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Masters Degrees (Financial Computing)

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Why Study Financial Computing?. Financial institutions are under considerable pressure to increase their computational capabilities. Read more
Why Study Financial Computing?
Financial institutions are under considerable pressure to increase their computational capabilities. This is the result of increased regulatory requirements, new electronic and algorithmic trading channels as well as increased competition for speed and accuracy. This critical capability is delivered by a combination of mathematics, technology and finance.

As a result there is growing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

This unique programme provides numerate graduates with the expertise to develop a professional career in this profitable and intellectually exciting field. It has been designed to match the requirements of top employers in the industry.

Access to Expertise
The MSc in Financial Computing is directed and has been designed by Dr Sebastian del Bano Rollin former Global Head of FX Quantitative Research at Citigroup amongst other senior roles in the financial industry.

Get Industry Experience
The Financial Computing MSc can be enhanced with a one year industry placement that will allow you to gain valuable industry expertise.

Our Scholarships
We reward your academic excellence with scholarships for our MSc Financial Computing. This year we will be awarding five tuition fee scholarships of £5,000 each for outstanding graduates with degrees equivalent to a 2:1 or above.

The Programme
The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed both at science graduates with some experience in programming as well as engineering graduates with some mathematical exposure. The content of the programme is a combination of technology and applied financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance computing and GPU development. If you are studying full time with us, you will complete eight taught modules as well as completing a 10,000 word dissertation over the academic year. To view further information about the content and structure of our programme visit: http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/155455.html

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The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. Read more
The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. This, alongside work on software design in a number of real-world financial systems, will enable you to become a leader in this field.

This course should interest you if you have a good first degree in computer science or engineering, or a BSc degree that provided a high level of programming expertise such as C++ and/or .NET. You receive training on the structure, instruments and institutional aspects of financial markets, banking, payment and settlement systems.

You will attain a high level of competence in software development, in the area of financial computing, for implementation in an electronic market environment, as we introduce you to information and communication technology and automation that underpins financial systems, including:
-Design issues relating to parallel and distributed networks
-Encryption, security and real-time constraints
-Straight Through Processing (STP)
-Quantitative finance
-Financial software architecture

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 Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

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
-Big-Data for Computational Finance
-Cloud Technologies and Systems
-High Performance Computing
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Computer Security (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-E-Commerce Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-IP Networking and Applications (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Mobile & Social Application Programming (optional)
-Programming in Python (optional)
-Industry Expert Lectures in Finance (optional)

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This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance. Read more
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to
: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Full time students will take four modules per semester as well as completing a 10,000 word dissertation. There are also pre-sessional modules in mathematics and financial markets providing a good opportunity for students to catch up with the necessary prerequisite knowledge.

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This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance. Read more
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to
: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Why study with us?

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.

You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.

You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.

We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf.

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This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance. Read more
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to
: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Why study with us?

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.

You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.

You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.

We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf.

Read less
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance. Read more
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to
: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Why study with us?

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.

You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.

You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.

We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf.

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With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services for a variety of technological talent to deliver business solutions on a global scale. Read more
With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services for a variety of technological talent to deliver business solutions on a global scale. This programme addresses this demand and will train you for advanced technical or managerial roles in new interdisciplinary areas of computational techniques and equip you with financial knowledge to deliver effective business solutions. You will gain:
• theoretical and practical knowledge of key areas of finance and computing in today’s industry and research
• knowledge of the latest technology and applications for the finance industry, such as big data and business analytics
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in financial computing

You will undertake eight modules in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. You will choose these modules based on the subject area of your first degree, such as computing, finance or other fields. The precise content of your dissertation project will be discussed and decided with your project supervisor and is subject to approval. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support your learning and research.

Students on this programme will study a selection of the following subjects, the actual range depending on their undergraduate programme:
-Research Methods
-Object-Oriented Programming
-Cloud Computing
-Interactive Systems
-Artificial Intelligence
-Data Mining and Data Analytics
-Databases and Data Management
-Data Mining and Machine Learnin
-Software Architecture
-Computer Systems Security
-Accounting and Financial Management
-Financial Markets
-Financial Analysis
-Portfolio Management
-Alternative Investments and Strategies
-Fixed Income and Derivative Investments
-Dissertation Project

What are my career prospects?

Graduates from this programme will find employment as software engineers, database specialists, infrastructure managers, financial analysts, financial consultants, business analysts, system analysts, investment analysts, e-finance architects, credit managers, portfolio managers, business intelligence executives, wealth services officers, and risk management auditors amongst others.

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The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. … Read more

The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. You will develop skills so that you are able to formulate a well posed problem from a description in financial language, carry out relevant mathematical analysis, develop and implement an appropriate numerical scheme and present and interpret these results.

The course lays the foundation for further research in academia or for a career as a quantitative analyst in a financial or other institution.

You will take three introductory courses in the first week. The introductory courses cover partial differential equations, probability and statistics and MATLAB.

The first term focuses on compulsory core material, offering 80 hours of lectures and 40 hours of classes/practical. The core courses are as follows:

  • Stochastic Calculus
  • Financial Derivatives
  • Numerical Methods I - Monte-Carlo
  • Numerical Methods I - Finite Differences
  • Statistics and Financial Data Analysis
  • Financial Programming with C++ 1

In the second term, three streams are offered; each stream consists of 32 hours of lectures and 16 hours of classes/practical. The Tools stream is mandatory and you will also take either the Modelling stream or the Data-driven stream.

Modelling stream

  • Exotic derivatives
  • Stochastic volatility, jump diffusions
  • Commodities
  • Fixed income

Data-driven stream

  • Asset pricing and inefficiency of markets
  • Market microstructure and trading
  • Algorithmic trading
  • Advanced financial data analysis
  • Machine learning
  • Python

Tools stream

  • Numerical methods 2 - Monte Carlo methods
  • Numerical methods 2 - Finite differences
  • Calibration
  • Optimisation
  • Introduction to stochastic control

As well as the streams, the course includes a compulsory one-week (24 hours of lectures) intensive module on quantitative risk management which is to be held in/around the week before the third term.

The third term is dedicated to a dissertation project which is to be written on a topic chosen in consultation with your supervisor.

The second component of the financial computing course, Financial Computing with C++ 2 (24 hours of lectures and practicals in total), is held shortly after the third term.

The examination will consist of the following elements:

  • two written examinations and one take-home project, each of two hours' duration - the written examinations will cover the core courses in mathematical methods and numerical analysis
  • a written examination on the Modelling stream or a written examination and a computer-based practical examination on the Data-driven stream
  • a written examination assessing the Tools stream
  • a take-home project assessing the course in quantitative risk management
  • two practical examinations assessing two courses in financial computing with C++.

Graduate destinations

MSc graduates have been recruited by prominent investment banks and hedge funds. Many past students have also progressed to PhD-level studies at leading universities in Europe and elsewhere.



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This programme is now closed but you may want to consider other courses such as the . Mathematics MSc. . . Read more

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.

  • A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
  • In-depth coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.
  • Unrivalled facilities in central London with City of London's financial centre close by, and with access to live market data in our Bloomberg Data Laboratory.
  • Flexible study programme offering the opportunity to study part-time.
  • King’s is a member of the London Graduate School in Mathematical Finance which provides advanced courses for students who wish to push beyond the MSc core syllabus.
  • Lecturers on the programme have extensive experience in consulting and work for financial companies and institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.

Description

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:

  • Gain an intuition for the conduct of real financial markets
  • Develop potential investment strategies
  • Experience using real-world investment and risk management software and obtain data for research.

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.

Course purpose

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.

Course format and assessment

Teaching

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).

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations.  

Career destinations

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.



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Financial Mathematics is a branch of Mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Read more

Overview

Financial Mathematics is a branch of Mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace.

Effective computational methods are crucial for the successful use of mathematical modelling in finance. The MSc in Financial and Computational Mathematics is designed to reflect this combination of knowledge and skills so that its graduates are well equipped to enter the competitive job markets of quantitative finance and related fields.

The course is focused on computational techniques and mathematical modelling used in the financial industry and on the required background in finance. The course is provided by the School of Mathematical Sciences with valuable input from the School of Economics. To ensure that the degree keeps pace with changes in employer expectations and employment opportunities, the course has its own advisory board which consists of leading experts from the financial industry and academia.

Key facts:

- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 60 full-time academic staff.
- In the latest independent Research Assessment Exercise, the school ranked 8th in the UK in terms of research power across the three subject areas within the School of Mathematical Sciences (pure mathematics, applied mathematics, statistics and operational research).
- In the last independent Teaching Quality Assessment, the School scored 23 out of 24.
- The course has its own advisory board (see below) consisting of leading experts from the financial industry and academia.
- The course is offered in collaboration with the School of Economics.

Module details

Core modules include: financial mathematics, advanced financial mathematics, scientific computing and c++, advanced scientific computing, financial mathematics dissertation.

Optional Stream 1 (Maths/Stats and Computing): Optimisation, Time Series and Forecasting, Statistical Foundations.

Optional Stream 2A: Econometic Theory, Financial and Macro Econometrics, Time Series Econometrics, Mathematics for Engineering Management, Game Theory.

Optional Stream 2B: Microeconomic Analysis, Financial Economics, Options and Futures Markets, Mathematics for Engineering Management, Game Theory.

English language requirements for international students

IELTS: 6.5 (with no less than 6.0 in any element)

Further information



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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics and Computing for Finance at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics and Computing for Finance at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc Mathematics and Computing for Finance course has been designed to meet the growing demand for specially trained mathematicians to work in the world’s financial markets and insurance.

Despite the current volatile nature of the banking industry, many banks still have a pressing need for employees with advanced mathematical skills who can further their understanding of turbulence in financial markets.

On the Mathematics and Computing for Finance course you will study different elements of both mathematics and computing in addition to developing your communication and presentational skills through a project you will undertake. As a student of the MSc in Mathematics and Computing for Finance programme you will be fully supported to ensure that your project is best suited to support your future career plans.

Aims of MSc in Mathematics and Computing for Finance

Have in depth knowledge in stochastic analysis and parts of advanced real analysis. (Fourier analysis and Partial Differential Equations) as well as parts of numerical analysis which are central for applications to finance.

Have developed advanced computing skills being essential for handling problems relevant for a job on the finance markets.

Have, as a mathematician, a good understanding of finance markets.

Have developed skills needed to work in a highly inter-disciplinary profession, including advanced programming techniques and communication skills across the borders.

Modules

Please visit our website for a full description of modules for the MSc Mathematics and Computing for Finance.

Careers

The ability to think rationally and to process data clearly and accurately are highly valued by employers. Mathematics graduates earn on average 50% more than most other graduates. The most popular areas are the actuarial profession, the financial sector, IT, computer programming and systems administration, and opportunities within business and industry where employers need mathematicians for research and development, statistically analysis, marketing and sales.

Some of our students have been employed by AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government. Teaching is another area where maths graduates will find plenty of career opportunities.

Research

The results of the Research Excellence Framework (REF) 2014 show that our research environment (how the Department supports research staff and students) and the impact of our research (its value to society) were both judged to be 100% world leading or internationally excellent.

All academic staff in Mathematics are active researchers and the department has a thriving research culture.

Student profiles

"Further to my studies at Swansea University as a Master of Science graduate in Financial Mathematics, I am currently working at Deutsche Bank in London as part of the Structured Financial Services team providing client services for corporate lending and debt portfolios. The complex nature of the course has helped me become a logical decision maker and a highly skilled problem solver. These transferable skills are very useful in the world of Finance since the role is highly challenging working towards deadlines and structured transaction targets. My studies at Swansea University have also enriched me with leadership, motivational skills and have enhanced my communication skills. I work in a close team of 10 people within a large department which encourages a culture that strives towards learning and effective teamwork. I thoroughly enjoyed my time at Swansea University and cherish the many fond memories. I am so pleased to be expanding my horizon within a major financial centre."

Rhian Ivey, BSc Mathematics, MSc Mathematics and Computing for Finance



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Designed to evolve your decision-making capabilities and awareness of best practice in investment strategies and performance evaluation, our Finance and Investment MSc will prepare you for a career in investment, trading, financial analysis, fund management, banking, financial services or financial consultancy. Read more
Designed to evolve your decision-making capabilities and awareness of best practice in investment strategies and performance evaluation, our Finance and Investment MSc will prepare you for a career in investment, trading, financial analysis, fund management, banking, financial services or financial consultancy.

This course will equip you with a thorough grounding in the theoretical and practical aspects of economics, finance and investment. By the end of the course, you will have the skills necessary to use advanced tools and quantitative techniques to appraise financial opportunities.

As part of this course you will also have access to our real-time trading room, streaming up-to-the-minute data from Reuters.

Scholarships

Scholarships are available for this course. Please click the link below for more information.
https://www.brighton.ac.uk/studying-here/fees-and-finance/postgraduate/index.aspx

Course structure

The course is composed of three phases:

Phase 1 - teaches the core subjects of finance, economics and research methods
Phase 2 - introduces specialist modules in finance and banking
Phase 3 - is the dissertation that draws together the learning from the whole of the programme, allowing you to develop your research skills and capacity for critical analysis while creating a specialisation in a particular field of finance and banking

All modules on the course involve both taught sessions and guided independent study. For a typical module, approximately 30% of the total hours comprise taught activity, 10% is guided study and supervision, and the remainder is independent study.

Syllabus

Modules

Core modules will give you practical background knowledge in key finance subjects. From term 2 you will be able to tailor your course through a choice of specialisms and option modules. The specialisms currently offered are banking, accounting, investment, economics and risk management.

Core modules:

Economics of Financial Markets
Financial Theory and Practice
Research Methodologies for Finance and Economics
Dissertation

Specialism modules (choose two):

Advanced Financial Mathematics
Financial Derivatives
Financial Risk Management
International Portfolio Management
Market-making and Investment Strategies

Option modules (choose one):

Applied Econometrics and Financial Time Series Analysis
Banking and Financial Institutions
Emerging Financial Markets
Financial Regulation: Economic Principles and Institutional Frameworks
Issues in Financial Accounting
Issues in Management Accounting
Money, Interest Rates and Banking

Completion of your final project (dissertation) takes place throughout the summer after teaching finishes. You submit your project in October and receive your MSc award in December.

Dissertation

In the final phase of the course, you will complete a dissertation relating to finance and investment.

The dissertation will be 10,000–15,000 words long. It will address a financial markets problem which will require you to undertake research leading to implementable recommendations based on sound analysis and judgment.

Alternatively, you may wish to carry out a more theoretical dissertation relating to a financial markets topic of personal interest. You will receive help from your appointed dissertation supervisor who will monitor and support your progress. The dissertation is submitted in October.

Real-time trading room

As part of your course you will have access to modern computing facilities and specialist computing packages, for students on the Market-making and Investment Strategies module this includes access to our real-time trading room, fed by up-to-the-minute data from Reuters.

One of a handful of such facilities across the UK, our trading room sessions are supervised by guest traders and provide you with the opportunity to apply your skills to real markets and real data, and make use of simulation software to recreate the pressure of a trading floor.

We also invite guest traders to discuss curriculum topics, pass on their trading experience and supervise trading sessions.

Student trading society

We highly recommend students join our thriving Student Investment and Trading Society, which is established and run by students for the purpose of organising social and networking events, arranging talks by visiting industry experts and facilitating annual trading competitions against other universities.

Learning support

Experienced, professionally qualified lecturers and small class sizes will ensure your learning needs are supported. Online learning tools and libraries also ensure academic journals, e-books, business articles and other resources are available to you 24/7, both for use at the university and at home.

You will also have access to our Careers Service, including CV checking, mock interviews and advice on setting up your own business.

Careers and employability

A postgraduate qualification from Brighton Business School will help you to specialise and stand out in today's highly competitive job market

Many of our Finance and Investment MSc graduates go on to work in investment, trading, financial analysis, fund management, banking and financial consultancy.

The course is also ideal preparation for continuing your studies at MPhil or PhD level, or working as a professional researcher in finance.

• Careers advice and support

Careers Service provides help and advice from the very start of your studies, on subjects including careers counselling sessions, CV checking, mock interviews and advice on setting up your own business.
• Careers counsellor

The Business School's career development advisor, Christina Keiller is available to help you to write your CV, prepare for interviews and plan your career. She also works closely with tutors to ensure that our courses teach vocational skills as well as academic ones.

• Entrepreneurship network

Beepurple is the university’s entrepreneurship support network. They offer free support for any student or graduate with their business ideas, freelance plan or social enterprise project. Beepurple run events throughout the academic year, designed to equip you with skills that will improve your employability and help you grow a successful business. By taking part in beepurple activities, you will meet like-minded people, hear how other recent graduates have set up their own businesses and gain key enterprise skills that will help you stand out from the crowd.

• Mentoring scheme

Momentum is our award-winning mentoring scheme. It pairs students with professionals who wish to share their experience. Students and their mentors meet regularly to exchange ideas. The scheme helps students to develop new skills and enhance their career prospects.

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This Masters degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills. Read more

This Masters degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills.

Taught by experienced academics based in both Leeds University Business School and the School of Mathematics, you’ll cover key topics including financial derivative pricing, discrete and continuous time models, risk management and portfolio optimisation, as well as statistical methods for finance.

You will be equipped with a rare combination of mathematical skills and the latest business finance knowledge, which is highly sought after in the financial sector by banks, investment and consultancy companies. It’s also excellent preparation if you’re interested in pursuing further academic research.

This course is ideal if you’ve previously studied finance, economics, mathematics, physics or computing, and are interested in applying your skills to financial markets.

Academic excellence

As a student, you will be able to access the knowledge of our advanced specialist research units, which also have strong links with leading institutions in the US, Europe and Asia. These include the Centre for Advanced Study in Finance (CASIF), the Institute of Banking and Investment (IBI) and the Credit Management Research Centre (CMRC).

This research makes an important contribution to your learning on the MSc Financial Mathematics; you will benefit from a curriculum that is informed by the latest knowledge and critical thinking.

You will also benefit from our strong relationships with the finance, credit and accounting professions. This provides a connection to the latest practitioner and policy developments, giving you a masters degree that is relevant to the contemporary environment.

Course content

In your first semester you’ll develop a broad understanding of corporate finance and how financial theory relates to practice in business and financial markets. This will put your mathematical studies into context while you develop your skills in applied statistics and probability, optimisation methods and discrete time finance.

You’ll build on these skills in topics such as continuous time finance, risk management and computational methods. You’ll also gain specialist knowledge in topics that suit your career ambitions such as risk and insurance, actuarial science and behavioural finance.

The programme will improve your research skills and allow you to study different research methodologies, including those employed by our own leading academics. This will prepare you for your dissertation – an independent research project on a topic of your choice that you’ll submit by the end of the year.

Course structure

Compulsory modules

  • Corporate Finance 15 credits
  • Dissertation in Financial Mathematics 30 credits
  • Applied Statistics and Probability 15 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Computations in Finance 15 credits
  • Optimisation Methods for Finance 15 credits

Optional modules

You'll also take two optional modules.

  • Security Investment Analysis 15 credits
  • Portfolio Risk Management 15 credits
  • Behavioural Finance 15 credits
  • Financial Derivatives 15 credits
  • International Investment 15 credits
  • Models in Actuarial Science 15 credits

For more information on typical modules, read Financial Mathematics MSc in the course catalogue

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning and tutorials. Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

In addition to the assessed modules and research dissertation, you benefit from professional training activities and employability workshops. Thanks to our links with major companies across the business world, you can also gain a practical understanding of key issues.

Recent activities have included CV building and interview sessions, professional risk management workshops and commercial awareness events. For example, students have developed their knowledge of financial markets through a one-week trading simulation. Read more about professional development activities for postgraduate finance students.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. They include formal exams, group projects, reports, computer simulation exercises, essays and written assignments, group and individual presentations.

This diversity enables you to develop a broad range of skills as preparation for professional life.

Career opportunities

You have various opportunities open to you as a Financial Mathematics graduate, including: quantitative analysis, risk management, investment banking, financial consultancy, insurance, accounting and academia.

Previous graduates have gone on to secure employment with Allianz (London), AstraZeneca, Barclays, Cathay Life Insurance, CITIC Group, Commerzbank, Deloitte, First Direct, Gaz de France, HSBC, KPMG, Moody’s, PricewaterhouseCoopers, Royal Bank of Scotland, RSA and UK Government Actuary’s Department.

Careers support

We help you to achieve your career ambitions by providing professional development support and training as part of the course. You benefit from the support of a professional development tutor, who will work with you to develop the important professional skills that employers value.

Read more about our careers and professional development support.

The University of Leeds Careers Centre also provides a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website



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Mathematical finance is an area of applied mathematics where concepts and techniques that lie close to the heart of pure mathematics are applied routinely to solve a great variety of important practical problems arising in the day-to-day business of the world's financial institutions. Read more

About the course

Mathematical finance is an area of applied mathematics where concepts and techniques that lie close to the heart of pure mathematics are applied routinely to solve a great variety of important practical problems arising in the day-to-day business of the world's financial institutions.

The objective of the Brunel MSc in Financial Mathematics is to guide students through to a mastery of the sophisticated mathematical ideas underlying modern finance theory, along with the associated market structures and conventions, with emphasis on:

- The modelling of the dynamics of financial assets, both in equity markets and in fixed-income markets
- The pricing and hedging of options and other derivatives, and
- The quantification and management of financial risk.

Candidates are also provided with the means to master the numerical and computational skills necessary for the practical implementation of financial models, thus enabling you to put theory into practice and putting you in a good position to carry out work for a financial institution. We therefore offer a programme that provides a balanced mixture of advanced mathematics (including modern probability theory and stochastic calculus), modern finance theory (including models for derivatives, interest rates, foreign exchange, equities, commodities, and credit), and computational technique (GPU-based high-performance computing).

The MSc in Financial Mathematics offers a range of exciting modules during the Autumn and the Spring terms, followed by an individual research project leading to a dissertation that is completed during the Summer term.

Aims

Financial mathematics is a challenging subject, the methods of which are deployed by sophisticated practitioners in financial markets on a daily basis. It builds on the application of advanced concepts in modern probability theory to enable market professionals to tackle and systematically resolve a huge range of issues in the areas of pricing, hedging, risk management, and market regulation. The main objective of the Brunel MSc in Financial Mathematics is to provide candidates with the knowledge they need to be able to enter into this exciting new area of applied mathematics and to position themselves for the opportunity to work in financial markets.

Among the main distinguishing features of our programme are the following:

We aim to teach the key ideas in financial asset pricing theory from a thoroughly modern perspective, using concepts and methods such as pricing kernels, market information filtrations, and martingale techniques, as opposed say to the more traditional but old-fashioned approach based on the historical development of the subject.

In our programme candidates are asked at each stage to undertake a critical re-examination of the hypotheses implicit in any financial model, with a view to gaining a clear grasp of both its strengths and its limitations.

The programme includes courses on high-performance computing that provide candidates with the techniques whereby financial models can be implemented.

Course Content

Programme structure

The programme offers five "compulsory" 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 compulsory modules. Additionally, all students complete an individual research project on a selected topic in financial mathematics, leading to the submission of a dissertation.

Compulsory modules:

Probability and stochastics
Financial markets
Option pricing theory
Interest rate theory
Financial computing I

Elective Modules:

Portfolio theory
Information in finance with application to credit risk management
Mathematical theory of dynamic asset pricing
Financial computing II
Statistics for Finance
Financial Mathematics Dissertation

Special Features

The Department of Mathematics, home to its acclaimed research centre CARISMA, has a long tradition of research and software development, in collaboration with various industry partners, in the general area of risk management.

The Department is a member of the London Graduate School in Mathematical Finance, which is a consortium of mathematical finance groups of Birkbeck College, Brunel University London, Imperial College London, King’s College London, London School of Economics, and University College London. There is a strong interaction between the financial mathematics groups of these institutions in the greater London area, from which graduates can benefit. In particular there are a number of research seminars that take place regularly throughout the year which students are welcome to attend.

Assessment

Assessment is by a combination of coursework, examination, and dissertation. Examinations are held in May. The MSc degree is awarded if the student reaches the necessary overall standard on the taught part of the course and submits a dissertation that is judged to be of the required standard. Specifically, to qualify for the MSc degree, the student must: (a) take examinations in eight modules including the four compulsory modules, (b) attain the minimum grade profile (or better) required for a Masters degree and (c) submit a dissertation of the required standard. If a student does not achieve the requirements for the degree of MSc, they may, if eligible, be awarded a Postgraduate Diploma.

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The MSc Economics and Finance programme combines expertise and practical know-how from both the School of Economics and Surrey Business School to help you apply advanced core-economic principles to the context of business and corporate finance, while mastering the complexities of the banking and financial systems. Read more

The MSc Economics and Finance programme combines expertise and practical know-how from both the School of Economics and Surrey Business School to help you apply advanced core-economic principles to the context of business and corporate finance, while mastering the complexities of the banking and financial systems.

The programme structure comprises four core modules and four elective modules, split between the School of Economics and Surrey Business School.

This combination provides you with knowledge of microeconomic theory, financial economics and financial econometrics, while also leaving enough room to tailor the programme according to your own particular interests and career aspirations.

Programme structure

This programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Educational aims of the programme

The main rationale and aim for the introduction of this programme is combining the expertise and know-how from both the School of Economics and Surrey Business School to help students apply advanced core economic competencies to the context of business and corporate finance while mastering the complexities of the banking and financial systems.

We believe that, by combining the competencies of the School of Economics and the Business School, this programme will provide recent graduates and early stage professionals with rigorous training and a strong analytical background in economic theory, finance, financial economics and econometrics.

This Masters degree is ideal for those who aim to pursue careers as financial economists, quantitative analysts and financial econometricians in the private sector, in the government or in international financial institutions.

The recent financial crisis has highlighted the complexity of the financial phenomena and the need for a deeper understanding of the underpinnings of the financial markets.

The shared programme of the School of Economics and the Business School will provide students with the broad set of economic and financial tools that the new context requires. The increased skill set will also increase the potential career opportunities of the programme’s graduates.

Programme learning outcomes

  • The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
  • To critically evaluate the development, characteristics, issues and influences relevant to economics and finance
  • To analyse and debate theoretical and applied knowledge in economics, finance, banking, investment management
  • To evaluate critically a wide range of approaches and techniques relevant to economics and finance
  • To demonstrate an in-depth understanding of the fundamental elements of economics and finance
  • To evaluate critically the complex interrelationships between economics and finance
  • To evaluate outcomes and accurately assess/report on their own/others work with justification and relate them to existing knowledge structures and methodologies
  • To demonstrate high level learning and problem solving skills
  • To conduct research and produce a high quality report – this includes the ability to select, define and focus upon and issue at an appropriate level; to develop and apply relevant and sound methodologies; to analyse the issue; to develop recommendations and logical conclusions; to be aware of the limitations of research work
  • To identify modifications to existing knowledge structures and theoretical frameworks and to propose new areas for investigations/ new problems / new or alternative applications and methodological approaches
  • To display a range of skills relevant to the needs of existing and future managers, executives and professionals irrespective of their sector of operation, particularly in the areas of analysis and synthesis, communication and presentation skills, computing skills, critical reasoning, data analysis, organisation and planning, report and essay writing skills, interactive and group skills, research skills
  • To handle ethical dilemmas likely to arise in management, research and professional practice and to formulate solutions in dialogue with peers, clients, mentors and others

Knowledge and understanding

  • An advanced understanding of the core principles and applications in microeconomics and econometrics
  • An advanced understanding of the theory of banking and finance and how this relates to the role of financial institutions in national and international economies
  • An understanding of the techniques which have been used in contemporary economic research
  • A comprehensive understanding of financial markets both in their theoretical and empirical aspects, and the most sophisticated financial products and their use

Intellectual / cognitive skills

  • The ability to combine relevant theory and analytical techniques with insightful data analysis to produce convincing explanations of economic and finance phenomena
  • The skills necessary to comprehend published economic research papers, and to integrate the implications of published research in their own studies

Professional practical skills

  • The ability to select appropriately between alternative analytical techniques and research methodologies which can be used in order to analyse all the different aspects of financial data
  • The ability to formulate a plan for specific individual research which would further existing knowledge
  • The ability to communicate the results of independent research in the form of a dissertation
  • The ability to comprehend published financial and economic research papers, and to integrate the implications of published research in their own studies

Key / transferable skills

  • General skills, such as literacy, numeracy, IT and computing
  • Interpersonal skills, such as communication
  • Many subject specific skills are highly transferrable, including abstraction, analysis, deduction, induction, quantification, design and framing (understanding parameters to a problem to help decision making) 

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.



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