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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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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.

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.

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.

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.

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.

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.

Read less
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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Based in one of the top Economics schools in the UK, this programme’s combination of economic theory and quantitative financial skills will equip you for a successful career in the fast-evolving and increasingly complex international financial markets. Read more
Based in one of the top Economics schools in the UK, this programme’s combination of economic theory and quantitative financial skills will equip you for a successful career in the fast-evolving and increasingly complex international financial markets.

The shared nature of the programme will grant you a broader and sharper perspective on the underpinnings of financial markets.

PROGRAMME OVERVIEW

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 and part-time over two academic years. It consists of eight taught modules and a dissertation. 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.
-Microeconomics
-Foundations of Finance
-Econometrics 1
-Macroeconomics
-Financial Econometrics
-Theory of Finance
-Econometrics II
-Economics of the Firm
-Advanced Microeconomics
-Corporate Finance
-Derivative Securities
-International Finance
-Risk Management
-Investment Analysis
-Research Methods and Dissertation

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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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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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Mathematics and Computing for Finance at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Mathematics and Computing for Finance at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

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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The MSc Financial Mathematics draws on tools from applied mathematics, computer science, statistics and economic theory to prepare you for roles in which you will combine in-depth knowledge of financial products and risk with sophisticated technical and programming skills. Read more
The MSc Financial Mathematics draws on tools from applied mathematics, computer science, statistics and economic theory to prepare you for roles in which you will combine in-depth knowledge of financial products and risk with sophisticated technical and programming skills.

You will acquire solid knowledge of probability theory and stochastic processes, numerical analysis and programming languages, asset pricing theory and risk analysis, with special emphasis on valuation and risk management.

Typical career paths of graduates from our MSc Financial Mathematics include research positions (in both financial and academic institutions), or roles involving the development, management and improvement of derivatives models using advanced programming languages, and model validation such as Equity/Equity Derivatives Quant, Quantitative Financial Engineer, or Quantitative Risk Analyst.

This programme is rigorous with respect to the mathematics but also places great emphasis on linking theory with real world developments. You will often be exposed to the teaching of real world practitioners from the City of London.

Cass's proximity to the City of London, and our close links to many of its institutions, will help you to access outstanding networking and career opportunities.

Visit the website: http://www.cass.city.ac.uk/courses/masters/courses/financial-mathematics

Course detail

There are two Induction Weeks The Financial Mathematics course starts with two compulsory induction weeks, focused on:

• an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.

• a reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

Attendance is mandatory.

Format

To satisfy the requirements of the degree course students must complete:

• eight core courses (15 credits each)
and
• two additional core modules plus three electives (10 credits each)
or
• three electives (10 credits each) and an Applied Research Project (20 credits)
or
• one elective (10 credits) and a Business Research Project (40 credits)

Assessment

Assessment of modules on the MSc in Financial Mathematics, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Career opportunities

Many graduates from the MSc in Financial Mathematics progress to one of two fields:

• derivatives valuation and portfolio management within investment houses
• research departments within banks and consultancy firms

Some examples of where graduates from the MSc in Financial Mathematics class of 2014 are working are:

• Bank of China - Management Trainee
• Santander - Credit Fraud Analyst
• Renaissance Re - Analyst
• Deutsche Bank - Bookrunner

How to apply

Apply here: http://www.city.ac.uk/study/postgraduate/applying-to-city

Funding

For information on funding, please follow this link: http://www.city.ac.uk/study/postgraduate/funding-and-financial-support

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