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Masters Degrees (Financial Modelling)

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Birkbeck's MSc in Mathematics and Financial Modelling is a part-time programme that combines the study of mathematics at postgraduate level with a strong component of financial mathematics and modelling. Read more
Birkbeck's MSc in Mathematics and Financial Modelling is a part-time programme that combines the study of mathematics at postgraduate level with a strong component of financial mathematics and modelling. The programme offers you the chance to study a range of modules in pure and applicable mathematics, as well as financial mathematics, thus giving you the opportunity to increase your knowledge and abilities in these areas. Depending on your choices, you will take between 6 and 8 modules, allowing you to study several different topics in depth, and to focus on the areas that interest you most.

You will also learn key mathematical research skills and methods, including how to conduct a literature search, how to read mathematical papers, and how to communicate your ideas and findings, both in writing and orally. The second year of the programme includes a dissertation that allows you to engage in a sustained investigation of an area that interests you within statistics and/or finance, implementing what you have learned from the taught modules on the programme and combining this knowledge with new research and analysis.

Over 2 years, you will also acquire the skills to pursue your interests in mathematics and financial modelling to a higher level and beyond the classroom, whether for a formal MPhil/PhD research degree, for your career, or simply because you have a passion for the subject.

The programme's distinct mode of part-time evening study means that this is one of the very few taught MSc programmes in mathematics and financial modelling that can be taken by busy people who are balancing study with work and other personal and family commitments.

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Financial modelling integrates mathematical and statistical methods with advanced studies in finance. This programme will provide you with an enquiry-led understanding of interconnected subject areas in mathematics, statistics and finance. Read more
Financial modelling integrates mathematical and statistical methods with advanced studies in finance. This programme will provide you with an enquiry-led understanding of interconnected subject areas in mathematics, statistics and finance.

Why this programme

◾The programme is designed to meet the needs of highly numerate graduates (principally graduates in mathematics, statistics, engineering or a related discipline) who wish to use their skills to pursue a career in finance.
◾This programme is designed to prepare you for back-office or mid-office roles in banks or other financial services businesses, or in any other part of a financial services business where a strongly numerate role exists.

◾By the end of the programme, you will have a critical awareness of evolving and controversial areas of market behaviour. You will develop analytical, computation, evaluative and communication skills that can be applied to a wide range of finance and other business contexts.

Programme structure

On this programme, you will take eight core courses, one optional course and complete a substantial independent piece of work, normally in the form of a dissertation, on a finance-related theme, which will give you the flexibility to specialise based on your chosen area of interest. Teaching is through a combination of lectures, seminars and tutorials.

Core courses
-International capital markets
-Introduction to R programming
-Regression models
-Statistical inference
-Probability
-Financial statistics
-Time series
-Risk management and derivative securities

Optional courses
-International banking and financial markets
-Behavioural finance

Background and aims

This new degree offers a pathway for graduates with numerate degree disciplines in subjects such as mathematics, statistics, engineering, and physics, to learn about the wide interface between finance and mathematics. It is anticipated that graduates will be employed primarily in back-office roles in financial institutions.

On this programme, you will get a high-level introduction to the use of mathematics and statistics in finance. By the end of the programme, you will have a critical awareness of evolving and controversial areas of market behaviour. You will develop analytical, computation, evaluative and communication skills that can be applied to a wide range of finance and other business contexts.

This programme is designed to prepare you for back-office or mid-office roles in banks or other financial services businesses, or in any other part of a financial services business where a strongly numerate role exists.

Career prospects

The central role of accounting and finance in today’s society makes our postgraduate degrees a sound basis for many stimulating and prestigious career opportunities and our graduates are in demand. The Adam Smith Business School has graduates working in accounting and finance roles all over the world, in organisations like Deloitte, Morgan Stanley, Turner Broadcasting, KPMG, the United Nations, Coca Cola, Toyota, and PricewaterhouseCoopers.

Our dedicated College of Social Sciences Employability Officer works with students to enhance their employability.

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While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. Read more
While practically orientated, this postgraduate degree in applied statistics and financial modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.

The programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance.

The programme has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.

Why study this course at Birkbeck?

Covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
Accredited by the Royal Statistical Society - graduates are normally granted Graduate Statistician (GradStat) status.
Birkbeck brings together research and teaching across economics and finance, mathematics and statistics in a single department, which creates significant interdisciplinary synergies.
Our teaching is informed by the needs of employers and you will be taught by academics who are professional practitioners involved in the world of economics and international finance. They provide specialist advice and in-house training for government departments, City firms and banks.
Our Department houses 5 research groups, in Applied Mathematics and Finance, Econometrics and Statistical Science, Macroeconomics, Microeconomics, and Pure Mathematics, which host visiting speakers and organise seminars. The Birkbeck Centre for Applied Macroeconomics and the Commodities Finance Centre are our 2 research centres, which disseminate research, host events and house visiting academics.
You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.

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This programme gives you a flexible syllabus to suit the demands of employers that use modern financial tools and optimization techniques in areas such as the financial sector and energy markets. Read more

Programme description

This programme gives you a flexible syllabus to suit the demands of employers that use modern financial tools and optimization techniques in areas such as the financial sector and energy markets.

We will give you sound knowledge in financial derivative pricing, portfolio optimization and financial risk management.

We will also provide you with the skills to solve some of today’s financial problems, which have themselves been caused by modern financial instruments. This expertise includes modern probability theory, applied statistics, stochastic analysis and optimization.

Adding depth to your learning, our work placement programme puts you at the heart of financial organisations such as Aberdeen Asset Management, Barrie & Hibbert and Lloyds Banking Group.

Programme structure

This programme involves two taught semesters of compulsory and option courses, followed by a dissertation project.

Compulsory courses:

Discrete-Time Finance
Finance, Risk and Uncertainty
Fundamentals of Optimization
Optimization Methods in Finance
Research-Linked Topics
Risk-Neutral Asset Pricing
Simulation
Stochastic Analysis in Finance I
Stochastic Analysis in Finance II

Option courses:

Advanced Time Series Econometrics
Combinatorial Optimization
Credit Scoring
Fundamentals of Operational Research
Financial Risk Management
Computing for Operational Research and Finance
Large Scale Optimization for Data Science
Microeconomics 2
Nonlinear Optimization
Numerical Partial Differential Equations
Parallel Numerical Algorithms
Programming Skills
Risk Analysis
Stochastic Modelling
Stochastic Optimization

Career opportunities

Graduates have gone on to work in major financial institutions or to continue their studies by joining PhD programmes.

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The MSc Oil and Gas Finance course is a one year postgraduate course designed to offer advanced study of finance in relation to oil and gas projects and ventures. Read more
The MSc Oil and Gas Finance course is a one year postgraduate course designed to offer advanced study of finance in relation to oil and gas projects and ventures.

With growing demand for energy and a challenging external financial environment, the course responds to the need for specialist finance professionals versed in financial decision making in the petroleum industry. Building on RGU’s expertise in oil and gas and close association with the industry in Aberdeen (including a new Oil and Gas Institute), the course is intended to provide students with the opportunity to develop the relevant knowledge and skills to engage with the industry’s complex finance issues.

It emphasises practical problem-solving, analytical financial modelling and essential transferrable skills in researching, quantifying, evaluating and managing the financial risks and rewards of oil and gas investments. The course is a useful preparation for a career in the oil and gas industry and related roles in energy and financial markets.

Visit the website https://www.rgu.ac.uk/business-management-and-accounting/study-options/postgraduate/accounting-and-finance/msc-oil-and-gas-finance

Course detail

The course has been meticulously designed to meet the demands of the sector and to tackle a full range of topics. Specifically, the course offers a dynamic mix of theoretical and practical elements required for effective financial management and investment decision making within the oil and gas industry. The MSc Oil and Gas Finance builds on RGU’s multidisciplinary expertise across the oil and gas value chain to explore the role of the finance and investment function within this spectrum as a means for creating value.

In Semester 1 students study two generic finance modules and two additional modules to provide quantitative finance basis and an understanding of specific corporate finance considerations for the oil and gas industry. Semester 2 further develops the finance and industry specific skills. The skills required for an extensive study into a particular aspect of oil and gas finance will also be developed during this semester. These are essential in Semester 3 when each student will be required to prepare and produce a self-directed dissertation.

Semester 1

• Oil and Gas Management
• Finance Theory
• Quantitative Methods for Finance
• Energy Finance

Semester 2

• Research Methods
• Petroleum Economics and Asset Management
• Financial Modelling and Valuation of Oil and Gas Projects
• Oil and Gas Markets and Derivatives

Semester 3

• Dissertation

Format

You will learn through a combination of lectures, seminars and workshop sessions. These comprise of a mix of group study, discussion, simulation and presentations of findings by teams and individuals. You will work as an individual and also as part of a team on case studies, team activities, presentations and discussions.

Teaching is a mixture of case studies, simulations, guest seminars, lectures, tutorials, computer labs, video footage, and individual or group work. Access to our virtual learning environment, CampusMoodle, is also provided giving you access from home to the learning materials (including videos, e-books and journals).

Course Benefits

You will gain knowledge and practical skills in financial modelling, analysis, synthesis, evaluation and problem solving, through active simulation assignments and group discussions in seminars and tutorials culminating in the dissertation. We aim to produce independent thinkers who are ready and able to address the complexities and challenges of oil and gas finance faced by organisations. In collaboration with RGU’s International Oil and Gas Institute and the oil and gas industry in Aberdeen, this course is a suitably paced curriculum for providing students with the means for acquiring these relevant knowledge and skills. The unique modules and the different desirable skills and knowledge they offer are reinforced by the integrative elements of the extended dissertation and the inputs from industry. Overall, you will learn to:

• Demonstrate an advanced understanding of relevant theories, concepts, principles and frameworks of finance and a critically reflective knowledge of the basis and rationale for evaluating, analysing and synthesising key contemporary issues oil and gas industry finance.

• Demonstrate knowledge and critical understanding of appropriate analytical and modelling tools, mechanisms and markets for securing finance (through equity, debt or other suitable vehicles), optimising return and minimising risk in oil and gas investments (including derivatives).

• Demonstrate extensive detailed knowledge of the oil and gas industry data and information sources (in context within the full energy spectrum) and relevant research methods for generating and communicating original, academic, professional or practical and creative solutions to problems and issues in the area of finance.

• Critically appraise and capture the implications of complexities of oil and gas industry’s cost sharing arrangements, joint venture agreements, tax rules, environmental regulations, economic/fiscal arrangements and financial reporting standards and the international dimension of these issues in the financing/investing decision.

• Develop and authoritatively use financial tools and methodologies to extend knowledge of and critically evaluate issues in the international oil and gas industry.

• Demonstrate originality and creativity towards explaining, providing an informed opinion and advising main stakeholders on international oil and gas finance and markets.

• Provide critical input for and meticulously maintain cross-functional linkages for use of the finance function within projects in the oil and gas domain and the extended business environment.

Placements and accreditations

Our oil and gas courses are accredited by the Energy Institute and we expect that the MSc Oil and Gas Finance course will join this list in recognition of its quality and relevance to the industry. The course also shares some finance modules with the MSc Financial Management course that is recognised by the Chartered Financial Analyst Institute in their University Recognition Program

Careers

A postgraduate qualification in Oil and Gas Finance provides the graduate with extensive opportunities for a career with local, national and international companies in the fields of oil and gas finance, policy and economics.

The course structure will provide a breadth of coverage to allow graduates to pursue a variety of roles and careers in the oil and gas industry within, for example, energy companies, government departments or regulatory bodies and parastatals, consulting and research companies, and various roles in energy and financial markets and institutions, including oil and gas trading, financial analysis, equity research, benchmarking and intelligence. The qualification can also be a stepping stone for advanced research degrees (e.g., PhD) in finance.

How to apply

To find out how to apply, use the following link: http://www.rgu.ac.uk/applyonline

Funding

For information on funding, including loans, scholarships and Disabled Students Allowance (DSA) please click the following link: http://www.rgu.ac.uk/future-students/finance-and-scholarships/financial-support/uk-students/postgraduate-students/postgraduate-students/

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

About the course

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

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

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

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

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

Aims

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

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

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

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

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

Course Content

Programme structure

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

Compulsory modules:

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

Elective Modules:

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

Special Features

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

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

Assessment

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

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If you are from a non-financial background, this course provides a viable route to financial management roles in a variety of organisations. Read more

Why take this course?

If you are from a non-financial background, this course provides a viable route to financial management roles in a variety of organisations.

It is a practically orientated course based on financial, computational and modelling studies related to financial decision making and analysis. You’ll apply your improved decision-making ability in a range of areas including investment, risk management, budgeting, planning and forecasting.

What will I experience?

On this course you can:

Use the University’s Bloomberg terminals to monitor and analyse real-time financial market data movements and trade
Receive guided support and mentoring from staff through formal meetings and via our use of social media
Tap in to our Library’s vast selection of electronic resources, which can be accessed from anywhere with an internet connection

What opportunities might it lead to?

The Chartered Institute of Management Accountants (CIMA) offer exemption for their five Certificate level papers on successful completion of this course.

For the Association of Chartered Certified Accountants (ACCA), we currently have exemptions from Fundamentals Level papers F1 - F3.

The University is recognised as a centre of excellence for finance teaching by the Chartered Institute for Securities and Investment (CISI).

Here are some routes our graduates have pursued:

Commercial banking
Corporate finance
Financial planning
Insurance
Investment banking
Money management
Real estate

Module Details

You will study a total of five units which incorporate a range of topics covering decision and risk analysis, strategic management accounting, investment strategies and business valuation. We will also guide you in applying sophisticated forecasting techniques to help you understand and anticipate business trends, and with our guidance you will learn how to design and deliver research to the highest standards. The course then concludes with your dissertation where you’ll engage in research on a topic of your choice.

Here are the units you will study:

Financial Analysis and Modelling: This will enable you to gain a critical awareness of the financial environment from both an accounting and finance perspective. You will learn to understand, analyse and interpret company reports, examine the role of the regulatory framework for corporate reporting and the stock market, and explore the pricing of securities. You will also cover the key areas of decision and risk analysis, alongside the process of decision making, key statistical concepts, and selecting and using appropriate analytical software tools as aids to decision making.

Strategic Business Planning and Control: You will start on this unit by considering the internal perspectives of the firm in areas such as business planning and control including issues such as budgeting, the design of management control systems and the development of spreadsheet-based decision support systems. You will then build on this foundation by developing a more strategic corporate perspective. You will explore the relationships between strategy, strategic management and strategic management accounting and set the latter in the context of the historical development of management accounting in general.

Managerial Finance and Financial Markets: You will be introduced to key theoretical issues relating to financial markets and institutions, investments and corporate financial management and their practical applications and limitations. The areas covered will encompass shareholder value and the goals of the firm and the process of shareholder value creation, project evaluation and the discounted cash flow model, capital market theories including the efficient markets hypotheses and the ideas of modern portfolio theory. From this core understanding you will move on to look at the psychological, institutional and agency theory factors that impact upon financial markets. You will consider key empirical research on the explanatory and predictive power of models in the context of implementing investment strategies. This will be assisted by guided critical analysis of research and analysis of live data.

Corporate Finance and Valuation: This unit will give you the opportunity to consider the primary financial decisions of the firm focussing on advanced capital budgeting techniques and the strategic analysis of capital investment decisions, capital structure theories and financing policy, and dividend policy. You will appraise theories in the context of empirical research to facilitate critical understanding of the issues. Advanced study in business valuation will give you a practical understanding and further enable you to apply key professional techniques, which is particularly relevant for mergers and acquisitions, initial public offerings and private equity transactions.

Research Methods and Dissertation: This is a scheme of independent research. We offer comprehensive training via lectures and workshops throughout the year to develop skills commensurate with standards of good research practice. On completing this programme you will be ideally placed to develop your own research projects and work within professional research teams.

Programme Assessment

We use a combination of teaching methods from lectures, seminars and tutorials to student presentations, case studies and practical sessions in our Bloomberg Suite. We are committed to best practice in learning and encourage group participation promoting discussion and debate in a friendly, yet challenging class environment.

You are assessed in a variety of ways to reflect the individual topics. Our approaches to learning, assessment and feedback are varied and constructive, to help you build the personal management and employability skills that are essential for a fulfilling career.

Student Destinations

This course is designed to provide you with powerful analytical tools and methods to understand the complexities of modern financial markets. These skills are in high demand and you’ll be strongly placed to enter industry in the finance and industrial sectors. Previous graduates have gone on to secure roles in accountancy and general management as well as investment analysis, financial consultancy and project management in financial institutions. Alternatively, this course is also beneficial if you are aiming for careers in corporate financial management in non-financial companies or consultancy firms, government departments and international agencies.

Roles our graduates have taken on include:

Commercial finance analyst
Bid pricing executive
Finance internship
Graduate econometrician
Hedge fund manager

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Our department's Master’s program encompasses three fields. Statistical Theory, Actuarial Science and Financial Modelling. Students in the Statistical Theory field will study probability, inference, statistical computing and data analysis in depth. Read more
Our department's Master’s program encompasses three fields: Statistical Theory, Actuarial Science and Financial Modelling. Students in the Statistical Theory field will study probability, inference, statistical computing and data analysis in depth. Students in the Actuarial Science field will learn about survival analysis, risk, ruin, mortality and their connections with finance. Students in the Financial Modelling field will learn the theory and application of deterministic and stochastic models used in the banking industry.

Visit the website: http://grad.uwo.ca/prospective_students/programs/program_NEW.cfm?p=140

How to apply

For information on how to apply, please see: http://grad.uwo.ca/prospective_students/applying/index.html

Financing your studies

As one of Canada's leading research institutions, we place great importance on helping you finance your education. It is crucial that you devote your full energy to the successful completion of your studies, so we want to ensure that stable funding is available to you.
For information please see: http://grad.uwo.ca/current_students/student_finances/index.html

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Financial engineering involves the creation of financial products that are aimed specifically at the needs of investors, rather than the conventional approach of defining assets on the basis of borrowers' requirements. Read more
Financial engineering involves the creation of financial products that are aimed specifically at the needs of investors, rather than the conventional approach of defining assets on the basis of borrowers' requirements. Central to Financial Engineering are relative value (sometimes called arbitrage) trading strategies and the structuring of financial products, and the closely associated process of securitisation. Structuring involves the transformation of cash flows derived from an asset and improving the risk profile of the structured product. The contemporary derivative markets are driven by the process structuring, both in terms of transforming cash flows through “swaps” and credit enhancement through credit derivatives.

The programme aims to develop the skills and knowledge required by the modern investment and asset management industry where relative value trading strategies and structuring dominate. The emphasis is on developing a range of practical skills rather than develop an abstract "theory of everything". This reflects the need for practitioners to be able to employ different techniques in the ever changing world of contemporary finance.

The material is based substantially on the PRIMIA syllabus for risk management and the Actuarial Profession’s Specialist Technical (ST) syllabus to value and manage the risks associated with a portfolios of derivatives.

The taught component of the degree makes up 120 credits. There are seven mandatory courses leading to 75 credits and consisting of:

• Enterprise Risk Management (15 credits, Semesters 1) - a comprehensive treatment of Financial Risk Management focusing on quantitative aspects.

• Derivative Markets and Pricing (15 credits, Semester 1) - an introduction to derivative markets and how derivative products are priced.

• Modelling and Tools (15 credits, Semester 2) - the fundamental techniques of deterministic and probabilistic mathematical modelling.

• Financial Engineering (15 credits, Semester 2) - provides a thorough grounding in the mathematics underpinning Financial Engineering. Topics include non-standard derivatives, securitisation and structuring, modelling interest rates (including Libor Market Models and valuing swaptions) and contemporary issues in asset management (relative value and pairs trading strategies).

• Credit Risk Modelling (15 credits, Semester 2) - a detailed treatment of the mathematics underpinning Basel Accord on banking supervision and Solvency II for insurance.

Students will also choose three of the following five optional courses leading to a further 45 credits

• Statistical Methods (15 credits, Semester 1) - a foundation course in probability and statistics.

• Financial markets (15 credits, Semester 1) - an introduction to the financial markets.

• Time Series Analysis and Financial Econometrics (15 credits, Semester 2) - analysis and modelling of financial data.

• Modern Portfolio Theory (15 credits, Semester 2) - classical portfolio theory based on maximising expected utility

• Bayesian Inference & Computational Methods (15 credits, Semester 2) - a course on modern Bayesian statistical inference and involving implementing the Bayesian approach in practical situations

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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.

Our dedicated College of Social Sciences Employability Officer works with students to enhance their employability.

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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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* Ranked within the UK top 10 Business Schools according to The Times and The Sunday Times Good University Guide 2015 and The Complete University Guide 2016. Read more
* Ranked within the UK top 10 Business Schools according to The Times and The Sunday Times Good University Guide 2015 and The Complete University Guide 2016

* EQUIS accredited placing us in the top 1% of business schools globally

* Connections with an extensive and diverse range of businesses including Canon, Thomson Reuters, Lloyds Banking Group, IBM, Coca Cola and the Met Office

* Our teaching is research-led – you will study with internationally respected academics who are experts in their fields
We have partnerships with over 40 overseas universities or business schools and this figure is growing all the time

Quantitative financial methods are one of the fastest growing areas of the present day banking and corporate environments. The solution by Black, Scholes and Merton of the option pricing problem set off a revolution in finance resulting in the introduction of sophisticated mathematical techniques in the financial markets and corporate planning.

To understand, apply and develop these sophisticated methods requires a good understanding of both advanced mathematics and advanced financial theory. By combining the financial expertise in the University of Exeter Business School with expertise in the Mathematical Research Institute of the Mathematics Department at the University, this intensive MSc programme will prepare you for careers in areas such as international banking or international business. For those with a strong mathematical background, and a wish to pursue a finance career, this programme is the ideal introduction to this exciting field.

Careers

The programme prepares you for a career in financial modelling within financial institutions themselves and within other sectors. It builds upon the success of Exeter’s well-established range of Masters programmes in Finance and related areas, many of whose graduates now hold senior positions in areas such as corporate financial strategy, financial planning, treasury and risk management and international portfolio management.
With the strong links between the College and the Met Office, the course also prepares you for career opportunities within reinsurance and credit risk management, especially in the development of financial models that rely on weather/climate systems.

Programme structure

The taught element of the programme takes place between October and May and is arranged into two 12-week teaching semesters. The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

Compulsory modules

Recent examples of compulsory modules are as follows; Methods for Stochastics and Finance; Analysis and Computation for Finance; Mathematical Theory of Option Pricing; Fundamentals of Financial Management; Research Methodology and Advanced Mathematics Project.

Optional modules

Some recent examples are as follows; Topics in Financial Economics; Investment Analysis; Banking and Financial Services; Derivatives Pricing; Domestic and International Portfolio Management; Financial Modelling; Advanced Corporate Finance; Alternative Investments; Quantitative and Research Techniques; Advanced Econometrics; Dynamical Systems and Chaos; Pattern Recognition; Introduction to C++ and Level 3 Mathematics Modules

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

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

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

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

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

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

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

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

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

Our expert staff

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

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

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

Specialist facilities

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

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

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

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

Your future

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

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

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

Example structure

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

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Gain the skills you need to make measured and effective financial choices. With our Masters degree you’ll be primed to make investment portfolio decisions that pay off. Read more
Gain the skills you need to make measured and effective financial choices. With our Masters degree you’ll be primed to make investment portfolio decisions that pay off.

See the website http://www.anglia.ac.uk/study/postgraduate/finance

Learn the theory behind finance and investment, which provides the backbone for all decisions and corporate policy you may come across in your career. While you’re studying with us, you’ll gain the technical and analytical skills needed to understand financial literature, and the ability to undertake independent research in the fields of finance and investment.

Throughout your studies you'll be exposed to industry-standard financial modelling software, and have opportunities to attend guest lectures from a variety of expert professional and academic speakers.

Our course will prepare you for a wide range of roles and investment opportunities in the financial world. You may already be working successfully in finance and want to continue your professional development, or you might be looking to move into financial management. This course could also be a step towards undertaking research at doctorate level.

Lord Ashcroft International Business School is one of the largest business schools in the east of England. Our students benefit from state-of-the-art teaching and learning facilities, study areas, campus libraries with online databases containing professional journals, plus our Virtual Learning Environment (VLE) through which you can access study resources and help.

See the website http://www.anglia.ac.uk/study/postgraduate/finance

Careers

Lord Ashcroft International Business School is held in high regard by employers. We’re the business school of choice for a number of world-renowned employers including Barclays, UPS, Crawfords and Harrods, whose staff study our business degrees.

This course is your opportunity to learn advanced level skills across a range of financial areas, including working with complex data and using sophisticated mathematical and simulation modelling techniques. You’ll be able to manipulate data to aid decision- and policy-making, and may work at managerial and directorial levels in a wide range of financial environments.

Modules & assessment

Core modules:
Financial Management
Global Financial Markets
Financial Modelling and Business Forecasting
Mergers and Acquisitions
Research Methods for Business and Management
Postgraduate Major Project

Optional modules:
Non-Commercial Governance

Assessment

We’ll assess you in a number of ways, both individually and as part of a group, including:
- simulation-enhanced assignment
- portfolio-based assessment
- case-based examinations
- group presentations
- individual assignments
- report preparation.

- This is a 1 year programme
Alongside your core modules you will pick a number of optional modules. Please note that modules are subject to change and availability.

Your faculty

The Lord Ashcroft International Business School is one of the largest business schools in the East of England, with nearly 100 full-time teaching staff and approximately 6,000 students from more than 100 countries.

Our striking and award-winning business school building in Chelmsford, as well as new buildings in Cambridge, offer the most advanced learning technologies. We’re well-recognised for our centres of excellence by students, employers and professional bodies alike.

What makes us stand out is that our courses don't just give you sound academic knowledge – they’re at the cutting edge of current business practice and highly relevant to employers. This is owing to the close links we have with the business community and the partnerships we've developed with a wide variety of businesses and public service organisations.

We're interested in people who are confident, ambitious and ready to take the challenge of making a difference in the world of business. If that's you, we'd love to hear from you.

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Actuaries evaluate and manage financial risk. They make financial sense of the future for their clients by applying advanced mathematical and statistical techniques to solve complex financial problems. Read more
Actuaries evaluate and manage financial risk. They make financial sense of the future for their clients by applying advanced mathematical and statistical techniques to solve complex financial problems.

Qualifying as an actuary is a passport to a wide variety of careers in insurance companies, investments, pensions, health care and banking – not just in the UK, but throughout the world. Kent is one of a very few universities in the UK to teach the subject.

Our MSc in Applied Actuarial Science is fully accredited by the Institute and Faculty of Actuaries; it also provides a fast-track route to qualifying as an actuary, because students who achieve a high enough overall mark in this programme can obtain exemptions from the professional examinations included within their studies.

The MSc is available as a full-time (one-year) or part-time (two-year) programme and is suitable for those who have completed a first degree or postgraduate diploma in Actuarial Science, or those who have studied the majority of the earlier subjects in the Core Technical Stage subjects.

Visit the website https://www.kent.ac.uk/courses/postgraduate/174/applied-actuarial-science

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills.

In 2010, the Centre for Actuarial Science, Risk and Investment (CASRI) was set up within SMSAS to reflect the widening scope of the teaching and research of the staff. Areas of research interest include economic capital and risk management for financial services firms, mortality and longevity modelling, longevity indices and markets. Other research topics include genetics and insurance, insurance economics, pensions and corporate reporting.

The Centre includes 13 professionally qualified actuaries with many years’ practical experience in insurance and pensions, and who maintain excellent links with the actuarial profession.

Course structure

The course is based on a ‘core modules plus options’ structure and exemptions can be gained from the following professional examinations in the Core Applications Stage and Specialist Technical Stage: CA1, CA3, ST2, ST4 to ST9. You can also choose the optional Financial Modelling modules, which prepare you for subject CA2 in the Core Applications Stage. Find out more about accreditation for this programme (http://www.kent.ac.uk/casri/Accreditation/index.html) and the Institute and Faculty of Actuaries examinations (http://www.actuaries.org.uk/students/pages/our-exams-explained).

You must take 180 credits in order to pass the MSc. If you take fewer than 180 credits, you may be eligible for the Postgraduate Diploma in Applied Actuarial Science.

Modules

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

MA909 - Enterprise Risk Management (30 credits)
MA912 - Life Insurance (30 credits)
MA914 - Pensions and Other Benefits (30 credits)
MA915 - Finance and Investment (30 credits)
MA916 - Derivative Securities (30 credits)
MA917 - General Insurance - Reserving and Capital Modelling (30 credits)
MA918 - General Insurance - Premium Rating (30 credits)
MA950 - Prophet (15 credits)
MA951 - Prophet 2 (15 credits)
MA952 - Financial Modelling (15 credits)
MA953 - Communications (15 credits)
MA921 - Actuarial Risk Management 1 (30 credits)
MA922 - Actuarial Risk Management 2 (30 credits)

Assessment

Assessment is usually by a mixture of coursework and examination; exact weightings vary from module to module.

- Accreditation
Students who are considered to have performed sufficiently well in the programme (both in examinations and coursework), as determined by an examiner appointed by the UK Actuarial Profession, will be exempt from subjects CA1, CA3 and the Specialist Technical subjects studied within the programme.

If you fail to achieve a suitable overall standard, you might still be awarded individual module exemptions as recommended by the Profession’s examiner. Please note that individual exemptions are granted based on the final written examinations only.

Programme aims

This programme aims to:

- provide successful students with eligibility for subject exemptions from the Core Application and Specialist Technical series of examinations of the Institute and Faculty of Actuaries. This means obtaining a thorough knowledge of core actuarial applications, developing the ability to apply this knowledge in a practical situation and gaining current knowledge and understanding of the practice of major areas in which actuaries are involved.

- develop your understanding, knowledge and awareness of current problems, much of which is at the forefront of current professional practice.

- ensure you are competent in the use of information technology, and are familiar with computers, together with the relevant software.

Careers

The UK Actuarial Profession

The UK Actuarial Profession is small, but influential and well rewarded. There are more than 6,500 actuaries currently employed in the UK, the majority of whom work in insurance companies and consultancy practices.

Survey results published by the Institute and Faculty of Actuaries (http://www.actuaries.org.uk/becoming-actuary/pages/what-can-actuary-earn) suggest that the average basic salary for a student actuary is £36,842 with pay and bonuses increasingly sharply as you become more experienced. The average basic salary of a Chief Actuary is £209,292.

As an actuary, your work is extremely varied and can include: advising companies on the amount of funds to set aside for employee pension payments; designing new insurance policies and setting premium rates; pricing financial derivatives and working in fund management and quantitative investment research; advising life insurance companies on he distribution of surplus funds; and estimating the effects of possible major disasters, such as earthquakes or hurricanes, and setting premium rates for insurance against such disasters. For more information about the actuarial profession, see http://www.actuaries.org.uk

- Employability support

Helping our students to develop strong employability skills is a key objective within the School and the University. We provide a wide range of services and support to equip you with transferable vocational skills that enable you to secure appropriate professional positions within industry. Within the School we run specialist seminars and provide advice on creating a strong CV, making job applications and successfully attending interviews and assessment centres.

Our graduates have gone on to successful careers in the actuarial, finance, insurance and risk sectors.

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

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