Global Finance & Banking MSc Online
The Global Finance & Banking MSc Online covers financial data interpretation and future-proof risk management strategies. Learn about derivatives analysis, asset management and finance consultancy.
2 years
Part Time
Tuition: GBP 26,076
Paid Monthly: Pay in Instalment
Intakes: Sept 2026
Deadline: 28 Aug 2026
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 Global Finance & Banking MSc Online to students 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.
Are you ready to take on the challenge? Join the Global Finance & Banking MSc Online and take your career to the next level.
Global Finance & Banking MSc Online
Global Finance & Banking MSc Online
Assessment
- Assignments (no exams) and dissertation project
Benefits
The Global Finance & Banking MSc Online 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.
Career path
Eligibility
Standard entry 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.
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.
Personal statement and supporting information
Core Modules
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.
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.
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.
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.
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.
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.
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.
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
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.
Course fee
Global:
- Course Fee: GBP 26,076
+VAT if applicable
Fees are determined by where applicants are currently working and residing
GBP is Great British Pounds
Academics
Refaat Kazoun
Philippe Riewer
Ajith Kumar
What our student say
Khaled Abdullah Ahmed Nusair
University of Leicester
MBA
It was an exciting, interesting journey within the University modules, staff, tutors and program. The staff at Stafford are very supportive, cooperative and professional, I am really thankful to all of them.
