MSC in Healthcare Leadership

MSc in Global Finance and Banking

In today’s swiftly evolving global financial realm, staying ahead is paramount. This course, meticulously crafted by our esteemed academics, is tailored to propel you towards success and beyond. From future-proof risk management to deciphering financial data, we’ll furnish you with the expertise needed to thrive in international finance. Delivered by the triple-accredited King’s Business School, this program seamlessly integrates theoretical frameworks with practical insights. As a graduate, you'll unlock diverse leadership avenues, spanning asset management, finance consultancy, derivatives analysis, and compliance officer roles. With a focus on versatile skill development, global perspectives, and new career trajectories, our MSc in Global Finance & Banking equips you with a sought-after skill set for success in today's intricate financial landscape.

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Program Overview

The MSc in Global Finance & Banking from King's College London offers versatile skill development, global perspectives, and new career trajectories. By connecting with an international cohort, gain insights to navigate the global financial landscape. This course equips students with sought-after skills in financial technologies and risk management, preparing them for roles in multinational corporations and investment banks. With a focus on practical application and cutting-edge theory, delve into portfolio management, risk management, and econometrics to predict outcomes effectively. Assessments test critical awareness and the ability to apply specialist knowledge to practice.

Online

University of Hull

January, May and September

24 months

You will need to meet one of the following criteria:
- A 2:1 honours degree (or above) in a business, finance or other quantitative subject area or international equivalent.
- A 2:1 honours degree (or above) in any subject area or international equivalents and at least two years’ relevant professional experience.
- A 2:2 honours degree (or above) in a relevant subject area or international equivalent and at least two years' relevant professional experience. 
Degree certificates or transcripts (including evidence of quantitative subject) will be required when submitting your application. If you’re required to provide evidence of your professional experience, you should also include a CV detailing your professional experience in the finance sector.
English language band: B
To study at King's, it is essential that you can communicate in English effectively in an academic environment. You’re usually required to provide certification of your competence in English before starting your studies.

Requirement

Tuition Fee

£26,076

Course Type

Master's degree

Modules

Core Modules

The following modules are compulsory for MSc students.

1) Quantitative for Finance and Banking (15 credits)

This module introduces the quantitative methods and financial econometrics used in banking and finance.

You'll cover industry-standard techniques like Ordinary Least Squares estimation, Instrumental Variable estimation, Probability models, and more. Rather than simply learning about the methodologies, you’ll go further and focus on how they can be applied practically in empirical analyses.

2) Investment (15 credits)

In this module, you'll gain a thorough understanding of investment management processes using industry-standard methods employed by banks and financial institutions.

Focusing on the practical application of finance theory, you'll explore decision-making aspects such as investment rules, diversification, financial market theories, and risk management. By applying these to real-world scenarios, you'll develop a profound awareness of how contemporary investment techniques drive progress in finance.

3) Financial Statement (15 credits)

This module goes beyond standard accounting practices, focusing on the practical application of financial statement analysis. You'll explore its use in evaluating investments, assessing ongoing business value, and gauging corporate performance.

Additionally, you'll learn how it’s used in critical operations like risk identification and management. You’ll become proficient in interpreting key financial statements, ratios, and recognising potential pitfalls.

4) Financial Derivatives (15 credits)

This module introduces financial derivatives, covering key contracts like Futures, CDOs, CDS, and some Exotic Options. Focusing on practical use, pricing methods, and arbitrage concepts, you’ll learn why and how derivatives are used in industry for hedging and speculation.

You'll delve into various pricing approaches and applications, including the Binomial Tree Approach, the Black Scholes Model and the Monte Carlo Method for pricing financial derivatives.

5) Corporate Finance (15 credits)

This module introduces Corporate Finance and Mergers and Acquisitions, led by an experienced industry practitioner in M&A advisory and Merger Arbitrage Trading.

It covers Corporate Finance professionals' responsibilities, focusing on modeling tools for valuing projects and companies. The module also explores the roles of traders and portfolio managers, particularly at hedge fund and asset management firms.

6) Applied Risk Management for Banking (15 credits)

This module focuses on practical risk management in the financial industry, exploring types of risks and effective mitigation tools and processes used by institutions.

It goes beyond risk identification, covering analyses of the financial system, key portfolio risks for banks, methods for managing diverse risk types, and an overview of main risk models for managers. By the end of this module, you'll have a solid understanding of contemporary risks in the financial sector.

7) Financial Econometrics (15 credits)

This module introduces econometric techniques in finance. You’ll explore empirical research on asset returns, market efficiency, and pricing models like CAPM, APT, and consumption-based CAPM.

You'll focus on applying the methodology in practical empirical analyses of real finance issues. By the end of this module, you’ll have enhanced your analytical, report-writing, and critical research evaluation skills.

8) Wealth Management (15 credits)

This module delves into the regulatory framework of Wealth Management for both companies and individuals in modern banking. Topics include client rights, complaints, money laundering, and best execution. You'll explore client profiling for building tailored wealth portfolios, and how they translate into investment guidelines.

The module covers major asset classes, investment approaches, and wealth solutions such as insurance and pensions within the broader wealth portfolio context.

Optional Modules

The following modules are optional. You must select four of them, and they must total up to 60 credits. Please note that if you would like to take the Research Project, you must study Introduction to Statistical Programming and Computational Finance first.

Commercial Finance and Investment Banking (15 credits)

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.

Introduction to Statistical Programming (15 credits)

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.

Asset Pricing (15 credits)

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.

Computational Finance (15 credits)

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.

Behavioural Finance (15 credits)

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.

Global Tactical Asset Allocation (15 credits)

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.

Research Project (30 credits)

This module aims to provide thorough training in applying data analytics to economics, banking, and finance problems. It covers a wide variety of cutting-edge techniques, including Classical OLS, Time Series Analysis, Machine Learning, and Volatility estimation.

Through real research examples, you’ll gain a clear understanding of writing a research project. You’ll explore a wide variety of topics ranging from investments, portfolio construction and corporate finance to big data analytics and cryptocurrencies. The module also presents comprehensive information on data availability in King’s Business School.

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