Global Finance & Banking MSc

Program Overview

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Key information

Study mode: | 100% online
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Duration: | 2 years, part timeNext start date: | 9 September 2025Application deadline: | 12 August 2025Intakes: | September 2025, January 2026, and May 2026Tuition fees: | £27,378* (funding options and instalments are available)

These tuition fees may be subject to increases in subsequent years of study, in line with King's terms and conditions.

• Depending on your country of residence, you may also have to pay Goods and Services Tax (GST) in addition to your tuition fees. You can find further information on the King's Goods and Services tax page.

Course overview

As today’s global financial landscape evolves more rapidly than ever, it’s vital to stay ahead of the curve. Our expert academics have specially designed this course to help you achieve this and so much more. From future-proof risk management to financial data interpretation, we’ll equip you with the knowledge and skills necessary to excel in international finance.

Rooted in academic excellence and delivered by the triple-accredited King’s Business School, this programme offers a unique blend of theoretical methodologies grounded in real-world practice. As a graduate, you’ll unlock exciting new leadership positions, from asset management and finance consultancy to derivatives analyst and compliance officer roles.

Why choose this online MSc?

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Versatile skills

Develop highly transferable skills that prepare you for a wide range of specialisms, from financial technologies to risk management.

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Global perspectives

By connecting with an international cohort of like-minded learners, you’ll gain the breadth of insight required to navigate today’s intrinsically global financial landscape.

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New career paths

Your understanding of global finance, including markets, banking, and regulatory frameworks, will prepare you for roles in multinational corporations and investment banks.

What you'll study

This course is grounded in practice and focuses on applying cutting-edge theory to contemporary industry.

As an MSc student, you’ll:

• Delve into the logic behind finance theory, and use it to improve the way people do business.
• Gain an in-depth understanding of portfolio management, risk management, and econometrics.
• Learn how new and emerging tools and methods can solve real business problems.
• Develop the acumen required to predict risks and decision-making outcomes effectively.

How you'll learn

Get more information on the online student experience with King's.

Module overview

This online Global Finance & Banking MSc course is comprised of eight core modules, and seven optional modules. Each module counts as 15 credits, apart from the Research Project, which is a 30-credit module. You’ll need to take a total of 180 credits to complete the course.

The optional modules have been specifically designed to be studied in a non- linear order. The order in which you’ll study the modules will depend on when you begin the course.

Important: Students opting to take the Research Project module must study Introduction to Statistical Programming and Computational Finance first.

All core modules on the course are compulsory and you must pass all your chosen modules to complete the award.

Core modules

The following modules are compulsory for MSc students:

Quantitative Methods 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.

Investments (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.

Financial Statements (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.

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.

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.

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.

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.

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

You are required to take 60 credits of optional modules. The following modules listed below are optional and could be subject to change. 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 & 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.

Meet your Programme Director

Dr Fotis Papailias

Programme Director, Senior Lecturer in Banking and Finance

Dr Fotis Papailias specialises in time series econometrics. His research focuses on analysing and forecasting financial and macroeconomic series, dependent data resampling procedures, portfolio selection, and technical trading.

His work has been published in reputable academic journals and has practical applications in investment strategies.

How you’re assessed

Assessments are designed to test your knowledge, understanding and critical awareness of the topics discussed during the course. We’ll also look at your ability to analyse and apply specialist knowledge to practice. While these may vary between modules, they are likely to include one or more of the following:

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Projects

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Group presentations

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Written coursework

(including essays, dissertations and a research project)

Entry requirements

Standard requirements

You'll 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.

If you have a lower degree classification , or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a master's or PGDip).

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.

Non-standard entry requirements

Applications for candidates who fall outside of the standard entry requirements are still considered and are assessed on a case-by-case basis. This includes candidates applying based on professional experience and/or qualifications.

Non-standard applications must be supported by degree certificates or transcripts (where relevant) and a CV detailing your professional experience in the finance sector.

English language requirements

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.

Nationals of majority English speaking countries (as defined by the UKVI) who have permanently resided in this country are not usually required to complete an additional English language test. This is also the case for applicants who have successfully completed:

• An undergraduate degree (at least three years duration) within five years of the course start date.
• A postgraduate taught degree (at least one year) within five years of the course start date.
• A PhD in a majority English-speaking country (as defined by the UKVI) within five years of the course start date.

For information on our English language requirements and whether you need to complete an English language test, please see our English Language requirements page.

Personal statement and supporting information

Depending on your previous qualifications, you may need to submit a personal statement and a reference letter as part of your application.

You’ll need to submit a copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents.

You’ll need to submit your CV as part of your application to highlight your experience.

Career options in Global Finance & Banking

Our MSc in Global Finance & Banking will propel you towards a vast range of career prospects by providing specialised education in international finance. You’ll be equipped with a sought-after skill set in areas such as financial technologies and risk management, profound theoretical knowledge, and informed decision-making.

You’ll also stand out to employers due to your understanding of global finance – including markets, banking, and regulatory frameworks. This knowledge is crucial for roles in multinational corporations and investment banks. You'll also foster versatile soft skills such as critical thinking, analytical skills, and a global mindset, which will position you for success in leadership roles.

Here are just a few examples of the career opportunities you’ll be able to pursue as a graduate of this course:

• Investment Banking Analyst
• Financial Risk Manager
• International Corporate Treasurer
• Portfolio Manager
• Financial Consultant
• Asset Manager
• Treasury Analyst
• Compliance Officer
• Global Financial Analyst
• Commercial Banker
• Hedge Fund Manager
• Private Equity Associate

Program Outline

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Outline:

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The program focuses on:

• Applying cutting-edge theory to contemporary industry.
• Developing skills in portfolio management, risk management, and econometrics.
• Learning how to use new tools and methods to solve real business problems.
• Predicting risks and decision-making outcomes effectively.

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The course is comprised of:

• Eight core modules, totaling 15 credits each, except for the 30-credit Research Project module.
• Seven optional modules, totaling 15 credits each.
• A total of 180 credits for completion.

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Order of modules studied depends on:

• The program start date.
• Opting for the Research Project requires completion of Introduction to Statistical Programming and Computational Finance first.

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Core modules:

• Quantitative Methods for Finance and Banking
• Investments
• Financial Statements
• Financial Derivatives
• Corporate Finance
• Applied Risk Management for Banking
• Financial Econometrics
• Wealth Management

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Optional modules:

• Commercial Finance & Investment Banking
• Introduction to Statistical Programming
• Asset Pricing
• Computational Finance
• Behavioural Finance
• Global Tactical Asset Allocation
• Research Project

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Assessment:

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Assessments are designed to test:

• Knowledge
• Understanding
• Critical awareness of topics
• Ability to analyze and apply specialized knowledge to practice

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Assessments may include:

• Projects
• Group presentations

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Careers:

• Portfolio Manager
• Financial Consultant
• Asset Manager
• Treasury Analyst
• Compliance Officer
• Global Financial Analyst
• Commercial Banker
• Hedge Fund Manager

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Additional notes:

• The course is expected to equip graduates with a desirable skill set in areas like financial technologies and risk management.
• The course aims to provide a thorough understanding of financial theory and its practical application.
• Graduates will be equipped with the knowledge and skills necessary to excel in international finance.
• Graduates will be prepared for leadership roles in multinational corporations and investment banks.