University of Adelaide

What you'll study

The programme builds a foundation in computer science and information technology before progressing to specialist data analytics topics. Early years cover programming, algorithms, databases and systems thinking. Later, you study applied statistics, data mining, machine learning, data visualisation, big data technologies and cloud-based data processing. Practical subjects commonly include:

• Programming and software development (Python, R or equivalent)
• Database design and SQL
• Probability and inferential statistics for data analysis
• Data mining and predictive modelling
• Machine learning and applied artificial intelligence techniques
• Visualisation and dashboarding for business insight
• Big data platforms and cloud computing fundamentals
• Data governance, ethics and privacy
• Capstone project or industry-based practicum integrating technical and domain knowledge

Students can usually choose electives to tailor their degree toward areas such as business analytics, health data, geospatial analytics or software engineering. Coursework emphasises hands-on labs, project work and collaboration with industry partners.

Entry requirements

Admission is based on completion of a recognised senior secondary qualification or equivalent tertiary preparation. Applicants are typically expected to demonstrate competency in mathematics; many students enter with a background in high-level secondary mathematics or equivalent university preparatory studies. International applicants must meet the University of Adelaide's English language requirements or hold an approved English-medium qualification. The university also considers alternative entry pathways, including recognised prior learning, vocational qualifications and mature-age entry, and offers support for students transitioning into IT disciplines.

Career prospects

Graduates of the degree are prepared for roles that require both technical data skills and the ability to translate data into business or research insight. Common career outcomes include:

• Data analyst or business intelligence analyst
• Data engineer or database developer
• Machine learning or applied analytics practitioner
• Data visualisation specialist / dashboard developer
• Analytics consultant in industry sectors such as finance, health, government, retail and agribusiness

Employers value graduates who combine programming, statistical literacy and domain understanding; many alumni move into multidisciplinary teams, start-ups or continue to postgraduate study in areas such as data science, AI or information systems.

Why study at University of Adelaide

The University of Adelaide offers this programme with a mix of research-informed teaching and practical industry engagement. Students benefit from access to computing and data laboratories, software tools commonly used in industry, and opportunities for placement or collaborative projects with local and national partners. The university provides career services, industry networking events and pathways to honours or postgraduate research for students aiming to deepen their technical expertise. Located in South Australia’s capital, the University of Adelaide has strong links with government, health and technology sectors, helping graduates establish early-career connections.