University of Adelaide

What you'll study

The programme provides a deep grounding in probability and mathematical statistics together with specialised subjects in applied statistics and computational methods. Core topics include probability theory, estimation and hypothesis testing, linear models and regression, multivariate analysis, time series, stochastic processes and experimental design. Students also study statistical computing and data analysis using contemporary tools (such as R and Python), and topics in Bayesian statistics, survival analysis or machine learning depending on elective choices.

The honours year focuses on advanced coursework and an independent research project or capstone thesis supervised by academic staff. The research component develops skills in problem formulation, advanced statistical methodology, simulation, reproducible analysis and scientific communication.

• Probability and measure-theoretic foundations
• Mathematical statistics: estimation, testing and asymptotics
• Linear models and regression diagnostics
• Multivariate methods and dimension reduction
• Time series and stochastic processes
• Bayesian inference and Monte Carlo methods
• Statistical computing, simulation and reproducible workflows
• Honours research project and advanced seminars

Entry requirements

Typical entry requires completion of secondary school qualifications equivalent to the Australian Year 12 with a strong emphasis on mathematics. Applicants are normally expected to have studied advanced mathematics or Mathematics Methods with high achievement. International applicants must present equivalent qualifications and meet the University's English language requirements.

Entry into the honours year usually depends on satisfactory completion of the undergraduate component with a strong grade-point average; progressing candidates are selected on academic performance and research potential. Some specialisations or research projects may require demonstrated competence in programming or prior coursework in probability and statistics.

Career prospects

Graduates are equipped for careers as professional statisticians, data scientists, quantitative analysts and research methodologists in sectors such as government, health and medical research, finance, insurance, manufacturing and technology. Specific roles include statistician, data analyst, biostatistician, research scientist, and risk modeller. The honours year also prepares students for postgraduate study (master's by research or PhD) and roles that require advanced analytical or research skills.

Why study at University of Adelaide

The University of Adelaide offers the programme within a research-active school that emphasises mathematical rigour alongside applied and computational skills. Students benefit from access to computing facilities, statistical consulting services and opportunities to collaborate with researchers across health, agriculture, engineering and industry. Small-group supervision in the honours year and links between staff and applied research projects provide practical experience that enhances employability and readiness for further study.