麻豆原创

This highly applied major challenges students to translate their mathematical knowledge into real-life applications. Learning in this major spans linear algebra, optimisation, statistics, complex analysis, programming foundations and regression, along with a choice of sub-major in Mathematics (Extension), Physics, Biotechnology, Environmental Science, Medical Science or Chemistry. The content inspires students to get hands-on with real-world challenges in statistics, modelling and industrial optimisation gain the skills to tackle unstructured datasets and prepare for a vast range of professional opportunities in post-graduation life.Graduates can apply their expertise across a vast range of sectors, from accounting and finance to marketing, transport, logistics and more. They can work as data scientists, analysts (data, market, quantitative finance, financial, systems, business, intelligence), managers (credit risk, financial portfolio, financial risk), mathematical modellers, programmers in diverse industries, statisticians (medical, sports, survey), policy advisors or as mathematics teachers or researchers.

Faculty of Science

040705B