University of Adelaide

What you'll study

This programme combines core physics with computational mathematics and practical programming. Early years develop foundational knowledge in classical mechanics, electromagnetism, quantum mechanics, thermodynamics and mathematical methods for physics, together with calculus, linear algebra and probability. Computational topics include numerical methods, scientific computing, algorithm design, data analysis and simulation techniques using languages and tools common in research and industry (for example Python, C/C++, or MATLAB).

Laboratory and practical work is integrated throughout to develop experimental skills, instrumentation and error analysis. Later-stage and elective subjects typically cover quantum dynamics, statistical mechanics, computational condensed matter, computational fluid dynamics, machine learning for physical systems, optimisation, and high-performance computing. The degree normally includes a substantial capstone project or research-led minor project where students put simulation and analysis skills into practice on a real-world problem. Students who wish to pursue research can typically transfer to an honours year or follow postgraduate coursework and research pathways.

Entry requirements

Admission is competitive and based on satisfactory completion of secondary education or an equivalent qualification. Applicants are usually expected to have strong achievement in mathematics; advanced or specialist mathematics and physics at senior secondary level are advantageous. Proficiency in English is required; international applicants must meet the University’s English language requirements or provide an approved equivalent. Mature-age applicants and those with relevant diplomas or bridging qualifications are considered through recognised entry pathways.

Career prospects

Graduates gain a blend of physical insight and computational skills that are in demand across a wide range of sectors. Typical career paths include:

• Scientific and research computing — modelling physical systems in academia, government research institutes or national laboratories.
• Data science and analytics — extracting insight from large scientific and industrial datasets.
• Software engineering and development for scientific applications, simulation packages and instrumentation.
• Engineering roles in sectors such as aerospace, defence, energy and mining where simulation and numerical modelling are essential.
• Finance and quantitative analysis, where mathematical modelling and computational skills transfer to risk modelling and algorithmic trading.
• Further study — honours, MSc or PhD leading to specialised research careers or tertiary teaching.

Why study at University of Adelaide

The University of Adelaide has an established physics community and strong links to applied research centres, providing opportunities to work alongside active research groups in areas such as photonics, quantum science, materials and computational modelling. Students benefit from laboratory facilities and access to high-performance computing resources used for large-scale simulations. The Faculty emphasises research-led teaching and offers clear pathways into honours and postgraduate research programmes, as well as industry engagement and placement opportunities that help bridge study to employment.

Located in Adelaide, the university provides a compact campus environment with connections to local industry and research organisations, enabling collaborative projects and internships that can enhance practical experience and graduate employability.