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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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This course covers the application and development of computer technologies as used in banking and financial systems, as well as financial and economic principles. Read more

Introduction

This course covers the application and development of computer technologies as used in banking and financial systems, as well as financial and economic principles.
This course provides knowledge in key areas involving three subjects: Computing, Economics, and Finance. Together they offer a unique combination of expertise required for a successful career in the financial sector. This MSc offers a choice of computing modules so that the student can adapt the course to their previous computing experience.
The course has a distinct international dimension as financial markets today are international in scope: trading in equities, bonds, derivatives and other securities occurs across borders and on a global scale. It emphasises the key characteristics of today's globalised financial world.
Computing Science at Stirling has strong links with industry. Students can get a first-hand industrial experience through placements and internships with local enterprises and organisations. More specifically, we offer company-based MSc projects to our students where our students can work with an employer to gain valuable commercial experience. We also regularly invite industry experts to share their expertise with students through seminars and talks.
You will also get prepared to find and secure a great job after completing this course through an integrated structured personal and professional development programme called ‘Lift-Off’. This course covers crucial topics such as self-image, body language, interview techniques, assessment centre startegies, conflict resolution as well as CV preparation and job targeting techniques.

Key information

- Degree type: Postgraduate Diploma, MSc
- Study methods: Full-time, Part-time
- Start date: September
- Course Director: Dr Mario Kolberg

Course objectives

The course is aimed at students from a variety of backgrounds, especially those that do not have any previous training in computing, economics or finance. The course is designed to complement and extend a student’s previous education, training and experience. Appropriate module choices facilitate adjusting the course of study according to a student’s preferences and prior expertise.
The MSc in Computing for Financial Markets will greatly enhance the employment prospects of students. On completion of this course, you will be ideally placed to embark on an IT career in the financial sector. Our company sponsored MSc projects will provide an ideal pathway into the industry.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.0 with 5.5 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade C
- Pearson Test of English (Academic): 54 with 51 in each component
- IBT TOEFL: 80 with no subtest less than 17

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

This course comprises two 15-week semesters of taught modules, a winter programming assignment over three weeks in January, and the MSc project over three months at the end. Semester 1 concentrates on fundamental techniques. Semester 2 integrates, develops and applies these skills.
Practical work is a key component in this course. It builds from self contained tasks in the first semester, over the larger Winter programming assignment, to a group project in Semester 2. Finally, the dissertation project (possibly with a company) is the largest piece of work leading to your MSc dissertation. We usually place more than 50% of our students with a company for the MSc project duration.

Why Stirling?

REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Career opportunities

The MSc in Computing for Financial Markets will greatly enhance the employment prospects of students. As a graduate of Computing for Financial Markets, you will be in demand in a range of sectors including banks, insurance business, IT software organisations, and service enterprises.
Previous postgraduate students have been very successful in obtaining suitable employment in the computing field in a considerable diversity of posts - some with small companies, others with major organisations such as HBOS, Prudential and RBS, with Local Authority and Government bodies. A number of graduates of the MSc Computing for Financial Markets have continued their studies towards a PhD.
Common job profiles of our graduates are:
- As a Systems Analyst, you will work on solving computer problems. This might involve adapting existing systems or using new technologies designing a new software solution In doing so, you will design software, write code, and test and fix software applications. You might also be involved in providing documentation for users. Typically you would work as part of a larger team.

- IT Consultants closely work with clients (often at the clients premises) and advise them on how to use computer technology and applications to best meet their business needs. You will work with clients to improve their efficiency of using computer systems. This may involve the adaptation/customisation of software applications, or the development of custom applications for the specific needs of the customer. As well as technical duties, you may be involved in project management.

- Applications Developers translate software requirements into programming code, and will usually specialise in a specific area, such as computer games or web technology. Often developers work as part of a larger team. You may be in charge of developing a certain component or part of a larger application.

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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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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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The MSc Financial Mathematics programme enables graduates and professionals with a strong mathematics background to research, develop and apply quantitative and computational techniques to finance. Read more
The MSc Financial Mathematics programme enables graduates and professionals with a strong mathematics background to research, develop and apply quantitative and computational techniques to finance. It covers topics from classical options pricing to post-crisis investment and risk management. The Department of Mathematics has a superb reputation for research-led teaching and strong links to industry and our graduates are highly sought after.

Key benefits

- A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.

- End-to-end coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.

- Unrivalled facilities, including access to live market data in our Bloomberg Data laboratory.

- A stone’s throw from the City of London's financial centre

- Full or part time study (most lectures given late afternoons)

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/financial-mathematics-msc.aspx

Course detail

- Description -

Financial mathematics plays a crucial role in all sectors of financial markets including fixed income, credit derivatives, pensions, insurances, energy and even bets on the weather. The application of mathematics has had a profound effect upon finance and has allowed the creation of entirely new markets for financial products.

The financial mathematics programme at King’s is unique in its emphasis upon mathematical rigour. It encompasses all the skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets. Our outstanding teaching is matched by outstanding facilities for the study and research of financial markets.

- 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 -

At least eight taught modules assessed by written examinations and one individual project. Two prizes are normally awarded each year for best overall performance in the MSc in Financial Mathematics.

Career prospects

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.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Combine business and management skills with computing expertise. Gain specialist, up-to-date computing, business and management knowledge with this intensive MSc. Read more

Introduction

Combine business and management skills with computing expertise. Gain specialist, up-to-date computing, business and management knowledge with this intensive MSc. The course covers the application and development of key computer technologies, as well as business management principles. You will be offered a choice of computing modules, so that you can adapt the course to your previous computing experience.
Computing Science at Stirling has strong links with industry. Students can get a first hand industrial experience through placements and internships with local enterprises and organisations. More specifically, we offer company-based MSc projects to our students where our students can work with an employer to gain valuable commercial experience. We usually place more than 50% of our students with a company for the MSc project duration. We also regularly invite industry experts to share their expertise with students through seminars and talks.
The course is designed to complement and extend a student’s previous education and experience. As such the course offers a high degree of flexibility.
You will also get prepared for finding and securing a great job after completing this course through an integrated structured personal and professional development programme. This course covers crucial topics such as self-image, body language, interview techniques, assessment centre strategies, conflict resolution as well as CV preparation and job targeting techniques.

Key information

- Degree type: MSc, Postgraduate Diploma, Postgraduate Certificate
- Study methods: Full-time
- Start date: September
- Course Director: Dr Mario Kolberg

Course objectives

The course is aimed at students from a variety of backgrounds, especially those that do not have any previous training in computing or management.
This MSc will equip you with required knowledge in management and computing to embark on a successful career in the management of IT systems and teams. Our company sponsored MSc projects will provide an ideal pathway into the industry.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.0 with 5.5 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade C
- Pearson Test of English (Academic): 54 with 51 in each component
- IBT TOEFL: 80 with no subtest less than 17

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

This course comprises two 15-week semesters of taught modules, a winter programming assignment over three weeks in January, and the MSc dissertation project over three months at the end.
Practical work is a key component in this course. It builds from self contained tasks in the first semester, over the larger winter programming assignment, to a group project in Semester 2. Finally, the dissertation project (possibly with a company) is the largest piece of work leading to your MSc dissertation. We usually place more than 50% of our students with a company for the MSc project duration.

Study method

Full-time This course may also be taken on a part-time basis over a period of up to 27 months following a course of study agreed with the Programme Director.

Why Stirling?

REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Career opportunities

The MSc in Computing for Business will greatly enhance the employment prospects of students. As a graduate of Computing for Business, you will be in demand to manage and lead IT projects in a range of sectors including IT software organisations, service enterprises, large corporates, financial institutions.
Previous postgraduate students in the department have been very successful in obtaining suitable employment in the computing field in a considerable diversity of posts - with small companies, with major international organisations including Accenture, IBM, HP, Yammer, Google, Microsoft, Reuters and major financial institutions such as HBOS, as well as with Local Authority and Government bodies. A number of graduates of the MSc Advanced Computing have continued their studies towards a PhD.
More generally, common job profiles of our graduates are:
- As a Systems Analyst, you will work on solving computer problems. This might involve adapting existing systems or using new technologies designing a new software solution. In doing so, you will design software, write code, and test and fix software applications. You might also be involved in providing documentation for users. Typically, you would work as part of a larger team.

- IT Consultants closely work with clients (often at the clients premises) and advise them on how to use computer technology and applications to best meet their business needs. You will work with clients to improve their efficiency of using computer systems. This may involve the adaptation/customisation of software applications or the development of custom applications for the specific needs of the customer. As well as technical duties, you may be involved in project management.

- Applications Developers translate software requirements into programming code and will usually specialise in a specific area, such as computer games or web technology. Often developers work as part of a larger team. You may be in charge of developing a certain component or part of a larger application.

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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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