Curtin Singapore Webinar

Predictive Analytics

Predictive Analytics in Business – Past, Present and Future.

The explosion of data in the past two decades has provided unprecedented opportunities to access large scale data across different industries. While such access can potentially lead to better informed decision, the process of extracting useful information from complex data is still a challenging, and often confusing, task.

This webinar examines the challenges in developing predictive analytic cycle by providing an overview on data analytics in business from a historical perspective with a focus on the evolution of data availability, scope and usage.

Date: Wednesday 2 December 2020

Time: 7.00pm to 8.30pm (GMT+8)

Venue: Zoom webinar

Cost: Free – Registration is required.

Register here

Associate Professor Felix Chan

About the speaker

Associate Professor Felix Chan
B.C.M. PG.Dip. (Applied Mathematics), B.Ec. (Hons. I), Ph.D. (WA), FMSSANZ
Curtin University

Associate Professor Felix Chan is the director of Center for Research in Applied Economics (CRAE) at Curtin University and an elected Fellow of the Modelling and Simulation Society of Australia and New Zealand. Associate Professor Chan had also served as an external consultant to the Commonwealth Grant Commission (CGC), Department of Treasury Western Australia and Chamber of Commerce and Industry (WA) on issues surrounding forecasting, data analytics and mathematical modelling. He received a bachelor degree in Computing and Mathematical Science (B.C.M) in 1996, a first-class honours degree in Economics (B.Ec.) in 2000 and received his PhD in Econometrics in 2005.  His research interests include theoretical and applied econometrics, applied statistics, risk management and information theory. He published in prestigious international journals including Journal of Econometrics, Econometric Theory, Journal of Applied Econometrics, Econometric Reviews, Scientometrics and International Journal of Forecasting.


Featured course

Graduate Certificate in Predictive Analytics – Part-time

Learn concepts of data analysis, computing and visualisation, and how analytics can be used to predict future scenarios.

In this course, you will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation. You will also find out how these concepts can be used to predict future scenarios.

Why study

  • Predictive analytics is an emerging field that allows us to utilise data in order to predict future outcomes, allowing companies to make better informed decisions and execute efficient strategies on disruptive technologies.
  • Predictive analytics can be applied to many fields of interest, from resource operations engineering, asset management and productivity, and finance and investment, to actuarial science and health economics.


Admissions are open for February 2021 intake.

Apply today or contact us for more information.