Teaching and Research

UniSA has an excellent reputation in teaching and learning and an enviable record of achievement in graduate employability. Our teaching focuses around preparing students to be work-ready through relevant and industry-informed curricula. UniSA ensures its teachers motivate, challenge and stimulate students’ learning, with our research activity informing our teaching across our broad discipline profile.

Teaching and learning excellence are at the centre point of our promotion criteria, performance management practices, and approaches to rewards and recognition for our academic staff.

Research at UniSA is inspired by challenges and opportunities, partnered with industry and communities, and underpinned by excellence. Our academics engage in interdisciplinary teams to translate their research into meaningful outcomes. Contributing to a research environment that is vibrant, responsive and outward-facing are the University’s research themes. The themes link our research strengths and address local and global socio-economic needs:

• An age friendly world
• Transforming industries
• Scarce resources
• Cancer
• Healthy futures
• Transforming societies

Our flagship institutes and strategic alliances include the Future Industries Institute, Ehrenberg-Bass Institute, Sansom Institute for Health Research and the Centre for Cancer Biology. Further information about our enterprising research and research centres and concentrations can be found at our Research page.

Industry Connections

Real solutions don’t happen without great partnerships. We have partnered with local icons and international heavyweights to drive the advancements behind a better society. Across the University, we seek to match our research capability and strengths with the opportunities, challenges and needs of our partners, and maximise the mutual benefits of engagement.

With a growing presence on Adelaide’s cultural calendar and as a partner across arts, culture and sporting events, we’re acting on a social mission to enrich our society. Our campus spaces stimulate and foster creativity and innovation, support new models of learning, support our enterprise researchers and connect with the community.

Professional staff

As a professional staff member you get exposure to the research and teaching at UniSA, and work closely with leading academics who through research and teaching, are shaping the professionals of the future.

Professional staff support both staff and students, and this ranges from career advice services to students, finance, HR, marketing, facilities and management, research support – all of these areas are critical to supporting the day-to-day operations of departments and the university as a whole. There are numerous benefits and opportunities for personal development at UniSA.

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:

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
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
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  
data engineer: managing data workflows, pipelines, and ETL processes, preparing ‘big data’ infrastructure, working with data scientists and analysts
machine learning analyst: building and implementing machine learning models, developing production software through systems in big data production pipeline, working with recommendation systems, developing customer analytics solutions

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To be eligible for admission to the Graduate Certificate in Data Science, an applicant must:

• hold a Bachelor degree in Information Technology, or in Mathematics from a recognised higher education institution OR
• have a minimum of three years professional experience.

Applicants with a Bachelor degree from fields other than Information Technology or Mathematics, plus a minimum of 1 years professional experience, are also encouraged to apply and will be assessed on a case by case basis.