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Masters Degrees (Asset Pricing)

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This programme is designed to help students understand how prices and values for claims to uncertain payments are derived, by using fundamental principles from economics and finance, and includes claims such as company shares and dividends, financial derivatives, real assets such as metals and commodities as well as insurance claims. Read more
This programme is designed to help students understand how prices and values for claims to uncertain payments are derived, by using fundamental principles from economics and finance, and includes claims such as company shares and dividends, financial derivatives, real assets such as metals and commodities as well as insurance claims.

Why this programme

-This programme will give you a thorough knowledge of the mechanisms used to determine asset prices, knowledge which is fundamental for all types of investor.
-You will learn about the latest and most sophisticated techniques in asset pricing and investment theory and you will receive training on Bloomberg software in the school's dedicated training suite.
-You will acquire the practical skills to implement and calibrate these models in a computer-based learning environment using empirical and econometric techniques.

Programme structure

You will take four core courses, two optional courses and complete a substantial independent piece of work normally in the form of a dissertation.

You will be taught in lectures, some of which may also be accompanied by class/group discussions. You will attend workshops to help define and develop your dissertation proposal and you will be assigned an individual dissertation supervisor who will provide guidance and comments as you complete your dissertation.

Core Courses
-Economic fundamentals and financial markets
-Empirical asset pricing
-Investment, finance and asset pricing
-Portfolio analysis and investment

Optional Courses
-Advanced portfolio analysis (Portfolio analysis and investment is a co-requisite for this course)
-Applied computational finance
-Basic econometrics
-Corporate finance and investment
-Financial derivatives (Mathematical finance is a co-requisite for this course)
-Financial market micro structure
-Intermediate econometrics
-Mathematical finance

Career prospects

Graduates from this programme will typically find employment in financial institutions (asset management, investment banks, the quant sector and consulting); governmental bodies involved in financial decision-making; and organisations such as the International Monetary Fund, Central Banks etc.

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Programme structure. The programme offers four "core" modules, taken by all students, along with a variety of elective modules from which students can pick and choose. Read more
Programme structure
The programme offers four "core" modules, taken by all students, along with a variety of elective modules from which students can pick and choose. There are examinations and coursework in eight modules altogether, including the four core modules. Additionally, all students complete a dissertation.

Core modules
0.Probability and stochastics. This course provides the basics of the probabilistic ideas and mathematical language needed to fully appreciate the modern mathematical theory of finance and its applications. Topics include: measurable spaces, sigma-algebras, filtrations, probability spaces, martingales, continuous-time stochastic processes, Poisson processes, Brownian motion, stochastic integration, Ito calculus, log-normal processes, stochastic differential equations, the Ornstein-Uhlenbeck process.


0.Financial markets. This course is designed to cover basic ideas about financial markets, including market terminology and conventions. Topics include: theory of interest, present value, future value, fixed-income securities, term structure of interest rates, elements of probability theory, mean-variance portfolio theory, the Markowitz model, capital asset pricing model (CAPM), portfolio performance, risk and utility, portfolio choice theorem, risk-neutral pricing, derivatives pricing theory, Cox-Ross-Rubinstein formula for option pricing.


0.Option pricing theory. The key ideas leading to the valuation of options and other important derivatives will be introduced. Topics include: risk-free asset, risky assets, single-period binomial model, option pricing on binomial trees, dynamical equations for price processes in continuous time, Radon-Nikodym process, equivalent martingale measures, Girsanov's theorem, change of measure, martingale representation theorem, self-financing strategy, market completeness, hedge portfolios, replication strategy, option pricing, Black-Scholes formula.


0.Financial computing I. The idea of this course is to enable students to learn how the theory of pricing and hedging can be implemented numerically. Topics include: (i) The Unix/Linux environment, C/C++ programming: types, decisions, loops, functions, arrays, pointers, strings, files, dynamic memory, preprocessor; (ii) data structures: lists and trees; (iii) introduction to parallel (multi-core, shared memory) computing: open MP constructs; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.


0.Interest rate theory. An in-depth analysis of interest-rate modelling and derivative pricing will be presented. Topics include: interest rate markets, discount bonds, the short rate, forward rates, swap rates, yields, the Vasicek model, the Hull-White model, the Heath-Jarrow-Merton formalism, the market model, bond option pricing in the Vasicek model, the positive interest framework, option and swaption pricing in the Flesaker-Hughston model.

Elective modules

0.Portfolio theory. The general theory of financial portfolio based on utility theory will be introduced in this module. Topics include: utility functions, risk aversion, the St Petersburg paradox, convex dual functions, dynamic asset pricing, expectation, forecast and valuation, portfolio optimisation under budget constraints, wealth consumption, growth versus income.


0.Information in finance with application to credit risk management. An innovative and intuitive approach to asset pricing, based on the modelling of the flow of information in financial markets, will be introduced in this module. Topics include: information-based asset pricing – a new paradigm for financial risk management; modelling frameworks for cash flows and market information; applications to credit risk modelling, defaultable discount bond dynamics, the pricing and hedging of credit-risky derivatives such as credit default swaps (CDS), asset dependencies and correlation modelling, and the origin of stochastic volatility.

0.Mathematical theory of dynamic asset pricing. Financial modelling and risk management involve not only the valuation and hedging of various assets and their positions, but also the problem of asset allocation. The traditional approach of risk-neutral valuation treats the problem of valuation and hedging, but is limited when it comes to understanding asset returns and the behaviour of asset prices in the real-world 'physical' probability measure. The pricing kernel approach, however, treats these different aspects of financial modelling in a unified and coherent manner. This module introduces in detail the techniques of pricing kernel methodologies, and its applications to interest-rete modelling, foreign exchange market, and inflation-linked products. Another application concerns the modelling of financial markets where prices admit jumps. In this case, the relation between risk, risk aversion, and return is obscured in traditional approaches, but is made clear in the pricing kernel method. The module also covers the introduction to the theory of Lévy processes for jumps and its applications to dynamic asset pricing in the modern setting.

0.Financial computing II: High performance computing. In this parallel-computing module students will learn how to harness the power of a multi-core computer and Open MP to speed up a task by running it in parallel. Topics include: shared and distributed memory concepts; Message Passing and introduction to MPI constructs; communications models, applications and pitfalls; open MP within MPI; introduction to Graphics Processors; GPU computing and the CUDA programming model; CUDA within MPI; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.


0.Risk measures, preference and portfolio choice. The idea of this module is to enable students to learn a variety of statistical techniques that will be useful in various practical applications in investment banks and hedge funds. Topics include: probability and statistical models, models for return distributions, financial time series, stationary processes, estimation of AR processes, portfolio regression, least square estimation, value-at-risk, coherent risk measures, GARCH models, non-parametric regression and splines.

Research project

Towards the end of the Spring Term, students will choose a topic to work on, which will lead to the preparation of an MSc dissertation. This can be thought of as a mini research project. The project supervisor will usually be a member of the financial mathematics group. In some cases the project may be overseen by an external supervisor based at a financial institution or another academic institution.

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Programme structure. The programme offers five "core" modules, taken by all candidates, along with a variety of elective modules from which students can pick and choose. Read more
Programme structure

The programme offers five "core" modules, taken by all candidates, along with a variety of elective modules from which students can pick and choose. There are lectures, examinations and coursework in eight modules altogether, including the five core modules. Additionally, all students complete an individual research project on a selected topic in financial mathematics, leading to the submission of a dissertation.

Core modules

Probability and stochastics. This course provides the basics of the probabilistic ideas and mathematical language needed to fully appreciate the modern mathematical theory of finance and its applications. Topics include: measurable spaces, sigma-algebras, filtrations, probability spaces, martingales, continuous-time stochastic processes, Poisson processes, Brownian motion, stochastic integration, Ito calculus, log-normal processes, stochastic differential equations, the Ornstein-Uhlenbeck process.

Financial markets. This course is designed to cover basic ideas about financial markets, including market terminology and conventions. Topics include: theory of interest, present value, future value, fixed-income securities, term structure of interest rates, elements of probability theory, mean-variance portfolio theory, the Markowitz model, capital asset pricing model (CAPM), portfolio performance, risk and utility, portfolio choice theorem, risk-neutral pricing, derivatives pricing theory, Cox-Ross-Rubinstein formula for option pricing.

Option pricing theory. The key ideas leading to the valuation of options and other important derivatives will be introduced. Topics include: risk-free asset, risky assets, single-period binomial model, option pricing on binomial trees, dynamical equations for price processes in continuous time, Radon-Nikodym process, equivalent martingale measures, Girsanov's theorem, change of measure, martingale representation theorem, self-financing strategy, market completeness, hedge portfolios, replication strategy, option pricing, Black-Scholes formula.


Interest rate theory. An in-depth analysis of interest-rate modelling and derivative pricing will be presented. Topics include: interest rate markets, discount bonds, the short rate, forward rates, swap rates, yields, the Vasicek model, the Hull-White model, the Heath-Jarrow-Merton formalism, the market model, bond option pricing in the Vasicek model, the positive interest framework, option and swaption pricing in the Flesaker-Hughston model.

Financial computing I. The idea of this course is to enable students to learn how the theory of pricing and hedging can be implemented numerically. Topics include: (i) The Unix/Linux environment, C/C++ programming: types, decisions, loops, functions, arrays, pointers, strings, files, dynamic memory, preprocessor; (ii) data structures: lists and trees; (iii) introduction to parallel (multi-core, shared memory) computing: open MP constructs; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.

Elective modules

Portfolio theory. The general theory of financial portfolio based on utility theory will be introduced in this module. Topics include: utility functions, risk aversion, the St Petersburg paradox, convex dual functions, dynamic asset pricing, expectation, forecast and valuation, portfolio optimisation under budget constraints, wealth consumption, growth versus income.

Information in finance with application to credit risk management. An innovative and intuitive approach to asset pricing, based on the modelling of the flow of information in financial markets, will be introduced in this module. Topics include: information-based asset pricing – a new paradigm for financial risk management; modelling frameworks for cash flows and market information; applications to credit risk modelling, defaultable discount bond dynamics, the pricing and hedging of credit-risky derivatives such as credit default swaps (CDS), asset dependencies and correlation modelling, and the origin of stochastic volatility.


Mathematical theory of dynamic asset pricing. Financial modelling and risk management involve not only the valuation and hedging of various assets and their positions, but also the problem of asset allocation. The traditional approach of risk-neutral valuation treats the problem of valuation and hedging, but is limited when it comes to understanding asset returns and the behaviour of asset prices in the real-world 'physical' probability measure. The pricing kernel approach, however, treats these different aspects of financial modelling in a unified and coherent manner. This module introduces in detail the techniques of pricing kernel methodologies, and its applications to interest-rete modelling, foreign exchange market, and inflation-linked products. Another application concerns the modelling of financial markets where prices admit jumps. In this case, the relation between risk, risk aversion, and return is obscured in traditional approaches, but is made clear in the pricing kernel method. The module also covers the introduction to the theory of Lévy processes for jumps and its applications to dynamic asset pricing in the modern setting.


Financial computing II: High performance computing. In this parallel-computing module students will learn how to harness the power of a multi-core computer and Open MP to speed up a task by running it in parallel. Topics include: shared and distributed memory concepts; Message Passing and introduction to MPI constructs; communications models, applications and pitfalls; open MP within MPI; introduction to Graphics Processors; GPU computing and the CUDA programming model; CUDA within MPI; applications to matrix arithmetic, finite difference methods, Monte Carlo option pricing.

Risk measures, preference and portfolio choice. The idea of this module is to enable students to learn a variety of statistical techniques that will be useful in various practical applications in investment banks and hedge funds. Topics include: probability and statistical models, models for return distributions, financial time series, stationary processes, estimation of AR processes, portfolio regression, least square estimation, value-at-risk, coherent risk measures, GARCH models, non-parametric regression and splines.

Research project

Towards the end of the Spring Term, students will choose a topic for an individual research project, which will lead to the preparation and submission of an MSc dissertation. The project supervisor will usually be a member of the Brunel financial mathematics group. In some cases the project may be overseen by an external supervisor based at a financial institution or another academic institution.

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MSc Financial Econometrics combines a practical approach to finance with a strong theoretical approach in econometrics, and is taught jointly between our Department of Economics and Essex Business School. Read more
MSc Financial Econometrics combines a practical approach to finance with a strong theoretical approach in econometrics, and is taught jointly between our Department of Economics and Essex Business School. This mix of approaches means that you graduate from our course as someone who is very attractive to a variety of financial institutions, from insurance companies to central banks.

You develop a solid theoretical grounding in econometrics which complements the modules taught by Essex Business School; this structure gives you the opportunity to develop your skills in econometrics and apply them practically in a finance environment. You investigate topics including:
-Asset pricing theories and empirical findings
-Methods of estimation
-Modern econometric techniques
-Time series econometrics

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Within Essex Business School, you are taught by a highly qualified, enthusiastic team with wide-ranging research interests and proven academic track record.

Our staff specialise in areas including: accounting and economic development in the public and third sectors; regulation and corporate social responsibility; finance and banking; accounting and finance in developing economies; and contemporary financial markets and their participants.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Our landmark new Essex Business School building on our Colchester Campus is the first zero carbon business school in the UK. Set around a lush winter garden, the Eden-style dome gives the building its own micro-climate. Our new building provides you with a stunning new work environment, offering:
-A virtual trading floor with Bloomberg Terminals offering direct use of Bloomberg data, information and analytics
-A light and spacious lecture theatre, with seating for 250 students
-Study pods and innovation booths for group working
-Dedicated office space for student entrepreneurs
-Networking opportunities with visiting businesses
-A café with an adjacent sun terrace

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

Our MSc Financial Econometrics will help you to develop a range of skills that will make you highly employable. These include modelling skills, statistical analysis, research skills and developing an understanding of asset pricing and financial markets.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Time Series Econometrics
-Estimation and Inference in Econometrics
-Dissertation (optional)
-Asset Pricing
-Financial Modelling
-MSc Finance and Investment: Dissertation (optional)
-Econometric Methods (optional)
-Mathematical Methods (optional)
-Monetary Economics (optional)
-Economic Development Theory (optional)
-Microeconomics (optional)
-Macroeconomics (optional)
-Political Economy (optional)
-Banking (optional)
-Economics of Financial Markets (optional)
-Topics in Financial Economics (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Behavioural Economics II: Games and Markets (optional)
-Theory of Industrial Organisation (optional)
-International Trade (optional)
-International Finance (optional)
-Game Theory and Applications (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Microeconometrics (optional)
-Panel Data Methods (optional)
-Applications of Data Analysis (optional)
-Corporate Finance (optional)
-Derivative Securities (optional)
-Portfolio Management (optional)
-Exchange Rates and International Finance (optional)
-Behavioural Finance (optional)
-Risk Management (optional)
-Fixed Income Securities (optional)
-Trading Global Financial Markets (optional)
-Modern Banking (optional)
-Bank Strategy and Risk (optional)
-Industry Expert Lectures in Finance (optional)

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Understanding modern financial economics, which includes asset pricing, risk management, monetary policy and financial regulations for pursuing careers at, for example, banks, capital funds and finance ministries. Read more
Understanding modern financial economics, which includes asset pricing, risk management, monetary policy and financial regulations for pursuing careers at, for example, banks, capital funds and finance ministries.
The spectacular growth of international capital markets is creating great opportunities. But, as the latest financial crisis has shown, this also entails major challenges for financial decision-makers and regulators of financial markets. The academic Master’s specialisation in Financial Economics is ideal for students who want to understand the workings of global financial markets, from asset pricing and risk management to monetary policy and financial regulation. It provides you with the necessary knowledge and skills set for careers in not just banks, investment funds, and financial exchanges, but also finance ministries or other governmental or non-governmental bodies of financial market oversight.

See the website http://www.ru.nl/masters/fe

Why study Financial Economics at Radboud University?

- You will be part of a new generation of finance professionals, who not only understand traditional approaches in financial economics but who can also integrate modern behavioural and institutional aspects. This gives you a good understanding of the highly volatile behaviour of financial markets, including bubbles, crashes and crises.

- Besides offering a sound theoretical foundation, there is also plenty of attention for applying these concepts to real-world situations.

- You will be trained to think independently and critically about the way in which financial economics can be applied in your professional field and you will develop skills that will make a difference in the highly competitive global labour market.

- The specialisation pays special attention to global aspects of corporate finance, preparing students for an international career.

- Our lecturers are active in academic and applied research which allows them to incorporate the latest academic developments and applied issues. This will also enable you to actively participate in academic research in your Master’s programme.

- Professors and students interact in small groups, thus strengthening the academic atmosphere.

- Radboud University offers ‘Economics Plus’. Traditional economic models and business approaches are expanded with relevant knowledge from related disciplines such as psychology, teaching more in-depth knowledge that can be applied in today’s globalised world.

Ground breaking ideas

One of the most important aspects of this specialisation is to fully understand how financial markets work and what the possible implications are of measures taken to regulate them. How are asset prices of stocks, bonds, derivatives and other financial assets determined? How do markets deal with financial risk and how can we manage it? You are challenged to go further than simply understanding the concepts and to think creatively about ground breaking ideas of how to regulate constantly developing financial markets and new financial instruments. It’s about trying to get financial markets to work more efficiently, without exuberant bubbles and catastrophic crashes, and in support of a prospering world economy.

Career prospects

Employers are increasingly looking for a new generation of financial professionals, who understand more than the traditional concepts in financial economics and who can integrate this knowledge with institutional and behavioural insights to tackle a wide variety of problems. This Master’s specialisation will provide you with in-depth knowledge in asset pricing, risk management, monetary policy and financial regulations as well as behavioural finance. With this specialisation you will get the best possible understanding of how financial markets work and how to use your analytical skills to deal with today’s problems in financial markets.

Job positions

Our graduates have the necessary knowledge and skills to work for commercial banks, investment banks, and various types of stand-alone investment funds, as well as financial exchanges. Furthermore, careers in finance ministries or other governmental or non-governmental bodies of financial market oversight, such as central banks, the IMF and the World Bank, are also well within your reach. Due to our international approach, and by choosing the relevant electives, this Master’s can also prepare you for financial careers in multinational enterprises or large national companies.

Our approach to this field

The Master’s specialisation in Financial Economics primarily looks at financial markets, their behaviour, their regulation, and monetary policies. In this specialization we take a bird’s eye view and investigate global financial markets as a whole, for example, stock markets, commodity markets or derivative markets. But we also analyse the different classes of market participants, for example, banks, insurances, pension funds, activist investors and hedge funds. There are many topics that will be studied including bubbles and crashes in financial markets, exchange rate policies between countries and how they affect economic growth. But also measures that a government can take to minimise the risks that banks take, or financial innovations and how they can help to improve economic growth.

- Much more than traditional financial economics
We want to educate a new generation of finance professionals; ones who not only understand traditional financial economics, but can also work with modern institutional and behavioural insights. Financial markets are internationally integrated and often truly global. That is why at Radboud University, we also teach students how to be aware of the different institutional, cultural and psychological aspects in various financial markets. At Radboud University, we also know that psychological biases and emotions play a role in financial decisions. Therefore, a good understanding of financial economics includes knowledge about behavioural finance. Behavioural finance is a modern field in finance that uses psychology-based theories to explain financial decisions of individuals and how these can influence financial markets and create anomalies.

- Other specialisations of Economics
This specialisation looks at Finance from a market perspective and how financial markets can be regulated takes a broad view on markets. If you are more interested in Finance from a firm’s perspective and at its positioning within financial markets, we suggest you take a look at our Master's in Corporate Finance and Control. And for those wanting to know more about the trade relations between countries should take a look at our specialisation in International Economics and Business.

See the website http://www.ru.nl/masters/fe

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The Economics and Finance MSc programme is designed to provide an education in advanced economic and finance theory and quantitative methods, while allowing you to specialise or take options in a range of subjects reflecting the School’s main areas of research expertise in finance. Read more
The Economics and Finance MSc programme is designed to provide an education in advanced economic and finance theory and quantitative methods, while allowing you to specialise or take options in a range of subjects reflecting the School’s main areas of research expertise in finance. It prepares you for work as a professional economist in the financial and banking sectors, public sector and international organisations.

All of our MSc degrees equip you with a range of quantitative and analytical skills, and the ability to communicate complex economic concepts in a clear and concise style. Our programmes not only offer a stimulating education in economic theory but also develop your ability to apply economic knowledge, analytical tools and skills to a range of national and international problems in the areas of finance, development, agriculture and the environment.

Visit the website https://www.kent.ac.uk/courses/postgraduate/200/economics-and-finance

Course structure

The Economics and Finance MSc is studied over one year full-time or two years part-time and is divided into two stages: eight taught modules (six of which are compulsory) and a dissertation.

There are compulosry modules in Financial Economics: Capital Market Instruments, Financial Economics and Asset Pricing, Advanced Macroeconomics, Econometric Methods, Time Series Econometrics and Research Methods. These modules build upon students’ existing knowledge, understanding and skills.

Students develop a deeper understanding of economic and finance theory, quantitative and research methods, and policy applications. The teaching and learning of skills are carefully integrated into the structure of the modules and degree programme. The final two modules are chosen from a range of options based upon the finance research interests of our academic staff.

All of our MSc programmes require some mathematical analysis, and we recognise that students have widely differing backgrounds in mathematics. The first week of all our MSc programmes includes compulsory intensive teaching in mathematics, refreshing and improving your skills in order to equip you with the techniques you will need for the rest of the programme.

Students who successfully pass the taught element of the programme proceed to the dissertation stage where you undertake a supervised project of your choice on an Economics/Finance topic.

Advice on choice of dissertation topic and management is given during the taught stage of the programme. The dissertation stage develops students’ research skills and follows on from the Research Methods module. Student dissertations are supervised by academic staff.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EC805 - Advanced Macroeconomics I (15 credits)
EC817 - Research Methods (15 credits)
EC820 - Time Series Econometrics (15 credits)
EC821 - Econometric Methods (15 credits)
EC822 - Financial Economics: Capital Market Instruments (15 credits)
EC824 - Financial Economics and Asset Pricing (15 credits)
EC815 - Growth and Development Theory (15 credits)
EC816 - International Finance (15 credits)
EC802 - Advanced Microeconomics of Consumers, Marketsand Welfare (15 credits)
EC803 - Trade and Development (15 credits)

Assessment

Assessment is through a wide variety of methods including seminar presentations, extended essays, short projects, in-class tests, examinations, and the dissertation.

Programme aims

This programme aims to:

- provide a stimulating education in the principles of economics and finance, and their application, in which high-quality teaching motivates you to achieve your full potential. The teaching is informed by the research and scholarship of our teaching staff

- build on your existing knowledge, abilities and skills and develop a deeper understanding of economic and financial theory, econometrics, financial econometrics and quantitative techniques and policy applications to specific areas

- provide options to enable you to study selected areas of economics and finance in depth

- develop your ability to apply economic and financial knowledge, analytical tools and skills in a range of theoretical, applied and policy problems

- develop your independent research skills and prepare you for work as a professional in the fields of economics and finance or related areas

- provide you with information and advice on future employment and further postgraduate study.

Research areas

Labour and education economics
Staff research includes work in the areas of wage distributions, skills and job quality, education, migration and trade.

Macroeconomics, money and finance
Staff research in this area includes: macroeconometric theory; monetary policy; financial markets and macroeconomic performance growth theory and international macroeconomics; theoretical models of business cycles, labour market search and financial sources of economic fluctuations; DSGE models; growth theory and empirics.

Microeconomic theory, games and behaviour
Research interests cover public economics especially tax policy; gambling and uncertainty; international trade and government procurement; health economics; public goods; leadership in co-ordination games; industrial organisation; theoretic modelling; economic history.

Development economics
Research interests include work on growth; trade; the balance of payments; different aspects of migration and remittances on growth; applied studies focusing on particular developing countries.

Agri-environmental economics
Research interests cover non-market valuation, food safety, information economics applied to environmental problems, design and evaluation of agri-environmental policies, biodiversity, agricultural productivity, European agricultural policy, agricultural trade policy.

Transport and regional economics
Research strengths are the regional impact of transport investments; the economic evaluation of infrastructure; regulation and alternative funding models; the economics of public-private partnerships.

Careers

Kent has an excellent record for postgraduate employment: over 96% of our postgraduate students who graduated in 2014 found a job or further study opportunity within six months.

A postgraduate degree in the area of economics is a particularly valuable and flexible qualification that can open the door to exciting careers in many professions. Our graduates have gone on to work as economists in international organisations, the financial sector, business, UK and overseas governments, and to further postgraduate training and academic careers at Kent, UK and overseas universities. Recent MSc graduates have gone on to work for companies in the UK such as BNP Paribas, AXA, FactSet and PwC.

The School's employability officers and the University's Careers and Employability Service are available throughout the year to offer one-to-one advice and help on all aspects of employability at any stage in your postgraduate studies. We also offer online advice on employability skills, career choices, applications and interview skills.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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How do you make optimal investment decisions? How are stocks priced? Why do markets crash?. In rapidly changing and often unstable money markets, the global economy demands financial professionals who can act rationally and ethically when under pressure. Read more
How do you make optimal investment decisions? How are stocks priced? Why do markets crash?

In rapidly changing and often unstable money markets, the global economy demands financial professionals who can act rationally and ethically when under pressure. This course further develops your analytical and critical thinking skills so you can evaluate risk and make sound financial decisions in complex environments.

You gain a detailed understanding of the key financial drivers in an increasingly complex business world. We equip you with advanced knowledge of the latest theoretical and empirical developments in the industry, using case studies to apply theory to practice, so you can excel in a career in any aspect of finance.

Topics include:
-Asset pricing
-Portfolio management
-Derivative securities
-Advanced mathematics

Our MSc Finance is taught at Essex Business School, ranked in the top 25 in the UK for research excellence (REF, 2014). Our students and staff join us from all over the world and we embed the latest academic thinking in our teaching to ensure you experience the cutting-edge of your discipline.

MSc Finance can also be studied part time and you may be eligible for scholarships and discounts provided by the University of Essex. Essex Business School also offers a limited number of scholarships for the CFA level one exam and IMC level one and two exams to exceptional Masters students.

Essex Business School is an IMC Advantage Partner and a Recognised Partner of the CFA.

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

You join one of the UK’s largest finance groups, with a team of experts in wide ranging specialisms. This diversity ensures our course reflects the breadth of contemporary banking and finance issues facing organisations today.

Our lecturers have presented their work at the likes of the Bank of England, the European Central Bank and the Federal Reserve and are recognised for being at the forefront of research in:
-Business ethics
-Corporate social responsibility
-Organisation studies
-Leadership and strategy
-Finance and banking
-Risk management
-International management

Not only are you taught by experts with both academic and industry experience, but input from City-based industry leaders gives this course a thorough grounding in contemporary financial practice. Our school is also home to Essex Finance Centre.

Specialist facilities

Our commitment to excellence in teaching extends to our working environment, with our landmark Colchester building providing excellent facilities to learn and socialise, including:
-An Eden-style dome and winter garden, which give the building its own micro-climate
-A virtual trading floor with Bloomberg Financial Market Labs for analysing financial data
-Cutting-edge lecture theatres
-Study pods and innovation booths for group working
-Networking opportunities with visiting businesses
-A fully-stocked café for meetings and socialising
-Study skills workshops

Your future

Essex Business School is helping to create the business leaders of the future; those who are creative, innovative and ethically aware. In 2015, 78% of our postgraduate taught students were in work or further study (DLHE).

Many of our graduates enjoy careers in financial analysis, management, public administration and accountancy at some of the world’s most well-known organisations, including:
-Groupon
-KMG Group
-Right Freight Pvt Ltc
-Copal Partners

Many now also run their own growing businesses.

During your time at Essex Business School, we provide plenty of help with finding and applying for work experience, internships, placements, and voluntary opportunities from our dedicated employability team and the University’s Employability and Careers Centre.

Example structure

-Dissertation
-Research Methods in Finance: Empirical Methods in Finance
-Asset Pricing
-Derivative Securities
-Portfolio Management
-Postgraduate Mathematics Preparation
-Behavioural Finance (optional)
-Industry Expert Lectures in Finance (optional)

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This specialist course gives you a thorough understanding of the full range of quantitative methods needed for financial decision making. Read more
This specialist course gives you a thorough understanding of the full range of quantitative methods needed for financial decision making.
– Learn how to forecast and manage risk and return
– Gain the skills to price any financial instrument
– Learn how to engineer new methods and financial products
– Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
– Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

Recent recruiters
Bangkok Bank, Barclays Capital, Bloomberg, CIBC World Markets, Citigroup, Hewitt Associates, KPMG, MFC Fund, Schlumberger, Schneider, Tata Consultancy Services.

Course structure (All taught course units are 15 credits)

Semester 1
– Asset Pricing Theory
– Derivative Securities
– Stochastic Calculus for Finance

One elective unit from:
– Cross-Sectional Econometrics
– Portfolio Investment
– Scientific Computing

Semester 2
– Credit Risk Management
– Interest Rate Derivatives
– Time Series Econometrics

One elective unit from:
– Computational Finance
– Corporate Finance
– Credit Risk Management
– Generalised Linear Models and Survival Analysis
– Real Options in Corporate Finance
– Risk, Performance and Decision Analysis
– Simulation and Risk Analysis

Summer period
Dissertation (60 credits)
– Apply what you have learned in the taught part of the course
– Dissertations are supervised by both an academic expert and an industry practitioner
– Topics are aligned with the research interests of leading financial institutions from the City of London and internationally
– Industry-linked topics are subject to strict selection criteria (for example, quality of research proposal, strong CV and first semester exam performance).

Examples of recent dissertation project topics:
– Approximation of CVA/DVA/FVA
– FVA and MM – quantitative analysis/illustration
– Continuous rainbow options on commodity outputs
– Investigating dynamics and determinants of risk-neutral PDs
– Using hazard models to forecast corporate bankruptcy
– Analysing asset pricing implications from real options models
– Pricing sovereign CDS contracts
– Estimating liquidation probabilities of hedge funds

Open days

Masters information sessions

We are hosting a series of informal information sessions for undergraduates who are thinking about pursuing a Master’s course at Alliance Manchester Business School.

Our Masters courses aren't just for business graduates - from business analytics to operations, and marketing to finance, we have 17 courses to choose from. Join us to meet a careers advisor, admissions staff and current students and discover how our courses can boost your career prospects.

Also, a number of graduates have the opportunity to progress directly onto the Full-time MBA programme as a Young Potential Leader - could you be one of them?

Choose from the following dates:
Wednesday 15 February 2017, 12.00 - 1.30pm
Wednesday 15 March 2017, 12.00 - 1.30pm
Wednesday 26 April 2017, 12.00 - 1.30pm
Wednesday 10 May 2017, 12.00 - 1.30pm

All events are held in the Atrium, Alliance MBS East building (on the corner of Oxford Road and Booth Street East) - number 26 on the campus map.

For further information and to register your interest in attending, please see the Alliance MBS website: http://www.mbs.ac.uk/masters/meet-us.aspx

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The programme is suited for individuals with good undergraduate degrees in economics or accounting and finance, but a pathway through the programme also exists for those with more scientific backgrounds (eg an undergraduate education in mathematics, engineering or natural sciences). Read more
The programme is suited for individuals with good undergraduate degrees in economics or accounting and finance, but a pathway through the programme also exists for those with more scientific backgrounds (eg an undergraduate education in mathematics, engineering or natural sciences). The programme structure is also flexible enough for you to specialise in the area of finance that suits you best.

This programme is designed to provide you with a thorough grounding in the theoretical and practical sides of finance. It contains compulsory elements in asset pricing, corporate finance and quantitative methods and offers optional units in areas including derivatives, investment management and international finance.

Programme structure

Core units
-Asset Pricing
-Financial Reporting and Analysis
-Fundamentals of Corporate Finance
-Quantitative Methods for Finance and Investment

Optional units - You will choose four units from a list of options. The units available can vary from year to year but may include:
-Advanced Corporate Finance
-Banking
-Behavioural Finance
-Cases in Financial Management
-Derivatives
-Investment Management
-Quantitative Finance

Unit availability is subject to staffing and timetable constraints. Please note: the number of available places on some units may be capped.

Dissertation
The final part of the MSc is a research-based dissertation. This involves identifying and analysing a research question in finance under the guidance of a member of staff. The dissertation gives you an opportunity to explore an original problem, source and process the relevant financial data, analyse that data and learn to draw appropriate conclusions. The results are presented in a final report of up to 15,000 words.

Careers

The programme provides excellent preparation for careers in investment management, financial research, trading, consulting and corporate finance, and for further academic study in finance.

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How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?. Read more
How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?

The after effects of the 2008 financial meltdown are still being felt across the globe. We need knowledgeable financial professionals who can evaluate risk, act rationally and understand the economic impact of their actions in order to find solutions. If you can rise to the challenge of making ethical, sound financial decisions in pressurised environments, MSc Financial Engineering and Risk Management is for you.

You follow advanced, contemporary study in financial engineering and risk management and develop a deeper understanding of the risks within modern financial securities. You also become skilled in the design of robust management systems to measure risk. Upon graduation, you should possess the skills and knowledge for a successful career in commercial, investment and central banks, hedge funds, regulatory authorities and rating agencies.

You master areas including:
-Asset pricing
-Derivative securities
-Financial modelling
-Mathematical research techniques using Matlab

MSc Financial Engineering and Risk Management is taught at Essex Business School, home to one of the largest, and most respected, finance groups in the UK. Our teaching is grounded in contemporary issues and professional practice, supported by industry-standard facilities, such as our Bloomberg virtual trading floor.

We’re ranked in the top 25 in the UK for research excellence (REF 2014) and are home to an international community of scholars, practitioners and academics; our current Masters students join us from more than 40 countries.

This course is also available to study part-time and you may be able to apply for scholarships and discounts offered by the University of Essex. Essex Business School also offers a limited number of scholarships for the CFA level one exam and IMC level one and two exams to exceptional Masters students.

Essex Business School is an IMC Advantage Partner and a Recognised Partner of the CFA.

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

We’re home to Essex Finance Centre, which produces research at the cutting-edge of financial debate.

Work by our expert staff has been discussed in the Bank of England, the European Central Bank and the Federal Reserve, so you join a business school that seeks to make a real difference to solving financial challenges around the world.

We combine academic experience with industry expertise and are renowned for research into:
-Business ethics and corporate social responsibility
-Organisation studies
-Leadership and strategy
-Finance and banking
-Risk management
-International management

Specialist facilities

You’re based at our Colchester Campus, in our landmark zero carbon building.

Our Colchester home is an example of our dedication to sustainable and ethical business practices. Its design is both environmentally friendly and architecturally stunning, with a winter garden and sun terrace contributing to the building’s own micro-climate and providing a tranquil environment for group working and socialising. Our Bonds café is located on site, making a great space for reviewing course notes before lectures.

Our virtual trading floor, complete with Bloomberg Financial Market Labs, enables you to practice dealing stocks and securities using industry-standard equipment. You can also benefit from our study skills workshops, designed to help you excel in your academic work.

Our building is also located on the University’s Knowledge Gateway, providing potential opportunities to network with inspiring SMEs who locate their businesses on our Colchester Campus.

Your future

An Essex Business School education is founded on creativity, innovation and ethical awareness to prepare you for the challenges of the global marketplace. In 2015, 78% of our postgraduate taught students were in work or further study (DLHE).

Our course provides you with the opportunity to develop a career in financial analysis, management, public administration and accountancy, as well as fostering your entrepreneurial spirit.

We provide plenty of support along the way to help you secure your dream job. Our dedicated employability team work closely with the University’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Finance and Investment: Dissertation
-Finance Research Techniques Using Matlab
-Research Methods in Finance: Empirical Methods in Finance
-Postgraduate Mathematics Preparation
-Risk Management
-Financial Modelling
-Asset Pricing
-Derivative Securities
-Trading Global Financial Markets (optional)

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The profession of an actuary has undergone a rapid development in recent years. Read more
The profession of an actuary has undergone a rapid development in recent years. Where two or three decades ago the main tools of an actuary in life insurance were his 'yellow book' containing mortality data and formulae for discounting with a constant deterministic interest rate, nowadays the products insurance companies offer are much more convoluted and complex. The introduction of so-called unit linked and universal life products, where premiums are transparently for customers invested in financial funds and in fact customers have a large degree of control over how much premium they pay in a particular month and how this money should be invested makes the management of such products a lot more demanding. A similar story applies to non-life insurance, where in particular more and more advanced risk models are necessary for insurance companies to continue to be able to compete in a fierce market while keeping a firm grasp on the risks they hold in their portfolios.

Overall, modern actuaries are not just actuaries as we used to know them anymore: they are intensely trained, highly skilled financial risk managers with a strong background in mathematics in general and more in particular in probability and statistics.

We have designed this course with exactly the demands outlined above in mind: it aims at giving the students a strong and deep training in the mathematics that makes up the core of the skill set of a modern actuary, including training in topics such as:
•Markovian models and their application to life insurance products
•Risk models and ruin theory and their application to non-life theory, including (but not limited to) the Cramer-Lundberg model
•Important models in the area of market consistent pricing such as the Black and Scholes asset pricing model, the Capital Asset Pricing Model (CAPM), interest rate models, credit risk models and modern extensions of these models
•Relevant topics from statistics such as time series and their applications, survival analysis, generalised linear models etc.

This course provides excellent training for those who seek a career as an actuary, but is also very well suited for those who are more broadly interested in a financial risk management career as well as for those who wish to subsequently pursue research an academic career or continue the study at doctoral level, particularly those wishing to pursue further advanced studies in actuarial science.

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Practices in the financial markets over the last years have contributed to the current economic situation. Read more

Overview

Practices in the financial markets over the last years have contributed to the current economic situation. This specialised programme that has been designed to provide you with the necessary mathematical techniques and tools to understand and model the complexity of financial markets, and to succeed in a future career in the finance industry.

Designed to equip talented individuals with the skills necessary for a successful career in finance, this MSc brings together the strengths of two highly respected schools at Queen Mary – Mathematical Sciences, and Economics and Finance – to give you an in-depth understanding of the subject. Rigorous training is provided, relevant to roles in quantitative analysis, trading, financial engineering and structuring, risk management, and software development.

The programme consists of eight modules and a dissertation. You will develop an advanced understanding of the mathematical models used in finance, learn about a range of important numerical tools and techniques, gain practical skills in computer programming, and undertake a substantial research project under expert supervision in a chosen area of interest. Past dissertation topics have been in areas such as the distribution of loan portfolio value; passport options; the Heston stochastic volatility model, pricing American options using Monte-Carlo, and asset pricing with jump diffusion models.

This programme will:

Introduce you to the mathematics used by practitioners in the field.
Provide you a rigorous training and strong analytical and quantitative skills in finance.
Cover a wide range of analytical tools applied in quantitative asset pricing and financial derivatives.

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Combining advanced study and research, this programme is designed for students who wish to extend their knowledge of finance or financial engineering. Read more
Combining advanced study and research, this programme is designed for students who wish to extend their knowledge of finance or financial engineering. The programme provides research-led teaching and is particularly suitable for those intending to continue to a PhD. The degree also provides a strong academic background for those aiming for a career in finance.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/bmjbmpfin

Course detail

The normal coursework component for the MPhil in Finance consists of the following courses:

- Pre-course reading: Preparatory course in Mathematics & Statistics (taught by the Faculty of Economics);
- Corporate Finance I;
- Fundamentals of Competitive Markets;
- Econometrics I or Econometric Methods;
- Corporate Finance II;
- Asset Pricing I;
- Econometrics II (or Cross Section & Panel Data Econometrics or Further Time Series with Applications in Finance & Macroeconomics); - Asset Pricing II.

Students can also choose a few electives offered by CJBS, by the Faculty of Economics, or by the Faculty of Mathematics department.

Assessment

- If dissertation option is chosen, in place of three of the modules, a thesis of 12,000 words is required, no oral exam.

- Assessment across the nine courses will be by written examination, project, or coursework, depending upon the nature of the particular course.

- Faculty of Economics and Faculty of Mathematics courses offered on the MPhil in Finance are assessed exclusively by written examination.

- Presentation features as an assessment component in a number of CJBS modules offered on the MPhil in Finance.

Students receive qualitative feedback on their assessed performance and suggestions for improving their performance on the courses which are assessed in a number of stages. Students are also welcome to approach lecturers for informal advice and guidance.

Continuing

Successful performance at the admissions interview in Lent Term 2016, and a minimum average grade of at least 70% on the MPhil in Finance programme.

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

UK Bursary for UK nationals and ESRC.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

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Our MSc is recognised as one of the leading postgraduate qualifications for a successful career in the financial, banking and insurance sectors. Read more
Our MSc is recognised as one of the leading postgraduate qualifications for a successful career in the financial, banking and insurance sectors. This full-time programme provides rigorous training in finance and investment to develop a mix of applied skills essential for a wide range of roles in both financial and non-financial organisations.

We aim to produce responsible specialists who have a strong financial and investment perspective in areas such as corporate finance, asset pricing, portfolio management, financial derivatives analysis, macroeconomic policy and international financial markets.

Our academic excellence in this field ensures high quality teaching, which is supported by internationally recognised research delivered by our dedicated research centre, the Bradford Centre for International Business and Finance (BCIBF). We successfully balance financial theory and thought leadership with practical application to produce financial experts who can make a difference in the real world of business, finance and investment.

The programme involves extensive use of our Trading Room, including training in the use of Bloomberg Professional, which is an industry standard market information and trading platform used worldwide. Bloomberg enables students to gain exposure to 'real life' financial data and get a feel for the context within which 'real' investment decisions are made in industry.

We regularly invite external experts from academia and industry as speakers in order to further enhance the relevance of classroom discussion and study, and provide a meaningful context to ongoing topical events of interest.

Professional Accreditation

The Association of Chartered Certified Accountants (ACCA) accredit this programme. This means that, by successfully completing your degree, you are eligible for exemptions from some ACCA fundamental level examinations.

Why Bradford?

University of Bradford School of Management is one of the oldest and most experienced university-based business schools In Britain and home to over 500 postgraduate students from more than 70 different countries. The School celebrated 50 years of excellence in business education in 2013.

At our Bradford campus and across our global campus, we create a collaborative, supportive learning environment in which students, staff, alumni and businesses and organisations can share knowledge and ideas.

Bradford also scores extremely high in rankings for value for money, providing you with a very affordable way to gain a globally recognised Master's qualification from a leading UK university.

Rankings

University of Bradford School of Management is ranked in the UK Top 10 in the Financial Times MSc in Management 2016.

Modules

Compulsory modules
-Business Economics
-Foundations of Finance
-Asset Pricing
-Financial Markets and Institutions
-Portfolio Management
-Quantitative Methods in Finance
-Fixed Income Securities and Credit Risk
-Derivatives Pricing and Risk Management
-International Finance
-Corporate Financial Management
-Dissertation

Option modules - choose two from the following options:
-Contemporary Issues in Accounting and Finance
-Financial Risk Management in European Banking*
-Strategic Accounting
-Financial Statement Analysis and Valuation

*As part of the School's exchange agreement with the Ecole Superieure de Commerce in Toulouse, students are offered the opportunity to study this module in Toulouse each year.

Learning activities and assessment

This full-time 12 month programme will help you to develop technical, analytical and interpersonal skills that will be highly relevant to your career in finance, banking or investment & asset management.

You'll study 10 compulsory modules to provide a firm foundation of core skills; in finance, accounting & investment management. You have the opportunity to select two elective modules of your choice to help you specialise in an area of personal interest.

We place particular emphasis on computer-based methods of learning finance. As a Master's in Finance student at Bradford, you learn to apply to real market data the financial-software packages used most widely in practice.

You will also have the opportunity to use interactive trading simulated software packages (i.e. Market-Class simulator package) to enhance your understanding of investment analysis and portfolio management.

Career support and prospects

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Advisers into the curriculum or through specially arranged workshops.

Additionally, the School of Management has its own dedicated careers team based on the Emm Lane Campus, with support including:
-One-to-one support
-Careers workshops
-Opportunities to meet employers and recruiters
-Online resources
-Job opportunities
-Career prospects

Our Master's in Finance graduates are in an excellent position to compete for jobs across a wide range of financial disciplines, including corporate finance, investment banking, portfolio management, financial consultancy, fixed income and derivatives trading, risk management and financial research.

Study Support

The Effective Learning Service (ELS) is a dedicated facility within the School of Management, established to support our students to maximise their academic learning (eg assignments and examinations) as well as help overseas students adapt quickly to UK academic requirements. The ELS is run by Martin Sedgley, supported by Amy Allhouse, and provides a huge range of services, including various workshops run during term time, 1-1 consultations and vast printed and online resources to cater for every possible development area.

Facilities

The programme involves extensive use of our Trading Room, including training in the use of Bloomberg Professional, which is an industry standard market information and trading platform used worldwide.

The Bradford Trading Room provides students with hands-on experience in a simulated trading environment. Students get a feel for real investment decisions made in industry and learn how to deal responsibly with financial and economic market data.

Students have the option of completing a training and certification module specifically designed for universities called Bloomberg Essentials Training (BESS) that is widely recognised in industry and confers valuable skills which are highly relevant for the finance, banking, insurance and related industries.

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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:
-Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
-Applications of calculus and statistical methods
-Computational intelligence in finance and economics
-Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-CCFEA MSc Dissertation
-Financial Engineering and Risk Management
-Introduction to Financial Market Analysis
-Learning and Computational Intelligence in Economics and Finance
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Big-Data for Computational Finance (optional)
-Industry Expert Lectures in Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Artificial Neural Networks (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-Machine Learning and Data Mining (optional)
-Trading Global Financial Markets (optional)
-Creating and Growing a New Business Venture (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Constraint Satisfaction for Decision Making (optional)

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