiency and effectively.

1Deloitte analytics trends 2016

How to apply

Applying to study with us:

  • go to the top of this page and make note of the SATAC code, then click Apply
  • you will be redirected through to the SATAC website to continue your application


Every year, over 2,500 UniSA students are supported in their studies through scholarships and grants worth millions of dollars. Check out the scholarships below. One of them may be perfect for you. Visit our scholarships page for more.

More scholarships

Your study experience and support

Our campuses have fantastic facilities including modern lecture theatres, libraries, workshops, laboratories, tech zones, and spaces that simulate real work environments. You’ll also find student gyms and campus sport activities to keep you active. We also offer flexible study options, with online resources available for accessing lecture recordings, virtual classrooms, library resources and learning support. 

Adelaide also has a variety of accommodation options to suit different requirements and budgets should you need, from dedicated student accommodation to private rentals. See our long-term accommodation pages or explore our student accommodation by urbanest on Bank Street in Adelaide’s lively cultural precinct, an ideal perfect location for students. It is within easy reach of UniSA’s city and metropolitan campuses, Rundle Mall shopping, the Central Market, Chinatown, and the West End’s vibrant nightlife. It is also across the road from the Adelaide train station, and on bus and tram routes.

Student services

Student services

Our student services provide you with all the support you need at university. You can access a full range of support services including academic and personal counselling, career advice, social support services, as well as those through our student association, USASA. When you become a UniSA student, you can also contact Campus Central for help with anything related to your degree. They will help you with your enrolment, ID cards, fees, timetables and more.

24/7 digital environment

Our learnonline facilities include a personal learning environment with virtual classrooms, lecture recordings, emails, learning support, administration, library access and results. The environment is available 24 hours a day, seven days a week, so you can tailor your learning to your life. We are continually investing in innovative digital technologies for a high-quality student learning experience.

Student services

Your campus

We have six campuses in metropolitan and regional areas, each with advanced facilities including modern lecture theatres, libraries and laboratories, as well as spaces that simulate real work environments.

Location This degree is delivered at the following campus.

Your program director

Dr Nick Fewster-Young is the Program Director of Data Science, and is active teaching in the discipline and statistics since he started here in 2016. He completed his PhD at University of New South Wales in 2014, and is still an active researcher in the field of Dynamical Systems, and statistics, in particular investigating real world applications in terms of mathematical formulations and providing understanding and the validity of the models in terms of qualitative and quantitative results. Real world applications in the fields of quantum physics, thermodynamics, fluid mechanics, chemical engineering and cancer research with several publications in high profiled international journals in the field of Dynamical Systems, and statistics relating to educational studies and learning in Higher Education.

Dr Nick Fewster-Young

Program Director

Portrait image for Dr Nick Fewster-Young
Portrait image for Dr Nick Fewster-Young

Dr Nick Fewster-Young

Program Director


Ask UniSA

More FAQs