The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance.
It provides high-level training in statistics with applications in finance and econometrics. You will learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages.
The compulsory courses consolidate your understanding of fundamental ideas in probability and statistics and introduce advanced topics. You can choose options to focus on statistics with applications in social science or in finance and econometrics.
Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society if a specific combination of modules is taken.
The research stream is similar to the nine-month programme but involves a compulsory dissertation which replaces one unit's worth of optional courses and extends the length of the programme to 12 months.
The programme provides excellent opportunities for employment and further study. The programme is also conditionally accredited by the Royal Statistical Society. This means that although an accreditation is given, it will only lead to the award of ‘Graduate Statistician’ if you take a specific combination of modules.
Looking for high-quality training in statistics for research or for professional life? If so, consider KU Leuven's MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Choose from a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile.
This master’s programme is offered by the Leuven Statistics Research Centre (LStat) of KU Leuven. It is accredited by the Royal Statistical Society. You’ll be trained intensively in both the theoretical and practical aspects of statistics. The programme will also help you develop a problem-solving attitude and teach you how to apply statistical methodology.
This is an initial Master's programme and can be followed on a full-time or part-time basis.
The 120-ECTS programme consists of a common core curriculum (one semester), option-specific courses (one semester), elective courses (one semester), and a master’s thesis.
To tailor the programme to your needs and interests, you choose one of the following options:
LStat hosts international experts and is a stimulating environment for multidisciplinary statistical research. LStat is a privileged meeting space for statistics researchers from a range of domains:
The master of Statistics:
KNOWLEDGE AND INSIGHT
APPLYING KNOWLEDGE AND INSIGHT
DEVELOPING AN OPINION
DEPENDING ON THE CHOSEN OPTION, THE STUDENT MASTERS FOLLOWING ADDITIONAL LEARNING OUTCOMES:
As statistician, you'll be recruited by industry, banks or government institutions. You may find yourself designing clinical trials and supporting the biomedical sector, coaching research for new medicines, setting up and analysing psychological tests and surveys, performing financial risk analyses, statistically managing R&D projects and quality controls, or developing statistical software. And don't forget the academic world. The applications of statistics are very diverse, just like your professional options.
This programme is now closed but you may want to consider other courses such as the Mathematics MSc.
The Financial Mathematics MSc programme enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management. Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.
Financial Mathematics studies problems of optimal investment and risk management, and this course covers a diverse range of topics, from classical options pricing to post-crisis investment and risk management
Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.
Our Financial Mathematics MSc course is a unique study pathway that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets. You will explore probability theories, risk neutral valuation, stochastic analysis as well as interest rate and credit risk modules. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics.
The Financial Mathematics MSc programme offers you the choice to study either full or part-time and is made up of optional and required modules. You must take modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your programme will take two years to complete, you will study the required modules in the first year, and a further selection of required and optional modules including the 60-credit financial mathematics report module in your second year.
Bloomberg terminal laboratory
King’s is one of only a few academic departments in the UK that offers full access to Bloomberg terminals. These terminals will provide you access to live financial data. They are heavily used within the financial industry, and the data they provide is critical in assisting traders in making investment decisions and for risk managers monitoring investment probabilities. We have 13 Bloomberg terminals available for exclusive use by the Financial Mathematics MSc programme.
You will use the Bloomberg terminals to:
The skills you will learn from using the terminals are highly valued by employers. King’s is part of a strong network of financial mathematics in London with connections both in academia and in the industry.
We are also members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London, which includes Birkbeck, London School of Economics and Political Sciences, University College London and many others.
This programme is suitable for students or professionals with a strong mathematical background. It covers the principles and techniques of quantitative finance to prepare students for advanced work in the financial sector or research in mathematical finance.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
Average per week: Three hours for 11 weeks per each 15 credit module.
You are expected to spend approximately 10 hours of effort for each credit (so for a typical module of 15 credits this means 150 hours of effort).
The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations.
Our graduates are highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms, and trading companies. Recent employers of our graduates include, Capital Investment, Credit Suisse, European Bank for Reconstruction & Development, Fitch Ratings, HSBC and Morgan & Stanley. Some graduates have pursued research degrees in financial mathematics.
The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. It is an intensive, advanced, one-year programme for university graduates interested in a career in risk management, financial and/or actuarial engineering within financial institutions. The discipline focuses on the application of quantitative methods to problems involving risk or uncertainty. You will gain an understanding of current and future problems and solutions in insurance and banking and be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques.
The programme provides advanced insights into the actuarial aspects of life insurance, general insurance and risk theory as well as financial mathematics and the inter-relationship and integration of actuarial sciences and finance. The programme draws on over sixty years of experience and international recognition. The research team for risk theory, finance and statistics has a strong research profile and is ranked among the world top in terms of actuarial research productivity. The programme is jointly offered by the Faculty of Business and Economics and the Faculty of Science at KU Leuven, in collaboration with Université Catholique de Louvain.
The main goal of the programme is to provide the students with an sound knowledge of finance and actuarial science. They develop the capabilities to understand current and future problems and solutions in the actuarial and financial context. They will be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial master at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE), and the international actuarial professional body (IAA).
At the end of the programme students will:
The programme addresses the rapidly-changing needs resulting from the accelerating globalisation of the banking and insurance sector. As such, it provides a sound basis for a career in various areas of risk management, financial and actuarial engineering and insurance. Most graduates find employment in insurance companies, whose financial stability depends on actuarial calculations (e.g. premiums, provisions, capital requirements, reinsurance policy).
As an expert in the field of risk and uncertainty, you can also play an important role in banking and finance. The increasing convergence between the insurance and financial markets as well as the use of mathematically based instruments, such as options and futures, offers excellent career prospects. Graduates are well placed to find employment in banks, pension funds, reinsurance companies, consulting and audit companies.
Some graduates go to work in government, for instance in social security or economic affairs departments. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial Master's programme at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE).
Banking and financial services represents a highly competitive and rapidly changing sector in every modern economy. Changes in customer requirements, technology, competitive conditions and regulation create the need for managers, traders and analysts to make rapid and often far-reaching decisions about their short term operations and long term strategies. The MSc and MA in Banking and Finance degree courses at Bangor offer you a unique opportunity to study advanced theory and practice relating to financial services, and to develop an appreciation of the causes and significance of current developments in this vitally important and dynamic sector of the economy.
Issues you will tackle as part of your MA/MSc Banking and Finance degree programme include:
Why are the banking systems in different countries (such as the UK, Germany, Japan and the US) so diverse?
What determines the structure, performance and efficiency of banking and financial markets?
Why do banks and financial intermediaries exist?
What are the main theories of the banking firm?
How relevant are financial intermediaries in a world of increasing securitization and with the evolution of virtual banking?
How do banks optimally allocate capital?
Does bank regulation increase or decrease risks?
How do we measure the risks undertaken by banks?
Can regulators reduce the likelihood of systemic (system-wide) risk?
What are the relationships between risk and return governing investment in company shares and other derivative instruments?
Can market risk be priced accurately? Can credit risk be priced accurately?
How should institutional investors go about constructing a portfolio of assets to maximise returns on behalf of investors?
How can we assess the investment performance of pension funds, insurance companies and unit trusts?
How do banks use futures, options, derivatives and swaps to manage their balance sheet and off-balance sheet risks?
What are the key principles of international portfolio management in a world of fast and unpredictable movements in exchange rates?
How do banks manage their business so as to maintain customer relationships, improve operational efficiency and add shareholder value?
With these needs in mind, the MSc and MA Banking and Finance programmes at Bangor are designed to develop participants' existing skills through a scheme of specialist advanced study. An important objective is to provide participants with relevant analytical training, so that they are familiar with the latest theoretical and practical developments relating to banking, finance and capital markets. These programmes provide a coherent theoretical framework for the various subject areas, but the emphasis throughout is on advanced practical application of financial techniques in a real-world setting.
The availability of parallel MSc and MA degrees in Banking and Finance allows you to choose between registering for a more technical MSc degree (including a compulsory element in Financial Econometrics), and a less technical MA degree (for which Financial Econometrics is optional). The MSc degree may be more suitable for applicants with some previous background in mathematics, statistics or econometrics, while the MA degree is more suitable for applicants who prefer to adopt a predominantly non-quantitative approach to their studies. However, both degrees include a compulsory module in Research Methods, which includes coverage of both quantitative and non-quantitative research techniques.
The MA Banking and Finance is recognised by the Economic and Social Research Council (ESRC) as the first year of a 1+3 PhD training programme.
January intake: Taught modules are undertaken in the period of January to June and September to January and will involve the study of 120 credits. The dissertation (or equivalent) is valued at 60 credits and is undertaken during the period of June to September.
September intake: Taught modules are undertaken in the period of September to June and will involve the study of 120 credits. The dissertation (or equivalent) is valued at 60 credits and is undertaken during the period of June to September.
Research Methods: This module develops knowledge of intermediate and advanced research methods, and provides a basis in research methodology for those who may eventually wish to pursue research degrees.
Bank Financial Management: This module provides a grounding in the nature, strategic context and managerial functions of financial management in banks, and other financial services firms.
International Financial Markets: This module provides an overview of financial instruments in a multi-currency world, taking account of insights from portfolio theory concerning the relationship between risk and return, the diversification of risk, and the pricing of assets.
International Banking: This module examines the origins of international banking, the activities of international banks, the markets in which they participate, and the sources of risk.
Financial Crises and Bank Regulation: This module examines why banks and financial markets are inherently vulnerable to crises, and analyses the role of policy makers and institutions. The roles of monetary policy, bank supervision and regulation, corporate governance and ratings agencies in mitigating or exacerbating crises are considered.
International Financial Management: In this module the financial management of multinational companies and the influence of macroeconomic, fiscal, currency and political environments on business and financial decision-making are examined in an international and global context.
Islamic Finance: This course provides an insight into topical issues relating to Islamic financial instruments and related risk management issues.
Corporate Risk Management: This module provides an analysis of pure risk and its management.
Financial Institutions Strategic Management: This module examines the main theoretical and practical issues concerning banking business. You will develop a critical awareness of the theory of the banking firm, the motives for international banking, and regulatory and structural issues impacting on bank behaviour.
Financial Analysis: This module analyses the techniques that are used to evaluate a company’s financial position and performance.
Investment Strategy and Portfolio Management: This module evaluates the development of investment strategies for bonds, equities and derivatives that are designed to achieve optimal risk-return outcomes, and examines the measurement and evaluation of the performance of a portfolio of investments.
Islamic Banking: This module provides an insight into the key features of Islamic banking business.