This advanced, one-year, full-time degree focuses on quantitative methods and the role of data in decision-making. Discover how data can drive decision-making through statistical and quantitative analysis, explanatory and predictive modelling and fact-based management. You will learn from experts in computer science, statistics, mathematics and business management and become a skilled user of SAS, R, Python, Tableau and other tools. The Personal Effectiveness Program, which runs throughout the program, will also develop your ability to communicate with confidence the business value of your analytics insights to decision makers.

Your undergraduate degree should be from a recognised institution with a minimum GPA of 65 per cent. Demonstrated academic success in quantitative subjects and a natural talent and passion for working with data – typically, your undergraduate degree will be Mathematics, Statistics, Actuarial Science, Computer Science, Information Systems, Engineering, Physics, Finance or Economics and Science. Ideally, you will have completed a sequence of two or three undergraduate or graduate statistics courses that include probability theory and regression analysis, although demonstrated mathematical preparation and quantitative aptitude may be considered sufficient in some cases.