A research project designed for those final year MSci students on the Neurosciences programme whose major stream is in the Faculty of Life Sciences. A range of...

MSci Research Project in Neuroscience (NEUR0003)

A research project designed for those final year MSci students on the Neurosciences programme whose major stream is in the Faculty of Life Sciences. A range of project titles will be offered within the Faculty to complement the taught material in such streams. Under supervision, students will carry out original experimental and/or modeling work. They will then write a dissertation critically analysing and presenting their results. Students will also be expected to defend an oral presentation of their work.

This module builds upon the knowledge acquired in core modules such as asset pricing and portfolio management but from a practical perspective. The objective...

Wealth Management and Private Banking (MSIN0228)

This module builds upon the knowledge acquired in core modules such as asset pricing and portfolio management but from a practical perspective. The objective is to apply the knowledge acquired to the real role of private bankers or wealth management professionals, focusing not only in risk management or  portfolio performance but on the skills needed to build trust with high net worth customers.

The specific emphasis of this module will be on how to develop and grow client relationships that lead to an increase in the assets under management for any private bank or WM institution by identifying clients financial needs and delivering returns while being able to manage risk accordingly.

Risk free rates, equity risk premium and markets efficiency will be covered from a practical perspective, to understand how today’s Wealth Managers deal with current challenges.

The Ethics of Artificial Intelligence (MSIN0212)

This is an advanced module and designed for students who have studied management topics previously. The content will cover complex topics which are not suited to students with no prior knowledge of subjects related to the field.

This module explores the ethics of artificial intelligence in the context of autonomous technologies that involve the transfer of control and governance from human beings to robots and other intelligence systems. Normative and behavioural theories of ethics are used to explore the implications of artificial intelligence in the areas of liability associated with ownership of AI, agency and privacy, biases, malicious and harmful use of AI, and the rights of artificially intelligent beings.

After successfully completing the module, the students will be able to:

Demonstrate knowledge of the legal and ethical liability arising from the ownership and control of AI.
	Identify the behavioural and psychological effects of the interaction between human beings and intelligent systems and appraise their morality from the viewpoint of agency and privacy.
	Understand how AI can enhance biases related to, for example, gender and suggest measures for eliminating such biases.
	Propose ways of preventing and controlling the malicious and harmful use of AI.
	Use concepts and theories of ethics to present credible arguments about the rights of artificially intelligent beings such as robots.