unisa logo

Start Date

1 year(s) full-time

Program Code

4GD100 (Internal)

Study as
Full-time or part-time


$AU 29,400 per 1.0 EFTSL for students enrolled in 2020

Degree overview

  • Enter the revolutionary area of big data where there is a strong demand for data scientists1.
  • 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 the leader in business analytics software – SAS.
  • Benefit from UniSA’s lead role in the $88 million Data to Decisions Cooperative Research Centre.
  • 100 per cent of our assessed research rated at or above world-class2.
  • On-campus and online study options available.

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

22018 Excellence in Research for Australia (ERA), 4-digit Fields of Research. 



Enter the revolutionary area of big data where there is a strong demand for data scientists1. 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.

There is an acute shortage of data scientists, with a McKinsey Global Institute report projecting a 50 per cent gap between projected demand and supply by 2018. Demand for professionals with strong data management and analytic skills is expected to grow. Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate data management strategies.

This graduate diploma 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 decide to exit this qualification having completed the first four courses you will receive the Graduate Certificate in Data Science. If you finish this graduate diploma and want to do further study, consider going on to the Master of Data Science.

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

What you'll learn

What you Learn

In the Graduate Diploma in Data Science you will learn current techniques in data science, and how to apply this knowledge professionally. 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  
Semester 1
Big Data Basics INFS 5095 4.5
Statistical Programming for Data Science COMP 5070 4.5
Two of the following four courses Note(s): 1
Statistics for Data Science MATH 4044 4.5 Note(s): 2
Probabilities and Data MATH 4043 4.5 Note(s): 2
Relational Databases and Warehouses INFS 4019 4.5 Note(s): 3
Business Intelligence and Analytics INFS 4018 4.5 Note(s): 3
Semester 2
Predictive Analytics INFS 5100 4.5
Unsupervised Methods in Analytics INFS 5102 4.5
Research Methods INFT 4017 4.5
Data Visualisation INFS 5116 4.5

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 and 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.



Your studies at UniSA will incorporate both practical, professionally-focused and research-based learning, so assessment types will vary. You can expect them to include:

  • reports and project documentation
  • essays and assignments
  • examinations
  • group projects and presentations

Global opportunities

Enrich your studies and your life – make overseas study part of your qualification. Australian and international students may have the option to do an exchange, short-term program or study tour overseas. We have links with universities worldwide. 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 Diploma in Data Science

Why this Degree

With UniSA’s Graduate Diploma in Data Science you’ll develop current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both. You will learn to analyse and visualise rich data sources, how to spot data trends, and how to generate data management strategies. Your studies will also include courses in complex areas of data analytics such as:

  • predictive analytics
  • unsupervised methods in analytics
  • research methods
  • data visualisation

Our students also benefit from UniSA’s lead role in the $88 million Data to Decisions Cooperative Research Centre. 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 centres:

All have state-of-the-art facilities, with world renowned links and associations that provide a dynamic teaching and research base for our students.

Cooperative Research Centres

We are also proud to support a number of Cooperative Research Centres (CRC) bringing together researchers and research users, with an emphasis on collaboration through utilisation, commercialisation and technology transfer.

UniSA is the national headquarters for an $88 million CRC in big data. The Data to Decisions CRC is set to boost national security. It places UniSA at the forefront of industry and academic research collaboration. The CRC involves researchers in areas of computer science, engineering, business and law from UniSA, the University of Adelaide, University of New South Wales, Deakin University and Carnegie Mellon University, with industry input from IT and systems integration companies, consulting companies and SMEs in collaboration with state and federal national security agencies.

We also host regular University-wide employee master classes and employment expos, and alumni events in Australia and overseas.

Online study

Online study

This degree is offered online. This means that you:

  • will study online, including accessing access 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 the degree webpage.

Career outcomes

Your career

The field of data science 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 producing 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

1 Deloitte 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 areas 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 has a variety of accommodation options to suit different requirements and budgets. Options include dedicated student accommodation or private rentals. See our long-term accommodation pages for plenty of options. If you need somewhere to live, our new student accommodation by urbanest is on Bank Street in Adelaide’s lively cultural precinct, a 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 support services can make your life at university easier. We provide a full range of support services including academic and personal counselling. You can also access a range of services through our students association, USASA. When you become a UniSA student you can contact Campus Central for help with anything related to your degree. They will help you with your enrolment, ID cards, fees, timetables and any other questions you might have.

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, laboratories, and areas that simulate real work environments.

Location This degree is delivered at the following campus.

Your study spaces

You will benefit from our culture of innovation and start-ups. We’re helping IT entrepreneurs and innovators turn their ideas into start-up enterprises with a bright future. Through the Innovation and Collaboration Centre (ICC) you will access services and expertise including:

  • technology (DXC and UniSA IT)
  • design (matchstudio)
  • business growth (Centre for Business Growth)
  • business management
  • strategy and marketing
  • commercialisation (UniSA Ventures)
Your study spaces

Your program director

I am the Program Director for Master of Data Science and a lecturer at the University of South Australia. My research interests and experience include quantitative finance, financial risk management and environmental modelling.

Dr Malgorzata Korolkiewicz

Program Director

Portrait image for Dr Malgorzata Korolkiewicz
Portrait image for Dr Malgorzata Korolkiewicz

Dr Malgorzata Korolkiewicz

Program Director


Ask UniSA

More FAQs