Outline
Outline
As our economy becomes more data driven, financial and investment decisions will increasingly be guided by insights from data. This course bridges the gap between data analytics and finance and investment decisions.
You will develop a solid foundation in predictive analytics and its applications in finance and investment decision-making, using techniques from data mining, statistics, modelling, machine learning and artificial intelligence to analyse current data and make sound investment predictions.
You will also learn how best to communicate your ideas to stakeholders who do not possess any data analytics knowledge.
Please refer to the handbook for additional course overview information.
What jobs can the Finance and Investment Analytics lead to?
Careers
- Financial analyst
- Financial investment adviser
Industries
- Banking
- Brokerage
- Consultancy
- Government
- Private business
- Resources and renewables
What you'll learn
- understand the economic foundations of financial markets and how these foundations can manifest in reality via market data
- analyse market data in a logical, rational and critical way and correctly identify the information in the data
- obtain, evaluate and apply relevant econometric techniques to market data in order to obtain useful predictions to aid business decisions
- communicate effectively with a wide range of people from different disciplines, professional positions and countries; communicate financial data analytic findings via both verbal and written media
- evaluate and utilize appropriate technologies to construct data analytics for financial market data and to compute useful predictions that aid business decisions
- appreciate the need for, and develop, a lifelong learning skills strategy to pursue continuing development
- recognize the global nature of financial and investment analytics and apply international standard practices and skills to produce excellent prediction outcomes
- practice appropriate data collection methodologies in finance industry with consideration of and respect for cultural diversity, indigenous perspectives and individual human rights
- apply lessons learnt in all areas of finance and investment analytics, demonstrating leadership and ethical behaviour at all times