MSc Global Human Resource Management

This module introduces key concepts in commercial and investment banking. Topics include the functions of financial intermediaries, central banks, financial regulation, market structure, and banking efficiency.

You’ll focus on understanding bank risks and exploring tools for controlling and absorbing failures. You’ll gain a comprehensive understanding of modern banking management, optimal portfolios, and credit risk.

This module will introduce you to the basics of statistical programming. You’ll use mostly R and be introduced to Python. You’ll focus on the basic tasks of data loading, data preparation, data cleaning, basic statistical analysis and output visualisation. Throughout this process you’ll learn to write loops, simulate and analyse data, which will be useful in many subsequent modules.

This module introduces asset pricing theory and its practical applications in banking and asset management. You’ll explore derivatives pricing, decomposition of risk factors (known as “Greeks”), and both single and multi-factor models (e.g., Fama and French ’93).

You’ll also look at portfolio construction methods like mean-variance, and advanced models such as multi-factor robust optimisation. With a heavy focus on practice, you’ll get a clear understanding of academic research and industry trends.

This module focuses on using traditional and modern computational methods for pricing and managing risk in financial derivatives. It covers simulation methods like Monte Carlo, and grid methods such as trees and Finite Differences. There is also a substantial programming component using Matlab and Python. This module is a must for students aspiring to work with quant libraries, providing hands-on experience in pricing and risk management calculations.

In this module, you’ll gain both theoretical and practical insights into the financial decision-making process for investors and traders, with a focus on electronic finance. Recognising the recent developments in financial markets, you’ll develop your understanding of the psychology influencing markets, investors, and traders when analysing market dynamics.

This module enhances investment decision-making and portfolio management, with practical insights and cutting-edge methodologies used by professional portfolio managers.

It covers modeling asset price procedures, understanding empirical research findings, and addresses diverse issues relevant to portfolio management. By the end of this module, you’ll master portfolio management and risk concepts. Consequently, you’ll be adept at constructing advanced portfolios, navigating business challenges, critically assessing global investment selections, and using various asset pricing models.