In this subject, students apply new technologies such as DLT and various machine learning algorithms to solve fundamental problems in finance
NEW IN SEMESTER 2, 2020
Technology has been transforming the financial industry, with the potential to deliver existing financial product and services more effectively and to develop new ones. This subject introduces fundamental economic concepts (including money, moral hazard, property rights and bank runs) and psychological concepts (including engagement, trust and privacy) relevant to major problems faced by the financial sector. It also discusses new technologies (such as big data, distributed ledgers, artificial intelligence, machine learning and natural language processing) underlying real-world fintech applications. The focus is on core concepts and foundations, with the aim to develop students' ability to actively participate in creating fintech solutions.
INTENDED LEARNING OUTCOMES
- Demonstrate knowledge of key fundamental economic and psychological concepts relevant to major real-world problems in the financial sector
- Demonstrate basic knowledge of techniques in artificial intelligence and machine learning
- Apply relevant techniques from artificial intelligence and machine learning to key finance problems
- Identify major trends in fintech
- Distinguish the concept of disruption (adaptive change) from the concept of automation (change in process)
- Recognise opportunities to innovate
- Develop skills to innovate in fintech
- Learn to think outside the box
- Critically evaluate new ideas and the feasibility of implementation of those ideas
More information about the subject and how to enrol is available in the University of Melbourne Handbook entry.