Why choose International Banking and Finance MSc at Middlesex?
The banking and finance industry has become a major driver of technological innovation, including machine learning, big data analysis, and algorithm trading. Based near the heart of the UK's financial centre, our MSc International Banking and Finance degree provides the foundations for a career in financial services and the banking industry.
- Contemporary sector focus: Study financial regulation, risk management, corporate finance, banking institutions, equity analysis, and securities markets, covering macroeconomic, corporate, computational, and quantitative aspects of the industry
- Advanced quantitative skills: Develop expertise in financial modelling, econometrics, quantitative risk management, and equity analysis
- Financial instruments knowledge: Gain a strong understanding of financial assets, including equities, fixed-income securities, and derivatives
- Financial engineering techniques: Apply financial engineering and quantitative methods to evaluate financial instruments and market performance
- Industry-standard databases: Train using professional financial databases such as Datastream, Eikon, and Thomson Reuters
- Regulation and compliance: Understand banking theory alongside the regulation and compliance requirements of financial institutions.
This course provides both theoretical and practical knowledge, equipping you with the technical, analytical, and professional skills needed to enter the fast-paced banking and financial services industry.
3 great reasons to pick this course
About your course
Our modules are specifically structured to give you plenty of time to utilise large amounts of data and explore complex subjects to their fullest. The course will equip you with the theory and practice needed to communicate and evaluate empirical work, as well as give you valuable training in specialist databases and software packages. You will then move on to explore relevant theories such as financial derivative products, international financial regulation, financial risk management and key aspects of equity analysis and corporate finance, as well as how to apply them to practical situations in the financial sector. The dissertation research project is a chance for you to extend your knowledge of a selected topic and apply it to the formulation and design of a substantive investigation.
Compulsory
This module introduces essential econometric techniques and their application in financial modelling, utilising big data approaches. It covers a diverse range of topics, including cross-sectional and time series econometrics, basic panel data analysis, and the integration of big data methods to complement traditional financial models. Students will develop skills in managing and analysing large datasets, performing robust statistical analyses, and building predictive financial models. The module emphasises practical implementation, using tools like Python, STATA, and R to apply econometric models and data analysis techniques effectively to financial datasets.
This module aims to provide an overview of the nature and operation of international financial markets and their traded instruments. You are introduced to the organisation of the international financial system, the markets for foreign exchanges, stocks, bonds, commodities, and the risks and opportunities offered in these markets and systems. You gain essential knowledge for their future career in business, especially in the financial sector.
This module aims to equip your with knowledge essential to critically engage with modern financial risk management theory and practice undertaken by both financial and non-financial institutions. It offers advanced study of key issues, including categories of managed financial risk, the arbitrage-free theory of spot-forward price relations, valuing optionality in a financial risk environment, a comparison of over-the-counter and exchange-traded risk management arrangements, the limitations of risk management techniques and the evolving regulatory environment. You will be able to develop risk modelling skills, analytical and quantitative skills through engagement with current market data on Bloomberg Financial Database and Capital IQ.
This module aims to provide students with a comprehensive understanding of equity analysis, portfolio theory and portfolio insurance. Students will explore different approaches to analysing equities, including assessing market dynamics and interpreting financial statements. Portfolio theory will introduce students to the principles of constructing diversified portfolios, optimising allocation and managing risk and return effectively. Students will explore strategies to hedge portfolios against market declines, developing essential skills for proactive risk management within the broader context of investment management.
The module aims to advance students’ understanding of modern banking systems and institutions, utilising economic theory and empirical evidence. A wide range of different topics explore the complexity and integrated nature of international banking systems and regulation. The module emphasises the relationship between financial systems and economic performance, particularly the mechanisms by which the former may help to improve resource allocation and economic growth and stabilise banking systems. It also examines the causes of weaknesses in financial systems, including the roots of financial crises. The investigation of emerging issues and contemporary trends in domestic and international banking is also an important part of this module.
This module deals with basic statistical methods and explores the application of these methods to analytical models in finance. You will gain the analytical and programming skills necessary to pursue empirical studies in finance. You will also be encouraged to use previous knowledge in statistics and computer programming.
Optional
The module provides you with the opportunity to select your own specialised research topic in the area of financial management. You will be expected to apply relevant theoretical frameworks, the existing seminal and the most up-to-date scholarly literature together with the relevant research methodologies and methods whilst conducting your research. You will be required to independently plan, organise, and coherently produce a limited but a well-researched work.
The module aims to empower you to apply the comprehensive knowledge and skills acquired in your programme to undertake a significant practice-based project that aligns with your professional interests and career aspirations. Through this project you will demonstrate your
ability to identify, analyse, and solve a business challenge, issue, or opportunity while applying theoretical knowledge to practical business contexts. Additionally, you will showcase your proficiency in conducting research relevant to your project, which includes engaging with appropriate literature, collecting and analysing data, and effectively communicating your findings and recommendations. The project represents the culmination of your learning experience.
This module introduces essential econometric techniques and their application in financial modelling, utilising big data approaches. It covers a diverse range of topics, including cross-sectional and time series econometrics, basic panel data analysis, and the integration of big data methods to complement traditional financial models. Students will develop skills in managing and analysing large datasets, performing robust statistical analyses, and building predictive financial models. The module emphasises practical implementation, using tools like Python, STATA, and R to apply econometric models and data analysis techniques effectively to financial datasets.
This module aims to provide an overview of the nature and operation of international financial markets and their traded instruments. You are introduced to the organisation of the international financial system, the markets for foreign exchanges, stocks, bonds, commodities, and the risks and opportunities offered in these markets and systems. You gain essential knowledge for their future career in business, especially in the financial sector.
This module aims to equip your with knowledge essential to critically engage with modern financial risk management theory and practice undertaken by both financial and non-financial institutions. It offers advanced study of key issues, including categories of managed financial risk, the arbitrage-free theory of spot-forward price relations, valuing optionality in a financial risk environment, a comparison of over-the-counter and exchange-traded risk management arrangements, the limitations of risk management techniques and the evolving regulatory environment. You will be able to develop risk modelling skills, analytical and quantitative skills through engagement with current market data on Bloomberg Financial Database and Capital IQ.
This module aims to provide students with a comprehensive understanding of equity analysis, portfolio theory and portfolio insurance. Students will explore different approaches to analysing equities, including assessing market dynamics and interpreting financial statements. Portfolio theory will introduce students to the principles of constructing diversified portfolios, optimising allocation and managing risk and return effectively. Students will explore strategies to hedge portfolios against market declines, developing essential skills for proactive risk management within the broader context of investment management.
The module aims to advance students’ understanding of modern banking systems and institutions, utilising economic theory and empirical evidence. A wide range of different topics explore the complexity and integrated nature of international banking systems and regulation. The module emphasises the relationship between financial systems and economic performance, particularly the mechanisms by which the former may help to improve resource allocation and economic growth and stabilise banking systems. It also examines the causes of weaknesses in financial systems, including the roots of financial crises. The investigation of emerging issues and contemporary trends in domestic and international banking is also an important part of this module.
This module deals with basic statistical methods and explores the application of these methods to analytical models in finance. You will gain the analytical and programming skills necessary to pursue empirical studies in finance. You will also be encouraged to use previous knowledge in statistics and computer programming.
The module provides you with the opportunity to select your own specialised research topic in the area of financial management. You will be expected to apply relevant theoretical frameworks, the existing seminal and the most up-to-date scholarly literature together with the relevant research methodologies and methods whilst conducting your research. You will be required to independently plan, organise, and coherently produce a limited but a well-researched work.
The module aims to empower you to apply the comprehensive knowledge and skills acquired in your programme to undertake a significant practice-based project that aligns with your professional interests and career aspirations. Through this project you will demonstrate your
ability to identify, analyse, and solve a business challenge, issue, or opportunity while applying theoretical knowledge to practical business contexts. Additionally, you will showcase your proficiency in conducting research relevant to your project, which includes engaging with appropriate literature, collecting and analysing data, and effectively communicating your findings and recommendations. The project represents the culmination of your learning experience.
To find out more about this course, please download the International Banking and Finance MSc course specification (PDF).
We review our courses regularly to improve your experience and graduate prospects so modules may be subject to change.
Teaching
Alongside lectures and seminars, you'll learn through individual and group presentations. This academic-focused work will be augmented by sessions and training in computer labs, including our Financial Markets Lab. You will also be shown how to collect data from resources such as Datastream, and CapitalIQ.
In group workshops, you'll explore key ideas and apply them through practical class exercises. You'll build your understanding by doing guided reading from textbooks and journal articles. In seminars and computer labs, you'll tackle real-life problems and find solutions, helping you develop your thinking skills. You'll also discuss topics and theories in class, and use what you’ve learned to write your dissertation.
The course also includes several workshops on the various aspects of writing a dissertation delivered by academics who have produced high-quality, internationally-reputed research.
You will be studying at our leafy north London campus in Hendon as well as the opportunity to study on our Dubai Campus as a part of your course.
In a typical year, you’ll spend about 1200 hours on your course.
Outside of teaching hours, you’ll learn independently through reading articles and books, working on projects, undertaking research, and preparing for assessments including coursework and presentations.
Whether you are studying full or part-time – your course timetable will balance your study commitments on campus with time for work, life commitments and independent study. We aim to make your timetable available at least 2 weeks before you the start of term. Some weeks are different due to how we schedule classes and arrange on-campus sessions.
Typical weekly breakdown
A typical week looks like this:
| Learning | Contact Hours per Week |
|---|---|
| On-campus | 12 |
| Independent Study | 38 |
Learning terms
On-campus: This includes tutor-led sessions such as seminars, lab sessions and demonstrations as well as student-led sessions for work in small groups.
Independent study: This is the work you do in your own time including reading and research.
Part-time study
You can also study this course part-time over two years.
You have a strong support network available to you to make sure you develop all the necessary academic skills you need to do well on your course.
Our support services will be delivered online and on campus and you have access to a range of different resources so you can get the help you need, whether you’re studying at home or have the opportunity to come to campus.
You have access to one to one and group sessions for personal learning and academic support from our library and IT teams, and our network of learning experts. Our teams will also be here to offer financial advice, and personal wellbeing, mental health and disability support.
Your knowledge and understanding will be assessed by presentations, in-class tests, and written assignments in the form of individual and/or group coursework and through the research and writing undertaken to complete your dissertation.
You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress.
Each term, you'll get regular feedback on your learning.
Facilities and support
Our Sheppard Library has over 1000 study areas and 600 computer spaces
Careers
How can the International Banking and Finance MSc support your career?
Our postgraduate courses have been recognised for their ability to support your career. We are a top 10 UK University for employability (UniCompare Rankings 2025), and a top 10 UK university for industry connections and funding in Times Higher Education Young University Rankings 2024.
Career paths
Some of the roles our graduates have gone on to work in include investment management, hedge fund management, equity, bond and foreign currency markets, corporate treasury management and risk management.
Some of the roles our graduates have gone on to work in include:
- Investment Analyst
- Fixed Income Trader
- Quant Trader
- Treasurer
- Hedge Fund Management
- The Equity, Bond and Foreign Currency Markets
- Corporate Treasury Management,
- Derivatives and Risk Management
- Credit Analyst
Entry requirements
Qualifications
We welcome applications from all backgrounds. This course is particularly suited to those with a degree in accounting, finance, economics or a subject with a strong quantitative element such as mathematics, statistics, engineering, physics, computing or the sciences. If you have relevant qualifications or work experience, we may be able to count this towards your entry requirements.
For this course, we are looking for these qualifications:
- A 2.2 honours degree, ideally in a quantitatively focused subject such as accounting, finance, economics, mathematics, statistics, engineering, physics, computing or science
- Graduate-level professional qualifications
Personal statements
Make sure that you highlight your best qualities in your personal statement that are relevant to this course. Such as your ability to be forward-thinking, creative and collaborative.
Interviews
You won’t be required to attend an interview.
We welcome students from the UK and all over the world. Join students from over 122 countries and discover why so many international students call our campus home:
- Quality teaching with top facilities plus flexible online learning
- Welcoming north London campus that's only 30 minutes from central London
- Work placements and networking with top London employers
- Award-winning career support to get you where you want to go after university.
Qualifications
We accept a wide range of international qualifications. Find out more about the accepted qualifications on your country's support page. If you are unsure of the suitability of your qualifications or would like help with your application, please contact your nearest international office.
English language
You will need to meet our English language requirements. And, don’t worry If you don't meet our minimum English language requirements, as we offer a Pre-sessional English course.
Visas
To study with us in the UK, you might need a Student visa. Please check to see if this applies to you.
Apply as early as possible to make sure you get a place. You can submit your application before you receive your final qualification.
Find out how to apply for postgraduate taught courses and watch our step-by-step video.
Register your interest
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Fees and funding
The fees below are for the 2026/27 academic year:
UK students1
Full-time students: £13,300
Part-time students: £88 per credit
Part-time students: £44 per dissertation credit
International students2
Full-time students: £18,750
Part-time students: £125 per credit
Part-time students: £63 per dissertation credit