Postgraduate Finance 2024-2025

The trend towards financial globalisation in recent years has impacted on all financial decisions, which has necessitated the understanding of international financial markets, especially for multinational businesses. This course analyses a wide range of issues in international finance and their practical applications. This course also examines the challenges and problems faced by firms in the global marketplace in doing international business during the next decade from the international finance perspective.

This course aims to cover the building blocks of financial management in the international business context.

It is of primary concern to corporate managers, and all the considerations needed to make financial decisions both inside and outside firms.

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

This course will introduce machine learning, artificial intelligence and forecasting with applications in finance. The course will explore recent trends in FinTech, which are based on data analytics and recent advances in machine learning.

The course is based on Python, which has become the dominant general-purpose programming language in data analytics and machine learning.

Students are required to take CS5076 Introduction to Programming in the first sub-session; hence, the course expects a basic level of programming skills in Python.

While violent crime has exhibited a considerable decline in most developed countries, financial crime and cyber-crime have flourished.

This course provides an overview of financial crime and major cyber security risks. To evaluate risk and develop preventive methods, it is important to learn how cyber-criminals work.

This course follows strict ethical hacking guidelines.

We introduce the main tools used by cyber-criminals including the dark web, TOR hidden services, private operating systems, cryptocurrencies, encryption, scanning, enumeration, and penetration testing.

Students are required to take CS5076 Introduction to Programming in the first sub-session; hence, the course expects a basic level of programming skills in Python.

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

This course provides students with an understanding of the financial system by introducing students to the reasons for, and nature of, financial markets and financial institutions, before moving on to explore the need and importance of regulation, investigate the causes and consequences of the recent 2008 Global Financial Crisis, and discuss future reform.

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

Becoming a Certified Financial Analyst charter holder is the aspiration of every finance industry professional. This course covers the CFA syllabus courtesy of our friends from FitchLearning who will teach you week by week and prepare you for the CFA level 1 exam. You will also write an essay reflecting on professional and academic approaches to finance