Standout to employers in the financial sector with a strong foundation in quantitative, mathematical and computational skills relevant to that industry.

Finance is a dynamic industry, with innovation in quantitative methods driving fast-growing areas such as FinTech. Advances in machine learning and increased availability of data are allowing organisations to make better decisions and improve their products and services.

Implementing these advances requires a new generation of graduates with a range of skills in quantitative, mathematical and data science fields.

This course will reinforce your mathematical skills across a wide range of topics and equip you with quantitative skills sought after by employers in the financial industry. You'll gain a broad education in classical and contemporary mathematical finance and data science methods relevant to modern financial institutions. You’ll develop a practical and theoretical understanding of machine learning and other data science tools, and the software skills needed to successfully implement them.

• IELTS: 6.5 overall with no less than 6.0 in all components
• The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
• TOEFL IBT: 90 overall with a minimum 21 in all 4 components

You will need to get your English language qualification within 24 months prior to starting your course.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

Find out what our graduates go on to do.