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Masters Degrees (Mathematical Finance)

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The School of Mathematics and Alliance Manchester Business School at the University of Manchester have combined their academic strength and practical expertise to deliver the MSc in Mathematical Finance (UK 1 year), ensuring that students can experience both the mathematical and economic perspective of the subject. Read more
The School of Mathematics and Alliance Manchester Business School at the University of Manchester have combined their academic strength and practical expertise to deliver the MSc in Mathematical Finance (UK 1 year), ensuring that students can experience both the mathematical and economic perspective of the subject.

This is also supported by invited lectures from senior staff members of leading financial institutions and outstanding mathematicians who are internationally recognised for contributions to Mathematical Finance. Past lectures include:
-Professor M. Schweizer (ETH Zurich and Swiss Finance Institute) An overview of quadratic hedging and related topics
-Professor H. Follmer (Humboldt University of Berlin) Monetary valuation of cash flows under Knightian uncertainty
-Professor M. H. A. Davis (Imperial College London) Contagion models in credit risk

The course provides students with advanced knowledge and understanding of the main theoretical and applied concepts in Mathematical Finance delivered from a genuinely international and multi-cultural perspective with a current issues approach to teaching. The focus is on mathematical theory and modelling, drawing from the disciplines of probability theory, scientific computing and partial differential equations to derive relations between asset prices and interest rates, and to develop models for pricing, risk management and financial product development.

The finance industry demands recruits with strong quantitative skills and the course is intended to prepare students for careers in this area. The course provides training for those who seek a career in the finance industry specialising in derivative securities, investment, risk management and hedge funds. It also provides research skills for those who subsequently wish to pursue research and/or an academic career (e.g. university lecturer) or continue the study at doctoral level, particularly those wishing to pursue further/advanced studies in Mathematical Finance.

Coursework and assessment

Teaching is shared by the School of Mathematics and Alliance Manchester Business School, and delivered through lectures, case studies, seminars and group project-based work.

Career opportunities

The finance industry demands recruits with strong quantitative skills and the course is intended to prepare students for careers in this area. The course provides training for those who seek a career in the finance industry specialising in derivative securities, investment, risk management and hedge funds. It also provides research skills for those who subsequently wish to pursue research and/or an academic career (e.g. university lecturer) or continue the study at doctoral level, particularly those wishing to pursue further/advanced studies in Mathematical Finance.

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Candidates who have a good undergraduate (BSc) degree or equivalent but whose mathematical background is insufficient for direct entry to the MSc programme may apply for a place on the conversion year for the MSc in Mathematical Finance. Read more
Candidates who have a good undergraduate (BSc) degree or equivalent but whose mathematical background is insufficient for direct entry to the MSc programme may apply for a place on the conversion year for the MSc in Mathematical Finance.

A place on the conversion year is normally offered together with a conditional offer for the MSc in Mathematical Finance in the following year, subject to successfully completing the conversion year. The normal progression requirement for progression from the conversion year to the MSc in Mathematical Finance is a final weighted average at 2:1 level (60% or above) for the modules taken in the conversion year.

Programme structure

The conversion year consists of a selection of modules to the value of 120 credits being part of the undergraduate degree in Mathematics and Finance at the University of York, with emphasis on the mathematical aspects of the course. Module choice is subject to prerequisites, timetabling constraints, availability of modules, and is subject to approval by the programme director.

The available modules may vary from year to year but are likely to include:

Term 1 (Autumn)
-Calculus (30 credits) (continues into Spring and Summer Terms)
-Algebra (20 credits) (continues into Spring and Summer Terms)
-Introduction to Probability and Statistics (20 credits)
-Statistics I (10 credits)
-Applied Probability (10 credits)
-Differential Equations (10 credits)
-Mathematical Finance I MAT00015H (10 credits)

Terms 2 and 3 (Spring and Summer Terms)
-Calculus (30 credits) (starts in Autumn, continues through Spring and completes in Summer Term)
-Algebra (20 credits) (starts in Autumn, continues through Spring and completes in Summer Term)
-Introduction to Applied Mathematics (20 credits) (starts in Spring Term, continues into Summer Term)
-Real Analysis (20 credits) (starts in Spring Term, continues into Summer Term)
-Linear Algebra (20 credits) (starts in Spring Term, continues into Summer Term)
-Vector Calculus (20 credits) (starts in Spring Term, continues into Summer Term)
-Statistics II (20 credits) (starts in Spring Term, continues into Summer Term)
-Numerical Analysis (10 credits) (Spring Term only)
-Mathematical Finance II (10 credits) (Spring Term only)

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The Masters Programme aims to develop students’ mathematical and computational skills, and also those in financial modelling. The curriculum includes such subjects as probability theory, stochastic calculus, numerical methods, optimisation and control theory, stochastic finance, interest rate models and credit risk. Read more
The Masters Programme aims to develop students’ mathematical and computational skills, and also those in financial modelling.
The curriculum includes such subjects as probability theory, stochastic calculus, numerical methods, optimisation and control theory, stochastic finance, interest rate models and credit risk. It thus provides a thorough training in modern mathematical finance. In studying for our Masters, students are put in contact with the most important technical and quantitative topics of finance, both theoretical and applied, which range from mathematical background to the latest trends in the financial sector. Increasingly, the financial sector demands a Masters degree in Mathematical Finance from a prestigious university as a prerequisite for recruitment. Our students have often been recruited by prominente companies whilst still preparing their Masters’ thesis, at both a national and na international level. Amongst others, such companies include: EY, Mercer, KPMG, Deloitte, CGD, the Bank of Portugal, BNP Paribas, BPI, Banque Européenne d’Investissement (EIB), Banque Centrale Européenne, Lloyds Bank, and Santander bank. ISEG - Lisbon School of Economics and Management, of ULisboa, has well established departments of Mathematics, Economics and Management, which enables our students to benefit from the consequent synergies, and it provides excellent conditions for hosting the Masters in Mathematical Finance. This fact, together with the high quality of the academic staff of this Masters, all of whom hold PhDs from
prestigious universities (such as the Stockholm School of Economics and the Universities of Oxford, Edinburgh and Barcelona), makes it unique in our country.

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The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver high quality training in the theory of Mathematical Finance with strong emphasis on computational methods. Read more

Programme description

The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver high quality training in the theory of Mathematical Finance with strong emphasis on computational methods.

Currently graduates in this field are expected to have a working knowledge of advanced computational finance (including construction of algorithms and programming skills) as well as a sound knowledge of the theory of Probability and Stochastic Analysis. These are the core theories needed in the modern valuation of complex financial instruments.

This MSc programme delivers:

a flexible programme of study relevant to the needs of employers such as: top investment banks, hedge funds and asset management firms
a solid knowledge in financial derivative pricing, risk management and portfolio management
the transferable computational skills required by the modern quantitative finance world

Programme structure

You must obtain a total of 180 credits to be awarded the MSc. Over semesters 1 and 2, you will take compulsory courses worth a total of 85 credits and optional courses worth a further 35 credits. Successful performance in these courses (assessed through coursework or examinations or both) allows you to start work on a three-month dissertation project, worth 60 credits, for the award of the MSc degree.

There are two streams: the Financial stream and the Computational stream.

Compulsory courses (both streams):

Stochastic Analysis in Finance (20 credits, semester 1)
Discrete-Time Finance (10 credits, semester 1)
Finance, Risk and Uncertainty (10 credits, semester 1)
Object-Oriented Programming with Applications (10 credits, semester 1)
Risk-Neutral Asset Pricing (10 credits, semester 2)
Stochastic Control and Dynamic Asset allocation (10 credits, semester 2)
Monte Carlo Methods (5 credits, semester 2)
Research-Linked Topics (10 credits, semesters 1 and 2)

Optional courses - Computational stream:

Numerical Methods for Stochastic Differential Equations [compulsory] (5 credits, semester 2)
Numerical Partial Differential Equations [compulsory] (10 credits, semester 2)
Programming Skills - HPC MSc (10 credits, semester 1)
Parallel Numerical Algorithms - HPC MSc (10 credits, semester 1)

Optional courses - Financial stream:

Financial Risk Theory [compulsory] (10 credits, semester 2)
Optimization Methods in Finance [compulsory] (10 credits, semester 2)
Advanced Time Series Econometrics (10 credits, semester 2)
Credit Scoring (10 credits, semester 2)
Computing for Operational Research and Finance (10 credits, semester 1)
Financial Risk Management (10 credits, semester 2)
Stochastic Optimization (5 credits, semester 2)

Learning outcomes

At the end of this programme you will have:

developed personal communications skills, initiative, and professionalism within a mathematical context
developed transferable skills that maximise your prospects for future employment, including writing, oral presentation, team-working, numerical and logical problem-solving, planning and time-management
improved your ability to convey ideas in an articulate fashion, to build upon previous mathematical training and further develop logic and deductive skills
mastered standard and advanced mathematical tools used to solve applied problems relevant to the mathematical finance industry
developed quantitative and computational skills for the proficient fulfilment of tasks in the financial sector

Career opportunities

Graduates can expect to go on to work in major financial institutions or to continue their studies by joining PhD programmes.

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This is an exciting and intensive one-year taught postgraduate programme. Our team of dedicated lecturers and support staff help to keep the course one of our most popular. Read more
This is an exciting and intensive one-year taught postgraduate programme. Our team of dedicated lecturers and support staff help to keep the course one of our most popular. In a typical year the class consists of around 15-20 students, from a number of different countries.

The Department of Mathematics, the University of York, and the historic City of York provide a uniquely attractive environment in which to live and study.

On this MSc programme you will develop skills and competence in Mathematical Finance which are of direct relevance in the field of work. For details of the modules currently offered please see Programme Structure. If you are unable to commit yourself to full-time campus-based study and would prefer to study by online distance learning then please visit the MSc in Mathematical Finance by Online Distance Learning.

Careers

The MSc in Mathematical Finance opens up fantastic employment opportunities to successful graduates in:
-Investment banks
-Hedge funds
-Insurance companies
-Stock brokerage
-Unit trusts
-Pension funds
-Corporate finance departments
-Other financial institutions worldwide.

Graduates can embark on careers in trading and pricing derivative financial securities (options, futures, forwards, and the like), fund management, risk management, research and development, or pursue further study to PhD level. For more information about career opportunities, please visit the career opportunities section.

You will also receive Transferable and Generic Skills training, along with the option of choosing various modules to add to the variety of the programme.

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This distance learning programme builds on the strength and success of the campus-based taught MSc Mathematical Finance at the University of York. Read more
This distance learning programme builds on the strength and success of the campus-based taught MSc Mathematical Finance at the University of York. The online MSc was launched in September 2009 to run alongside the campus-based programme.

Applications are invited for the intake of students in September or February. Candidates should submit their application at least two weeks before an intake is due to start.

A online Pre-sessional Programme is available for candidates who need to strengthen or consolidate their mathematics background before embarking on the MSc. Such candidates need to apply at least three months before an MSc intake is due to start.

Online students will be developing skills and competence in Mathematical and Quantitative Finance which are of direct relevance in the field of work, and can open up fantastic employment and progression opportunities.

The online programme has built-in flexibility to meet the needs of distance learners from diverse backgrounds:
-City and other professionals, who wish to pursue a postgraduate degree programme without disrupting their career commitments
-Individuals, companies and professional organisations seeking suitable Continuing Professional Development (CPD) courses
-Recent university graduates who need to support themselves or their families while continuing their studies to postgraduate level
-Students who find it difficult to attend a campus-based programme because of a variety of reasons such as family care commitments or disability
-Overseas students who seek a degree in Mathematical Finance from a leading British university but prefer to pursue their studies from their home country

Course outline

The distance learning programme is delivered online using Internet conferencing and application sharing software and a web-based Virtual Learning Environment (VLE).

A distinctive feature are regular one-to-one ("Oxbridge style") online tutorials and supervisory sessions.

Interactive presentations are provided on CDs and for downloading via the VLE in lieu of lectures, supported by lecture notes, worked exercises, synchronous one-to-one online tutorials and an asynchronous discussion forum.

No presence on campus is required, but access to suitable hardware, software and a good internet connection are necessary pre-requisites.

The online MSc programme consists of three stages: Certificate, Diploma and Dissertation, preceded by a brief Induction Module. The programme structure section provides the contents and specifications for the modules comprising each of these stages.

There are two four-month teaching periods in each academic year, 1 October - 31 January and 15 March - 15 June, and two intakes per year, in September and February. Completing the online MSc can take from 18 months (Fast Stream) to 36 months (Standard Stream). Transfers between the two streams are possible between stages.

Students have remote access to electronic library resources, and full pastoral and study support including a personal supervisor and a dissertation supervisor.

Assessment is by means of written coursework submitted electronically and a recorded online Viva Voce (an oral examination) held at the end of each of the three stages (Certificate, Diploma, Dissertation) of the programme.

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Financial engineering is one of the fastest growing areas of applied mathematics. Read more
Financial engineering is one of the fastest growing areas of applied mathematics. ​In the Master of Mathematical Finance (MMF) program, students reshape their existing analytical abilities with the help of senior academics in mathematics, computer science, statistics, and engineering who have experience with the tools of mathematical finance. This crossdisciplinary approach develops graduates with a richer, more innovative approach to applied mathematics in real-world situations. Some of the faculty are seasoned practitioner​s from the financial industry while others are from leading firms in the financial software industry, developing applications around requirements like risk management, portfolio analysis, and the pricing of advanced derivatives.

The heart of the program is the four-month internship or campus project. Working on real financial projects, students learn to integrate and apply theoretical knowledge gained earlier in the program. In the internship, students team with employees of the sponsoring firm to experience how financial mathematics impacts the decision-making processes of a financial services organization.

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The programme provides graduates with strong mathematical skills, the necessary computational techniques and finance background relevant to subsequent employment in a sector of finance such as investment banks, hedge funds, insurance companies and the finance departments of large corporations where mathematics plays a key role. Read more
The programme provides graduates with strong mathematical skills, the necessary computational techniques and finance background relevant to subsequent employment in a sector of finance such as investment banks, hedge funds, insurance companies and the finance departments of large corporations where mathematics plays a key role.

The depth of the mathematics taught should enable graduates to pursue research careers in stochastic analysis, financial mathematics or other relevant areas.

The period October to June is devoted to lectures, tutorials and practical sessions comprising the core and optional modules. This is followed by a period of about 14 weeks devoted to an individual project.

Core study areas include measure theory and martingales, stochastic models in finance, stochastic calculus and theory of stochastic pricing and a research project.

Optional study areas include programming and numerical methods, regular and chaotic dynamics, financial economics, functional analysis, elements of PDEs, static and dynamic optimisation, asset management and derivatives, and corporate finance

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/mathematical-finance/

Programme modules

Semester 1:
Compulsory Modules
- Introduction to Measure Theory and Martingales
- Stochastic Models in Finance

Optional Modules (choose two)
- Programming and Numerical Methods
- Regular and Chaotic Dynamics
- Financial Economics

Semester 2:
Compulsory Modules
- Stochastic Calculus and Theory of Stochastic Pricing
- Research Project

Optional Modules (choose three)
- Functional Analysis
- Elements of PDEs
- Static and Dynamic Optimisation
- Either Asset Management and Derivatives or Corporate Finance

Assessment

A combination of written examinations, reports, individual and group projects, and verbal presentations.

Careers and further study

This programme may lead to a wide range of employment within industry, the financial sectors, and research establishments. It may also provide an ideal background for postgraduate research in Stochastic Analysis, Probability Theory, Mathematical Finance and other relevant areas.

Scholarships and sponsorships

A number of part-fee studentships may be available to appropriately qualified international students.

Why choose mathematics at Loughborough?

Mathematics at Loughborough has a long history of innovation in teaching, and we have a firm research base with strengths in both pure and applied mathematics as well as mathematics education.

The Department comprises more than 34 academic staff, whose work is complemented and underpinned by senior visiting academics, research associates and a large support team.

The programmes on offer reflect our acknowledged strengths in pure and applied research in mathematics, and in some cases represent established collaborative training ventures with industrial partners.

- Mathematics Education Centre (MEC)
The Mathematics Education Centre (MEC) at Loughborough University is an internationally renowned centre of research, teaching, learning and support. It is a key player in many high-profile national initiatives.
With a growing number of academic staff and research students, the MEC provides a vibrant, supportive community with a wealth of experience upon which to draw.
We encourage inquiries from students who are interested in engaging in research into aspects of learning and teaching mathematics at Masters, PhD and Post Doc levels. Career prospects With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

- Career prospects
With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates
go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/mathematical-finance/

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

Overview

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

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

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

This programme will:

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

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This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis. Read more
This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

A collaboration with Advanced Risk and Portfolio Management allows MSc students to attend ARPM’s prestigious summer bootcamp at a discount; successful completion of ARPM’s bootcamp exempts students from our Risk Analytics module.

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

About the School of Mathematics

The School of Mathematics is one of seven schools in the College of Engineering and Physical Sciences. The school is situated in the Watson Building on the main Edgbaston campus of the University of Birmingham. There are about 50 academic staff, 15 research staff, 10 support staff, 60 postgraduate students and 600 undergraduate students.
At the School of Mathematics we take the personal development and careers planning of our students very seriously. Jointly with the University of Birmingham's Careers Network we have developed a structured programme to support maths students with their career planning from when they arrive to when they graduate and beyond.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/pgfunding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/pgopendays

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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Sophisticated financial markets continue to play an essential role in the economies of the modern world, and a career in the finance and banking industry can be exciting, intellectually challenging and highly lucrative. Read more
Sophisticated financial markets continue to play an essential role in the economies of the modern world, and a career in the finance and banking industry can be exciting, intellectually challenging and highly lucrative.

In spite of recent turmoil in this sector, there is still strong demand for well-qualified individuals. Areas such as quantitative analysis and risk management are now as important as ever. However, there is an increased importance that professionals working in areas such as trading, sales and financial engineering also have a solid understanding of the mathematical models (and their limitations) that are used to price and risk-manage the financial products that are traded.

This specialised programme is aimed at both new graduates and current professionals. It has been designed to provide you with the necessary mathematical tools and techniques to understand and model the complexity of financial markets, thereby enabling you to develop a successful career in the finance industry. With this programme you will:

Understand many of the advanced mathematical models used in finance
Learn about a range of important numerical tools and techniques used in the field
Gain practical skills in computer programming and software design
Undertake a substantial project, under expert supervision, in a chosen area of interest

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This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis. Read more
This programme, taught jointly by the School of Mathematics and the Department of Economics, provides the skills that will enable technically able graduates (including in mathematics, science and engineering) to apply their quantitative training to financial analysis.

A collaboration with Advanced Risk and Portfolio Management allows MSc students to attend ARPM’s prestigious summer bootcamp at a discount; successful completion of ARPM’s bootcamp exempts students from our Risk Analytics module.

In most cases, we expect that graduates from the Masters will take positions in quantitative analysis (or similar) in major financial institutions, such as in the City. The programme also prepares you to pursue further studies in academia.

About the School of Economics

At Birmingham Business School we deliver world-class research and teaching that provides the; insight, ambition and skills to shape advanced and sustainable business strategies. We put people at the heart of business and business at the heart of society.

Consistently found in global ranking tables and accredited by leading bodies, AMBA, EQUIS and AACSB. The triple-crown accreditation confirms our position within an elite group of global business schools.

Birmingham Business School is already globally renowned for the quality of our research and teaching. With students representing over 60 countries currently studying at our main campus, our courses being taught in a range of international business schools, and an international faculty and global alumni community of around 23,000 graduates, we have a global footprint that ensures worldwide impact.

Economics teaching has a long history at Birmingham and we pride ourselves on achieving very high levels of student satisfaction. We are a research-led department with specialisms in Macroeconomics, Experimental Economics, Economic Theory and Environmental Economics, to name but a few. Our commitment to teaching and research excellence ensures that our graduates benefit from very high levels of employability.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/pgfunding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/pgopendays

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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The MSc in Mathematical Trading & Finance prepares you for the sophisticated new investment opportunities, risks and instruments created by financial innovation and globalisation. Read more
The MSc in Mathematical Trading & Finance prepares you for the sophisticated new investment opportunities, risks and instruments created by financial innovation and globalisation.

The programme combines mathematical theory with practical applications, teaching you how to control risks and understand the complex structure of derivative securities. Students should be at ease with sophisticated mathematical methods and statistical techniques.

By the end of the course you will be ready to participate in derivatives markets, and many graduates have progressed directly to trading floor positions in leading banks. Cass's proximity to the City of London has done much to facilitate this progression, Cass's Bloomberg and Thomson Reuters trading rooms, which expertly simulate the trading environment, also do much to prepare you for the real world.

The Masters in Mathematical Trading and Finance was launched with the generous support of the Corporation of London.

Visit the website: http://www.cass.city.ac.uk/courses/masters/courses/mathematical-trading-and-finance

Course detail

The MSc in Mathematical Trading & Finance starts with two compulsory induction weeks, mainly dedicated to:

• 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 refresher course of advanced financial mathematics, statistics, computing and electronic databases

Format

To satisfy the requirements of the degree programme 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 Mathematical Trading & Finance, 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

There is a continuous demand for capable postgraduate level executives in the world of finance.

Graduates from the MSc in Mathematical Trading & Finance move into a range of careers in the financial sector in particular careers in trading are popular with our alumni.

Some examples of where graduates from the MSc in Mathematical Trading & Finance class of 2014 are working are:

• Accenture - Management Consultant
• Wipro - Business Analyst
• Regione Lombardia - Economic Consultant
• Ice Clear Europe - Junior Risk Analyst

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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This programme offers training in the key areas of financial analysis, forecasting and financial investment. It will provide you with an understanding of the underlying forces driving financial markets and the relevant analytical tools. Read more
This programme offers training in the key areas of financial analysis, forecasting and financial investment. It will provide you with an understanding of the underlying forces driving financial markets and the relevant analytical tools.

Why this programme

-You will develop the skills required to manage portfolios to optimise clients' objectives, exploit available information to forecast future behaviour of stocks, interest and exchange rates, and provide analysis of financial investment.
-You will have the opportunity to attend guest lectures with business leaders and opinion formers, such as the Vice President of Morgan Stanley.
-The University of Glasgow Adam Smith Business School celebrates the legacy of Adam Smith by developing enlightened, enterprising and engaged graduates and internationally-recognised research with real social impact.

Programme structure

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

Teaching is provided by lectures. Technical subjects are supported by weekly or fortnightly tutorials, which provide opportunities for you to engage with issues and questions in a group format. Some courses also involve lab sessions using specialised software.

Core courses
-Basic econometrics
-Financial markets, securities and derivatives
-Modelling and forecasting financial markets
-Portfolio analysis and investment

Optional courses
-Advanced portfolio analysis
-Applied computational finance
-Behavioural economics: theory and applications
-C++ in finance (Mathematical finance is a co-requisite for this course)
-Corporate finance and investment
-Economic fundamentals and financial markets
-Empirical asset pricing
-Financial derivatives (Mathematical finance is a co-requisite for this course)
-Financial market micro structure
-Foreign direct investment and development
-Game theory with applications in economics and finance
-Hedge fund risk management
-International finance and money
-Investment, finance and asset prices
-Mathematical finance

Career prospects

Career paths will be in financial institutions including central banks, investment banks as well as the International Monetary Fund and the World Bank, asset management firms, governmental bodies and banks. Recent graduates have gone on to work in organisations such as Ernst & Young, PricewaterhouseCoopers and various investment firms and banks.

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This programme will look at the economic and financial determinants of financial risk including market risk and some elements of liquidity and counterpart risk. Read more
This programme will look at the economic and financial determinants of financial risk including market risk and some elements of liquidity and counterpart risk. You will learn how to take advantage of the opportunities inherent to financial risk.

Why this programme

-You will learn about the determination of interest rates in bind markets, about risk management, bank regulation and the preventive role of financial regulation.
-You will learn from internationally published academics in financial economics, many of whom have worked as research collaborators or consultants with the IMF, World Bank, numerous central banks and HM Treasury.
-The University of Glasgow Adam Smith Business School celebrates the legacy of Adam Smith by developing enlightened, enterprising and engaged graduates and internationally-recognised research with real social impact.

Programme structure

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

Teaching is based on lectures which also allow opportunities for class discussion. Technical subjects are supported by weekly or fortnightly small tutorials, which provide opportunities for you to engage with some issues or questions in a group format. Some courses also involve lab sessions using specialised software.

Core courses
-Basic econometrics
-Economic fundamentals and financial markets
-Financial markets, securities and derivatives
-Financial risk analysis.

Students can drop Basic Econometrics and take Modelling and Forecasting Financial Markets as a core subject if they have a strong background in Econometrics.

Sample optional courses
-Advanced portfolio analysis (Portfolio analysis and investment is a co-requisite for this course)
-Applied computational finance
-C++ in Finance (Mathematical finance is a co-requisite for this course)
-Corporate finance and investment
-Corporate finance theory
-Empirical asset pricing
-Financial derivatives (Mathematical finance is a co-requisite for this course)
-Financial market micro structure
-Financial services
-Game theory with applications in economics and finance
-Hedge fund risk management
-International finance and money
-Mathematical finance
-Modelling and forecasting financial markets
-Portfolio analysis and investment

Career prospects

As a graduate you will be qualified to work in organisations such as central banks, investment banks, the IMF and the World Bank, asset management firms and governments bodies. Recent graduates have gone on to work at Morgan Stanley, HSBC, Deloitte, Development Bank of China, and different banks around the world.

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