University of Adelaide

What you'll study

The programme focuses on developing a strong foundation in pure and applied mathematics, and on applying mathematical methods to model and solve problems across engineering, physical sciences, finance and data-driven domains. Core topics typically include calculus and advanced calculus, linear algebra, ordinary and partial differential equations, mathematical modelling, real analysis, numerical analysis and computational methods.

Students also study applied subject areas such as optimisation, mathematical statistics and probability, dynamical systems, computational mathematics and scientific computing. The degree emphasises hands-on experience with mathematical software, numerical simulation and algorithm development, and often includes a capstone or project unit where students work on a real-world modelling problem individually or in teams.

The standard structure allows students to combine applied mathematics units with elective courses from statistics, computer science or engineering, enabling specialisation in areas such as data analytics, numerical simulation, mathematical finance or operations research. Students who wish to pursue research or advanced professional practice can progress to an honours year or postgraduate study.

Entry requirements

Admission is based on a satisfactory secondary school qualification or equivalent tertiary study. Applicants are expected to have a strong background in mathematics from secondary school; Specialist Mathematics or equivalent higher-level mathematics is strongly recommended. Applicants who have completed university study may be considered on the basis of previous tertiary results.

Domestic applicants typically need to meet the university's standard admission criteria for undergraduate degrees; international applicants must meet equivalent academic requirements and demonstrate English language proficiency. Additional pathway options and recognition of prior learning may be available for mature-age and non‑traditional applicants.

Career prospects

Graduates of the Applied Mathematics degree are well placed for careers that require quantitative and analytical expertise. Typical roles include data analyst, quantitative modeller, numerical analyst, software developer, operations researcher, risk analyst and roles in engineering disciplines that require mathematical modelling.

Many graduates move into finance, insurance and consulting, while others work in government agencies, research organisations, technology companies and industry R&D. The degree also provides a strong foundation for further study leading to professional accreditation (for example in actuarial science with further study) or research careers via honours and postgraduate programmes.

Why study at University of Adelaide

The University of Adelaide offers research-led teaching through its School of Mathematical Sciences, with access to experienced academic staff working on applied and computational mathematics problems. Students benefit from modern computing facilities, opportunities for industry-engaged projects and collaborations across engineering, science and data disciplines.

The university provides support for undergraduate learning through small-group tutorials, project supervision and pathways to honours and postgraduate study. Its connections with local and national industry partners create opportunities for internships and practical experience that help graduates transition to professional roles.