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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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This programme will help you develop an excellent understanding of statistics, along with advanced practical knowledge of financial markets. Read more

This programme will help you develop an excellent understanding of statistics, along with advanced practical knowledge of financial markets. It will provide you with an enquiry-led understanding of interconnected subject areas in statistics and finance. It is ideally suited for graduates in mathematics, statistics, engineering, or a related discipline who wish to use their skills to pursue a career in finance.

Why This Programme

  • There is an increased demand for professionals who can apply mathematical and statistical skills in the financial environment. This Masters in Financial Modelling is intended to develop your skills in statistics and enable you to successfully apply them to complicated financial modelling. 
  • It is a research driven programme where you will develop a critical awareness of financial theories, models and how capital markets work, together with an understanding of the evolving and challenging areas of market behaviour, risk management and international banking.
  • This programme combines the teaching strengths of the Statistics Group in the School of Mathematics & Statistics with the Adam Smith Business School’s accounting & finance department to develop and enhances your analytical, computation, evaluative and communication skills.
  • You will develop an excellent understanding of probability, statistical inference, time series and R programming along with practical skills of financial statistics.
  • You will be taught by academics who have internationally recognised research, as well as having access to Bloomberg terminals, prestigious financial databases and MATLAB.

Programme Structure

You will take eight core courses and one optional course, and complete a substantial independent piece of work, normally in the form of a dissertation, on a finance-related theme. Teaching is through a combination of methods including lectures, seminars, tutorials and practical programming and data analysis classes. You will also have the opportunity to attend practitioner seminars so you can learn from leading experts. 

Core courses

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

Optional courses may include

  • Behavioural finance
  • International banking and financial markets.

Career Prospects

Financial Modelling prepares you for a rewarding career in the financial sector for example as a quantitative financial analyst, equity analyst or risk analyst. Recent graduates have gone on to work for KPMG, Deloitte and Citic Securities. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects. 



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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

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 Moody's Analytics, Standard Life Investment and Lloyds Banking Group.

Programme structure

This programme involves two taught semesters of compulsory and option courses, followed by a dissertation project. You must obtain a total of 180 credits to be awarded the MSc. Over semesters 1 and 2, you will take a number of compulsory courses and optional courses. 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, possibly with one of our industry partners, for the award of the MSc degree.

Compulsory courses:

  • Discrete-Time Finance (10 credits, S1)
  • Stochastic Analysis in Finance (20 credits, S1)
  • Fundamentals of Optimization (10 credits, S1)
  • Research-Linked Topics (10 credits, full-year)
  • Finance, Risk and Uncertainty (10 credits, S1)
  • Risk-Neutral Asset Pricing (10 credits, S2)
  • Simulation (10 points, S2)
  • Optimization Methods in Finance (10 credits, S2)

Optional courses:

  1. Operations Research and Mathematical Finance courses:
  • Financial Risk Theory (10 credits, S1)
  • Computing for Operational Research and Finance (10 credits, S1)
  • Fundamentals of Operational Research (10 credits, S1)
  • Stochastic Control and Dynamic Asset Allocation (10 credits, S2)
  • Credit Scoring (10 credits, S2)
  • Financial Risk Management (10 credits, S2)
  • Risk Analysis (5 credits, S2)
  • Stochastic Modelling (10 credits, S2)
  1. Relevant Statistical and Numerical courses:
  • Multivariate Data Analysis (10 credits, S2)
  • Numerical Partial Differential Equations (10 credits, S2)
  • Advanced Time Series Econometrics (10 credits, S2) (offered by the School of Economics)
  1. Programming courses:
  • Object-Oriented programming with applications (10 credits, S1)
  • Parallel Numerical Algorithms (10 credits, S1), (offered by EPCC)
  • Programming Skills (10 credits, S1), (offered by EPCC)
  1. Optimization courses:
  • Combinatorial Optimization (5 credits, S2)
  • Large Scale Optimization for Data Science (10 credits, S2)
  • Modern Optimization Methods for Big Data Problems (10 credits, S2)
  • Nonlinear Optimization (10 credits, S2)
  • Stochastic Optimization (5 credits, S2)

Work placements/internships

We work closely with the Scottish Financial Risk Academy (SFRA) to offer a number of short courses led by industry (part of our Research-Linked Topics) and to provide the opportunity to our best students to write their dissertations during placements with financial services companies.

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



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The ICMA Centre’s financial engineering degree is highly respected by quantitative analysts and their employers. The credit crunch and subsequent events have emphasised the need to develop better pricing and better hedging models for all complex products. Read more

The ICMA Centre’s financial engineering degree is highly respected by quantitative analysts and their employers. The credit crunch and subsequent events have emphasised the need to develop better pricing and better hedging models for all complex products. The practical and quantitative skills that you will develop on the programme will equip you to meet this challenge.

Our compulsory modules provide a firm grounding in probability theory, stochastic calculus, derivatives pricing, quantitative and numerical methods, structuring products, volatility analysis, and the modelling of credit, equity, foreign exchange and interest rate derivatives. We also provide a thorough training in C++ and other programming tools.

Optional modules will allow you to focus on risk analysis, portfolio management, designing trading strategies or econometric analysis. This newly structured degree aims to further enhance the strong reputation of its precursor – the MSc in Financial Engineering and Quantitative Analysis, which was established back in 1999. A good background in mathematics is required for acceptance to this programme (see entry requirements below).

Highlights

  • A highly technical programme for those with strong mathematical skills
  • Gain knowledge of derivatives pricing tools and methods, as well as the use of programming languages like C++ and VBA
  • Designed with the support of industry practitioners to equip students with the skills and knowledge needed to succeed
  • Graduates are able to make an early contribution through the unique combination of hands-on, practical skills and the necessary underlying finance theory
  • Benefit from the combined expertise of both the ICMA Centre and the Department of Mathematics

Course structure

October – December: Part 1 Autumn Term

January: Part 1 Exams

January-April: Part 2 Spring Term

May – June: Part 2 Exams

June – August (12 month programme only): Part 3

August/Sep (12 month programme only): Part 3 Coursework deadlines

Course content

Part 1 compulsory modules

Part 2 compulsory modules

Part 2 optional modules

Students on the 9-month (12-month) programme can select 40 (20) credits from the following modules:

Part 3 optional modules

Optional modules

Students on the 12-months programme should take 20 credits from the following:

Learning options

Full-time: 9 months Full-time: 12 months

Students will be resident and undertake full-time study in the UK. Under both, the 9 and 12-month programmes students take compulsory and/or elective modules in Part 2.

The 12 month option involves taking an elective 20 credit module between July and August, which would also mean a 20 credit reduction in the number of taught modules taken in the spring term.

Careers

Many of our financial engineering graduates are now working as Quants in large London banks and other financial institutions. Others have pursued PhDs and have successful academic careers. Financial instruments are becoming ever more sophisticated, so graduates that understand complex modelling techniques are always in great demand. The high quantitative content of this programme opens many doors to a wide range of careers. You could structure and develop new debt or equity solutions to meet clients funding and hedging needs, or you could become a proprietary trader in exotic derivatives, or a software specialist or a quantitative analyst supporting the traders.

There are excellent opportunities on the buy-side, with hedge funds and investment institutions, as well as in investment banking and in software analytics. Opportunities in quantitative research, or with a rating agency, are among the many other attractive alternatives. Outside of mainstream banking and investment, you might also consider firms involved in commodity and energy trading, or the treasury divisions of leading multinationals and management consultancies.

Professional accreditation

ICMA Fixed Income Certificate

To obtain the requisite knowledge to pass the rigorous FIC exam, students are required to take the ICMA Centre Fixed Income Cash and Derivatives Markets module at Part 2. In order to receive the FIC certificate, students will need to register and pass the FIC exam through ICMA.



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The theoretical application of mathematics to the world of finance allows you to make good, informed decisions in the face of uncertainty. Read more

The theoretical application of mathematics to the world of finance allows you to make good, informed decisions in the face of uncertainty. With the growth and progression of business across the globe, the need for those who can understand quantitative financial methods are becoming increasingly lucrative, sought-after individuals. For those with a strong mathematical background, and a wish to pursue a finance career, this programme is the ideal introduction to this exciting and expanding field.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 our internationally respected Mathematics department, this comprehensive MSc programme will prepare you for careers in areas that require expert skills in mathematical and financial modelling, computational analysis and business management.

You will gain essential, complementary skills in multiple areas of study such as probability and stochastic analysis, option pricing, risk analysis and extremes, computational methods using MATLAB/C++, financial management and investment analysis. In addition, you will branch into a specialist area of study as you conduct a substantial project in a field of your choosing. The project will allow you to develop your research, computational and modelling skills with support from staff who have extensive experience working in multiple financial services and insurance industries.

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.

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; Advanced Mathematics Project.

Optional modules

Some recent examples are as follows; Topics in Financial Economics; Investment Analysis 1; Banking and Financial Services; Derivatives Pricing; Domestic and International Portfolio Management; Investment Analysis II; Financial Modelling; Advanced Corporate Finance; Alternative Investments; Quantitative and Research Techniques; Advanced Econometrics; Dynamical Systems and Chaos; Pattern Recognition; Introduction to C++; Level 3 Mathematics Modules.



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Global capital and money markets are rapidly evolving and critical expertise is highly sought after. If you’re interested in a professional career in finance and investment, this Masters will equip you to apply your problem-solving skills to the financial markets. Read more

Global capital and money markets are rapidly evolving and critical expertise is highly sought after. If you’re interested in a professional career in finance and investment, this Masters will equip you to apply your problem-solving skills to the financial markets.

You’ll be introduced to advanced concepts and practices in essential topics including international investment, financial modelling, corporate finance and security investment analysis.

Thanks to our excellent links with industry, commerce and professional bodies, you’ll gain a practical understanding of how essential financial theory is applied in practice. Case study exercises and simulations test your knowledge in real business scenarios, connecting you with the latest challenges and issues in the financial markets.

You’ll learn from leading academics with research and consultancy expertise to gain a qualification valued worldwide in the finance and investment industry.

Academic excellence

As a student, you will be able to access the knowledge of our advanced specialist research units, which also have strong links with leading institutions in the US, Europe and Asia. These include the Centre for Advanced Study in Finance (CASIF), the Institute of Banking and Investment (IBI) and the Credit Management Research Centre (CMRC). This research makes an important contribution to your learning on the MSc Finance and Investment; you will benefit from a curriculum that is informed by the latest knowledge and critical thinking.

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

Course content

Throughout the course we support you to develop the professional skills that will be critical for a successful career in the financial services.

You’ll build knowledge of key topics in finance and investment such as financial modelling, corporate finance, security investment analysis and international business finance. You’ll apply this knowledge of financial theory to solve real problems and explore international investment in depth.

Your choice of optional modules will allow you to gain specialist knowledge in areas that suit your career plans. You’ll be expected to take at least one of Corporate Governance or Behavioural Finance, but you could also study accounting, financial derivatives, forensic finance and more.

The programme will improve your understanding of research methods in finance, during a dedicated module led by experts currently involved in cutting-edge research. You’ll apply this knowledge to design and carry out your own research dissertation on a related topic of your choice, developing your ability to tackle the most pressing challenges currently facing the industry.

Course structure

Compulsory modules

You’ll take eight compulsory modules including your dissertation.

  • Security Investment Analysis 15 credits
  • Corporate Finance 15 credits
  • Applied Finance 15 credits
  • Financial Modelling and Analysis 15 credits
  • International Investment 15 credits
  • Accounting and Finance Dissertation 45 credits
  • Critical Skills for the Finance Professional 15 credits

Optional modules

You’ll also take two optional modules, one of which must be either Behavioural Finance or International Business Finance.

  • Portfolio Risk Management 15 credits
  • International Business Finance 15 credits
  • Forensic Accounting and Finance 15 credits
  • Behavioural Finance 15 credits
  • Financial Derivatives 15 credits
  • Corporate Governance 15 credits
  • Discrete Time Finance 15 credits

For more information on typical modules, read Finance and Investment MSc in the course catalogue

Learning and teaching

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

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

For example, students have developed their knowledge of financial markets through a one-week trading simulation delivered in partnership with Amplify Trading. Read more about professional development activities for finance students.

Assessment

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

Career opportunities

As a graduate of this course you will be able to demonstrate in-depth knowledge of core finance and investment principles, and the numerical and analytical skills to succeed in this rapidly changing complex environment.

Graduates have a broad appeal to employers in the worldwide finance sector. Many have gone on to careers such as traders, risk managers, portfolio managers and security analysts.

Our unique combination of business and mathematics modules enables you to perform successfully in a business environment by making the best use of your analytical and programming skills.

Careers support

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

We’re committed to offering a wide range of development and training opportunities. Recent activities have included field trips, CV building and interview sessions, professional risk management workshops and commercial awareness networking events.

Read more about our careers and professional development support.

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



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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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Course structure. This Master's is suitable if you aim to build your financial skills set so that you are able to take up key roles in corporate finance or risk management within different sectors. . Read more

Course structure

This Master's is suitable if you aim to build your financial skills set so that you are able to take up key roles in corporate finance or risk management within different sectors. 

You will develop your knowledge and critical understanding of the varied financial management and treasury needs of organisations in both domestic and international financial activities.

The design of this degree takes into account the need for businesses to address the consequences of globalisation and global operations on financial management with emphasis being placed on risk assessment and management. You will also undertake a dissertation enabling you to demonstrate your deeper understanding in a subject of your choice.

Student diversity

The Master's finance suite of programmes has a typical intake of over 80 students with over 30 nationalities. This provides you with an excellent opportunity to exchange viewpoints on global financial impacts with peers from around the world.

Greenwich is one of the top two most globally diverse universities in the UK, US, Australia and New Zealand, by Hotcourses Diversity Index.

We have also been named as one of the "most international" universities on the planet by Times Higher Education magazine.

Industry experts

Industry experts provide guest lectures, career development advice and curriculum input. Sector professionals are involved in developing content and teaching on various courses. As part of our continuing Big Picture guest seminar series, senior executives from Northern Trust and Barclays are invited to pass on their insights and experience.

Rankings

Our accounting and finance subjects at the University of Greenwich are ranked:

  • Third in London for student satisfaction in the Complete University Guide 2017
  • Third in London for course satisfaction in the Guardian University Guide 2016.

Outcomes

The degree aims to:

  • Develop your financial knowledge in the context of the global economy
  • Provide an intellectually demanding academic programme of study which develops your knowledge and critical understanding of the varied financial management and treasury needs of organisations.

What you'll study

Full-time

Year 1

Students are required to study the following compulsory courses.

Students are required to choose 1 course from this list of options.

Part-time

Year 1

Students are required to study the following compulsory courses.

Students are required to choose 45 credits from this list of options.

Year 2

Students are required to study the following compulsory courses.

Students are required to choose 60 credits from this list of options.

Assessment

Students are assessed through:

  • Examinations
  • Coursework
  • A dissertation.

Careers

Graduates from this programme may find employment in industry as financial managers, corporate treasurers or risk analysts.

Employers of our graduates include AES Corporation, Ahorro Corporation, European Dynamics, Headstrong, Piraeus Bank and Polish Telecom.

We have developed strong relations with companies in the financial centres in London, including in the City, Canary Wharf and Fenchurch Street. This offers you networking, mentoring and internship opportunities, making it a perfect location to develop your career.

You can also reach out to top employers through our dedicated Business School Employability Office (BSEO). Our team focuses on developing your employment skills through CV support, interview skills workshops and guidance through mentors to progress in the industry. This includes the opportunity to network with employers and recruiters at career fairs.

The BSEO team was shortlisted for the Times Higher Education Leadership and Management Awards, which shows its dedication to actively support your career development.

Extra-curricular activities

We encourage you to join societies such as the Trading and Investment Society and take part in student competitions like the UK Trading Challenge. We are proud that our team of first year Greenwich students won the competition, beating teams from many other universities.



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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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This MSc programme, which has been designed in conjunction with leading risk professionals, aims to meet the growing demand for professionals who are highly skilled in quantitative risk management. Read more

This MSc programme, which has been designed in conjunction with leading risk professionals, aims to meet the growing demand for professionals who are highly skilled in quantitative risk management. Students gain core competencies in risk analysis and have the opportunity to tailor the programme to their own interests and needs through the wide variety of options available.

About this degree

Students will be educated to an advanced level in programming and computing and will gain mathematical, statistical and computational modelling skills. They will have a clear appreciation of different types of risk within the industry, and of the managerial and psychological issues related to risk control.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation (60 credits).

A Postgraduate Diploma will be offered to the students that have completed eight taught modules (120 UCL credits).

A Postgraduate Certificate will be offered to the students that have completed four taught modules (60 UCL credits).

Core modules

  • Financial Data and Statistics (15 credits)
  • Financial Engineering (15 credits)
  • Market Risk, Measures and Portfolio Theory (15 credits)
  • Stochastic Processes for Finance (15 credits)

Optional modules

Students choose 60 credits of optional modules from the following:

  • Applied Computational Finance (15 credits)
  • Compliance, Risk and Regulation (15 credits)
  • Equities, Foreign Exchange and Commodities Modelling (15 credits)
  • Financial Institutions and Markets (15 credits)
  • Machine Learning with Applications in Finance (15 credits)
  • Market Microstructure (15 credits)
  • Networks and Systemic Risk (15 credits)
  • Numerical Analysis for Finance (15 credits)
  • Operational Risk Measurement for Financial Institutions (15 credits)
  • Quantitative Modelling of Operational Risk and Insurance Analytics (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

With permission, a student may substitute up to two optional modules with electives. A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

Students undertake modelling, research and data analysis which takes place over the summer placement. This forms the basis of the 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and project work. Modules are assessed by written papers and/or coursework. The research project is assessed by a written report and (optional) oral examination.

Placement

Students undertake a summer work placement in an industry environment organised by the department.

Further information on modules and degree structure is available on the department website: Financial Risk Management MSc

Careers

Many students have gone on to careers in financial services in the City of London or in their home countries; a number of graduates have proceeded to PhD-level study.

Recent career destinations for this degree

  • Associate Risk Manager, China Development Bank
  • Business Analyst, Credit Suisse
  • Risk Analyst, Unspecified Financial Institution
  • Senior Analyst, Deutsche Bank
  • PhD Computer Science, UCL

Employability

Students acquire mathematical, statistical and computational skills which are highly sought after by the financial industry to assess, quantify, model, simulate and edge risk.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The Bank of England (BoE), the Financial Conduct Authority (FCA) and the financial services industry place great emphasis on raising the level of quantitative analytics used in risk management and compliance. UCL, in collaboration with the BoE/FCA, aims to set a new benchmark in this area, based on training students to become risk professionals who are good scientists in the area of risk management.

UCL Computer Science is recognised as a world leader in teaching and research. Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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