Degree overview

• Develop your problem solving and analytical skills in modelling, optimisation, applied probability and differential equations.
• Enjoy a diverse and flexible study program exploring the relationship and application of mathematics to areas such as physics, engineering, information technology and biology.
• Graduate work-ready with sound knowledge in applied mathematics and strong multi-disciplinary skills.
• Gain real-world experience with a major project or completion of the Maths Clinic program working closely with an industry partner.
• Join an exceptional cohort of students learning from educators dedicated to training to next generation of mathematicians and data scientists.
• Gain access to a diverse range of researchers in pure and applied mathematics working together to discover, understand, interpret and apply mathematics to important industrial and social problems.
• Study at a university with research in the field of mathematical sciences, applied mathematics and statistics ranked well above world-class1.
• Pursue a career in industry across a range of sectors or consider building your expertise with a research degree.

Career outcomes

Careers to consider:

• Biostatistician: using or applying mathematics and statistics to various categories in biology; designing biological experiments primarily in the field of agriculture and medicine; collecting, dissecting, and summarising data and releasing information based on the findings of that data
• Science and the environment: modelling in food security, climate change and weather forecasting and renewable energy solutions; use data analysis and mathematical modelling to make evidence-based decisions.
• Health and society: modelling of infectious disease and making evidenced-based recommendations; biomedical engineering and data analysis; epidemiology.
• Engineering and resources: modelling for more efficient minerals processing, particularly for rare minerals.
• Business, marketing and finance: interpreting data to optimise processes and make effective decisions; forecasting; cryptocurrencies.
• Technology: digitisation, automation, optimization of processes; artificial intelligence; using your logical thinking and creativity to solve problems.
• Security and defence: modelling for defence optimisation; cybercrime
• Transport and logistics: optimisation and managing strings of processes; infrastructure modelling.

Gallery

Video Gallery