• University of Bristol Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • Birmingham City University Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
King’s College London Featured Masters Courses
Cranfield University Featured Masters Courses
Cass Business School Featured Masters Courses
Coventry University Featured Masters Courses
Ulster University Featured Masters Courses
"financial" AND "statisti…×
0 miles

Masters Degrees (Financial Statistics)

We have 479 Masters Degrees (Financial Statistics)

  • "financial" AND "statistics" ×
  • clear all
Showing 1 to 15 of 479
Order by 
About the MSc programme. The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance. Read more

About the MSc programme

The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance.

It provides high-level training in statistics with applications in finance and econometrics. You will learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages. 

The compulsory courses consolidate your understanding of fundamental ideas in probability and statistics and introduce advanced topics. You can choose options to focus on statistics with applications in social science or in finance and econometrics. 

Graduates of the programme are awarded Graduate Statistician (GradStat) status by the Royal Statistical Society if a specific combination of modules is taken. 

Research Stream

The research stream is similar to the nine-month programme but involves a compulsory dissertation which replaces one unit's worth of optional courses and extends the length of the programme to 12 months.

Graduate destinations

The programme provides excellent opportunities for employment and further study. The programme is also conditionally accredited by the Royal Statistical Society. This means that although an accreditation is given, it will only lead to the award of ‘Graduate Statistician’ if you take a specific combination of modules.

Further information on graduate destinations for this programme



Read less
The Probability and Statistics group (4 Professors, 3 Senior Lecturers and 10 Lecturers) in the School of Mathematics have a long-standing reputation… Read more

The Probability and Statistics group (4 Professors, 3 Senior Lecturers and 10 Lecturers) in the School of Mathematics have a long-standing reputation and experience of offering one year, high quality taught courses in areas of Statistics leading to the degree of MSc.These courses have aimed to offer a thorough professional training which prepare students to embark on statistical careers in a variety of areas. (There is a shortage of statisticians trained to postgraduate level in the UK and the employment prospects for such people remain good.)   They have also provided a very good foundation for further study at PhD level.

Our current MSc programme in Statistics allows students to take one of two different MSc degrees, depending on their interests and career aspirations. There is the main programme in Statistics and one associated pathway in Financial Statistics. Each is built around a common core of five modules and then students study an additional set of three specialist modules to make a total of eight in all. 

Coursework and assessment

There are two teaching semesters of 12 weeks each and approximately 15 weeks of project work. Assessment for the taught part is by exams and coursework. Following the successful completion of the taught part of the programme (worth a total of 120 credits) students are then expected to work on a dissertation from June to September which is worth a further 60 credits, making 180 credits in total. Information on the various topics and projects which will be available for dissertation are provided to the students in May from which they are invited to state their preferences.  

Course unit details

The taught part of the programme is divided into two 12-week semesters, each followed by a two-week period of examinations. This in turn is followed by a period of approximately 12 weeks of research work over the summer which is supervised by a member of the academic staff and ends with submission of the MSc dissertation in September. In the taught part of the course, full-time students attend weekly lectures and support classes for four modules (4 x 15 credits) in each semester. Students are also able to enrol on a part-time basis if they wish. In this case they study over a two year period and only take two modules per semester, with the dissertation being completed at the end of the second year. Details of the programme structure are given below.

Main MSc Statistics

  Semester One:

  • Linear Models & Nonparametric Regression
  • Statistical Computing
  • Statistical Inference
  • Multivariate Statistics

 Semester Two:

  • Generalized Linear Models & Survival Analysis
  • Longitudinal Data Analysis
  • Markov Chain Monte Carlo (MCMC)
  • Design and Analysis of Experiments

 This degree is accredited by the Royal Statistical Society.

Financial Statistics Pathway

This comprises a core of five modules which are common to the main programme, plus three specialist modules in financial statistics.

Semester One:

  • Linear Models & Nonparametric Regression
  • Statistical Computing
  • Statistical Modelling in Finance
  • Extreme Values and Financial Risk

 Semester Two:

  • Generalized Linear Models & Survival Analysis
  • Longitudinal Data Analysis
  • Markov Chain Monte Carlo (MCMC)
  • Time Series Analysis and Financial Forecasting

This degree is also accredited by the Royal Statistical Society.

Accreditation by the Royal Statistical Society (RSS) provides reassurance that our MSc programme produces graduates with the technical skills and subject knowledge required of a statistician. This provides our graduates with a competitive edge in the job market and provides employers with an assurance of quality of our degree.

Dissertation  Following the successful completion of the taught part of the programme (worth a total of 120 credits) students are then expected to work on a dissertation from June to September which is worth a further 60 credits, making 180 credits in total. Information on the various topics and projects which will be available for dissertation are provided to the students in May from which they are invited to state their preferences.  

Facilities

The School of Mathematics is the largest in the UK with an outstanding research reputation andfacilities .

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

These programmes will prepare students for a broad range of statistical careers, particularly in the financial, medical, pharmaceutical and industrial sectors of the economy, but also with local and national government agencies, as well as in other areas. They will also provide an excellent foundation for students wishing to pursue advanced postgraduate research in statistics.



Read less
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. 



Read less
International Master's in Statistics - MSc. https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics. Read more
International Master's in Statistics - MSc: https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics

Overview

The International Master’s in Statistics develops your practical, statistical and computing skills to prepare you for a professional career in statistics or as a solid basis for further research in the area.

The programme has been designed to provide a deep understanding of the modern statistical methods required to model and analyse data. You will benefit from a thorough grounding in the ideas underlying these methods and develop your skills in key areas such as practical data analysis and data modelling.

It has been accredited by the Royal Statistical Society (RSS) and equips aspiring professional statisticians with the skills they need for posts in industry, government, research and teaching. It also enables you to develop a range of transferable skills that are attractive to employers within the public and private sectors.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics.

International Master's in Statistics with Finance - MSc: https://www.kent.ac.uk/courses/postgraduate/164/international-masters-statistics-finance

Overview

This programme, accredited by the Royal Statistical Society (RSS), equips aspiring professional statisticians with the skills they will need for posts in industry, government, research and teaching. It is suitable preparation too for careers in other fields requiring a strong statistical background.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics with Finance.

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. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Research areas

Biometry and ecological statistics
Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

Bayesian statistics
Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
Bioinformatics, statistical genetics and medical statistics
Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

Nonparametric statistics
Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

Professional recognition

The taught programmes in Statistics and Statistics with Finance provide exemption from the professional examinations of the Royal Statistical Society and qualification for Graduate Statistician status.

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

Read less
Looking for high-quality training in statistics for research or for professional life? If so, consider KU Leuven's MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Read more

Looking for high-quality training in statistics for research or for professional life? If so, consider KU Leuven's MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Choose from a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile.

What is the Master of Statistics all about?

This master’s programme is offered by the Leuven Statistics Research Centre (LStat) of KU Leuven. It is accredited by the Royal Statistical Society. You’ll be trained intensively in both the theoretical and practical aspects of statistics. The programme will also help you develop a problem-solving attitude and teach you how to apply statistical methodology.

This is an initial Master's programme and can be followed on a full-time or part-time basis.

Structure

The 120-ECTS programme consists of a common core curriculum (one semester), option-specific courses (one semester), elective courses (one semester), and a master’s thesis.

  • Common core curriculum (30 ECTS): these course are compulsory for every student.
  • Option-specific courses (min. 32 ECTS). Within your selected option, you choose courses worth a total of minimum 32 ECTS.
  • Elective courses (30 ECTS)

To tailor the programme to your needs and interests, you choose one of the following options:

  • Biometrics;
  • Social, Behavioural, and Educational Statistics;
  • Business Statistics;
  • Industrial Statistics;
  • General Statistical Methodology;
  • Official Statistics;
  • All-round Statistics.

Department

LStat hosts international experts and is a stimulating environment for multidisciplinary statistical research. LStat is a privileged meeting space for statistics researchers from a range of domains:

  • Biostatistics;
  • Social, Behavioural and Educational Statistics;
  • Business and Industrial Statistics;
  • Statistical Methodology.

Objectives

The master of Statistics:

KNOWLEDGE AND INSIGHT

  • possesses thorough knowledge of and insight in the field of Statistics
  • has a perspective on the research and consulting aspects of one or more statistical fields within at least one of the following: biometry, industrial statistics, social behavioral and educational statistics, business statistics, statistical methodology, official statistics.
  • understands similarities and differences between different statistical methodology and practice across different sub-fields of statistics.

APPLYING KNOWLEDGE AND INSIGHT

  • has the competences and the insight to take the following steps in their own scientific research within a research team
  • can handle scientific quantitative research questions in the application area, independently, effectively, creatively, and correctly using state-of-the-art design and analysis methodology and software.
  • has the skills and the habit to assess data quality and integrity.
  • is aware of the ethical, moral, legal, policy making, and privacy context of statistics and shows conduct accordingly.

DEVELOPING AN OPINION

  • appreciates the international nature of the field of statistical science.
  • is aware of the societal relevance of statistics.
  • can critically appraise methodology and challenge proposals for reported results of data analysis.

COMMUNICATION

  • can work in an intercultural, and international team, and understands the need and importance of working in a multidisciplinary team.
  • is an effective written and oral communicator, as well as an effective negotiator, both within their own field as well as towards other disciplines in the context of multidisciplinary projects.
  • is aware of the common stakeholders and the need for assertive and empathic interaction with them.

LEARNING SKILLS

  • is capable of acquiring new knowledge.

DEPENDING ON THE CHOSEN OPTION, THE STUDENT MASTERS FOLLOWING ADDITIONAL LEARNING OUTCOMES:

  • the master can act as a statistical consultant to subject-matter scientists and practitioners or/and as a collaborative researcher in an area of specialisation.

Career perspectives

As statistician, you'll be recruited by industry, banks or government institutions. You may find yourself designing clinical trials and supporting the biomedical sector, coaching research for new medicines, setting up and analysing psychological tests and surveys, performing financial risk analyses, statistically managing R&D projects and quality controls, or developing statistical software. And don't forget the academic world. The applications of statistics are very diverse, just like your professional options. 



Read less
MSc Risk Management & Financial Engineering. is a highly quantitative programme tailored to high calibre and technically-minded graduates wanting a deeper, more analytical study of risk management and financial engineering than is found in general finance programmes. Read more

MSc Risk Management & Financial Engineering is a highly quantitative programme tailored to high calibre and technically-minded graduates wanting a deeper, more analytical study of risk management and financial engineering than is found in general finance programmes.

The programme is accredited by the Professional Risk Managers’ International Association (PRMIA) and the School offers students on this programme the opportunity to attend PRMIA events, have access to its resources and receive considerable discounts on PRMIA exams.

The programme

In September you will study five foundation modules to introduce the tools of modern finance and enhance your career development skills. These include:

• Markets and Securities

• Financial Modelling

• Application of Matlab to Finance

• Data Structures and Algorithms using Python

• The Finance Industry

You’ll take eight core modules which are the backbone of our programme, providing you with a solid knowledge base in each subject area. Each module builds on previous experience while introducing new and challenging disciplines. These include:

• Empirical Finance: Methods and Applications

• Financial Engineering

• Financial Statistics

• Investments and Portfolio Management

• Risk Management and Valuation

• Stochastic Calculus

You will also receive training in Visual Basic for Applications (VBA), choose from a variety of electives and undertake a final project. The selection of electives include:

• Advanced Options Theory

• Credit Risk

• Advanced Financial Statistics

• Enterprise Risk Management

• Fixed Income Securities

• International Elective: Macro and Finance for Practitioners

• International Finance

• Insurance

• Structured Credit and Equity Products

• Private Equity and Venture Capital

• Wealth Management and Alternative Investments

• Topics in FinTech Innovation



Read less
This Masters in Advanced Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. Read more

This Masters in Advanced Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.

Why this programme

  • The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
  • Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
  • Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
  • You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
  • You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
  • You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
  • Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Courses include (twelve chosen)

  • Advanced Bayesian methods
  • Advanced data analysis
  • Bayesian statistics
  • Biostatistics
  • Computational inference
  • Data analysis
  • Data management and analytics using SAS
  • Design of experiments
  • Environmental statistics
  • Flexible regression
  • Financial statistics
  • Functional data analysis
  • Generalised linear models
  • Introduction to R programming
  • Linear mixed models
  • Machine learning
  • Multivariate methods
  • Principles of probability and statistics
  • Professional skills
  • Spatial statistics
  • Statistical genetics
  • Stochastic processes
  • Time series
  • Statistics project and dissertation.

Summer (May – August)

Statistics project and dissertation (60) - assessed by a dissertation

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.



Read less
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. Read more

This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.

Why this programme

  • The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
  • Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
  • Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
  • You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
  • You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
  • You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
  • Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses (compulsory)

  • Bayesian statistics
  • Generalised linear models 
  • Introduction to R programming 
  • Probability 1
  • Regression models 
  • Statistical inference 1
  • Statistics project and dissertation.

Optional courses (six chosen, but at least one course must be from Group 1)

Group 1

  • Data analysis 
  • Professional skills.

Group 2

  • Biostatistics 
  • Computational inference 
  • Data management and analytics using SAS 
  • Design of experiments 
  • Environmental statistics 
  • Financial statistics 
  • Functional data analysis 
  • Machine learning
  • Multivariate methods 
  • Spatial statistics 
  • Statistical genetics 
  • Stochastic processes 
  • Time series.

1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director.

Summer (May – August)

Statistics project and dissertation (60) - assessed by a dissertation.

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.



Read less
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.

Read less
This programme is now closed but you may want to consider other courses such as the . Mathematics MSc. . . Read more

This programme is now closed but you may want to consider other courses such as the Mathematics MSc

The Financial Mathematics MSc programme enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management. Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.

  • A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
  • In-depth coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.
  • Unrivalled facilities in central London with City of London's financial centre close by, and with access to live market data in our Bloomberg Data Laboratory.
  • Flexible study programme offering the opportunity to study part-time.
  • King’s is a member of the London Graduate School in Mathematical Finance which provides advanced courses for students who wish to push beyond the MSc core syllabus.
  • Lecturers on the programme have extensive experience in consulting and work for financial companies and institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.

Description

Financial Mathematics studies problems of optimal investment and risk management, and this course covers a diverse range of topics, from classical options pricing to post-crisis investment and risk management

Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.

Our Financial Mathematics MSc course is a unique study pathway that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets. You will explore probability theories, risk neutral valuation, stochastic analysis as well as interest rate and credit risk modules. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics.

The Financial Mathematics MSc programme offers you the choice to study either full or part-time and is made up of optional and required modules. You must take modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your programme will take two years to complete, you will study the required modules in the first year, and a further selection of required and optional modules including the 60-credit financial mathematics report module in your second year.

Bloomberg terminal laboratory

King’s is one of only a few academic departments in the UK that offers full access to Bloomberg terminals. These terminals will provide you access to live financial data. They are heavily used within the financial industry, and the data they provide is critical in assisting traders in making investment decisions and for risk managers monitoring investment probabilities. We have 13 Bloomberg terminals available for exclusive use by the Financial Mathematics MSc programme.

You will use the Bloomberg terminals to:

  • Gain an intuition for the conduct of real financial markets
  • Develop potential investment strategies
  • Experience using real-world investment and risk management software and obtain data for research.

The skills you will learn from using the terminals are highly valued by employers. King’s is part of a strong network of financial mathematics in London with connections both in academia and in the industry.

We are also members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London, which includes Birkbeck, London School of Economics and Political Sciences, University College London and many others.

Course purpose

This programme is suitable for students or professionals with a strong mathematical background. It covers the principles and techniques of quantitative finance to prepare students for advanced work in the financial sector or research in mathematical finance.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Average per week: Three hours for 11 weeks per each 15 credit module.

You are expected to spend approximately 10 hours of effort for each credit (so for a typical module of 15 credits this means 150 hours of effort).

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations.  

Career destinations

Our graduates are highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms, and trading companies. Recent employers of our graduates include, Capital Investment, Credit Suisse, European Bank for Reconstruction & Development, Fitch Ratings, HSBC and Morgan & Stanley. Some graduates have pursued research degrees in financial mathematics.

Sign up for more information. Email now

Have a question about applying to King’s? Email now



Read less
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.

Read less
What is the 'Master of Financial and Actuarial Engineering' all about?. The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. Read more

What is the 'Master of Financial and Actuarial Engineering' all about?

The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. It is an intensive, advanced, one-year programme for university graduates interested in a career in risk management, financial and/or actuarial engineering within financial institutions. The discipline focuses on the application of quantitative methods to problems involving risk or uncertainty. You will gain an understanding of current and future problems and solutions in insurance and banking and be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques.

The programme provides advanced insights into the actuarial aspects of life insurance, general insurance and risk theory as well as financial mathematics and the inter-relationship and integration of actuarial sciences and finance. The programme draws on over sixty years of experience and international recognition. The research team for risk theory, finance and statistics has a strong research profile and is ranked among the world top in terms of actuarial research productivity. The programme is jointly offered by the Faculty of Business and Economics and the Faculty of Science at KU Leuven, in collaboration with Université Catholique de Louvain.

Objectives

The main goal of the programme is to provide the students with an sound knowledge of finance and actuarial science. They develop the capabilities to understand current and future problems and solutions in the actuarial and financial context. They will be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial master at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE), and the international actuarial professional body (IAA).

At the end of the programme students will:

  • be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques;
  • have advanced insights in the actuarial aspects of life insurance, general insurance, risk theory as well as in the interrelationship and integration of actuarial sciences and financial mathematics;
  • have a strong background in quantitative methods and financial models and will be able to select and apply those methods to problems that involve risk or uncertainty;
  • dispose of enhanced analytical, critical, conceptual, problem solving and decision making capabilities and skills;
  • have the ability to integrate actuarial, statistical and financial modelling techniques in order to arrive at effective solutions to problems occurring in insurance and financial practice;
  • be able to conduct research, not only in an academic context, but also in view of a professional career;
  • be able to stay up-to-date with the advances in actuarial sciences by following up and familiarizing with new insights, developments, results and methods;
  • be able to communicate and report adequately on financial and actuarial topics.

Career perspectives

The programme addresses the rapidly-changing needs resulting from the accelerating globalisation of the banking and insurance sector. As such, it provides a sound basis for a career in various areas of risk management, financial and actuarial engineering and insurance. Most graduates find employment in insurance companies, whose financial stability depends on actuarial calculations (e.g. premiums, provisions, capital requirements, reinsurance policy).

As an expert in the field of risk and uncertainty, you can also play an important role in banking and finance. The increasing convergence between the insurance and financial markets as well as the use of mathematically based instruments, such as options and futures, offers excellent career prospects. Graduates are well placed to find employment in banks, pension funds, reinsurance companies, consulting and audit companies.

Some graduates go to work in government, for instance in social security or economic affairs departments. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial Master's programme at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE).



Read less
These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS). Read more
These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS).

Research interests are diverse and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics.

Visit the website https://www.kent.ac.uk/courses/postgraduate/169/statistics

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. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Course structure

The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects.

There are strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad.

The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.

Research areas

- Biometry and ecological statistics

Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

- Bayesian statistics

Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.

- Bioinformatics, statistical genetics and medical statistics

Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

- Nonparametric statistics

Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

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

Read less
This programme provides advanced study of accounting and financial management. It enables graduates of accounting and finance, as well as professionally qualified accountants, to take stock of what they have learnt, and helps them extend their academic training. Read more

This programme provides advanced study of accounting and financial management. It enables graduates of accounting and finance, as well as professionally qualified accountants, to take stock of what they have learnt, and helps them extend their academic training. You will gain the theoretical framework and skills needed to cope with the increasingly complex and global nature of the field.

Many MSc graduates have progressed to senior positions in the accounting profession and industry, including investment banking. Others are now faculty members in universities in the UK and throughout the world.

Course Structure

You will study a range of modules as part of your course, some examples of which are listed below.

Core

Optional

Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.

ACCA Pathway

This course has been designated an ACCA Academic Professional Partnership Programme by the Association of Chartered Certified Accountants (ACCA).The globally-recognised ACCA qualification has been developed with employers, and provides you with the skills and knowledge to be work-ready, wherever you are in the world.

Provided you have the right qualifications on entry to the MSc, you can follow an ACCA pathway through the programme which provides a recognised level of tuition for two of the ACCA’s Professional-level papers: P2 (Strategic Business Reporting) and P4 (Advanced Financial Management).

Who is eligible?

To be accepted on to this ACCA pathway, you will need to have already passed ACCA’s Fundamentals exams F1–F9, or to have exemptions from the Fundamentals level. This is in addition to meeting the entry requirements for this course.

Pathway modules

On this pathway you have the same module choice as all other Accounting and Financial Management MSc students, except that in the second term you must take the following modules. In the summer term you have a free choice of dissertation topic.

  • Advanced Corporate Finance
  • Financial Reporting for Complex Entities

CFA Qualification

‌The Chartered Financial Analyst (CFA) Program is the leading professional qualification in the global investment industry. As a CFA Affiliated University, our MSc Finance and MSc Accounting and Financial Management programmes are recognised for their strong connection to professional practice and ability to prepare students for the CFA exams. Only a handful of UK business schools have been granted this status by the CFA.

These programmes include a special CFA dissertation aimed at suitably qualified students wishing to sit the June CFA Level I exam and gain this prestigious qualification. You will benefit from five weeks of professional teaching by specialist CFA tutors from Fitch Learning covering the entire CFA Level I syllabus, supplemented by online support, key resources and real-time feedback via the Fitch Learning CFA training portal. 

On completion of the module, you will sit a 3-hour mock Level I examination and the results contribute 42% to your overall dissertation mark. The CFA dissertation is available at no charge to all MSc Finance and MSc Accounting and Financial Management students who meet minimum performance criteria during the first term. CFA scholarships are also available to help you gain CFA Level I, and details are automatically sent to eligible students during Summer term.

Assessment Methods

Most modules use more than one type of assessment including formal exams (normally January and March/April), individual coursework essays and assignments, group-based reports and case study analysis. To pass, you'll need an overall average of at least 50% with no more than three modules in the 40%–49% mark range (following resit exams). A minimum pass mark of 50% in the dissertation is also required for the award of the MSc degree.

Careers

For many students, the desire to boost their career prospects and move more quickly into senior roles is a key reason for acquiring a Masters degree. That's why we integrate careers support into our MSc programmes, and offer a range of facilities to help you in your career development and job search process.

Like all of the School’s Masters students, you will have access to guidance and support from the LUMS careers team. But to give you extra industry-specific job-hunting skills, we have partnered up with a financial markets specialist who has worked for several leading investment banks and also financial technology institutions. As a financial careers coach still working in the financial markets, his role is to make you aware of many different opportunities that exist within the sector, giving you a clear picture of the particular skills required – and, crucially, an insider view on what employers will be looking for.

To help you differentiate yourself in a fiercely competitive market, he provides guidance on writing CVs and cover letters for the financial market, interview skills, and performing well at assessment centres.



Read less
Focusing on international finance, this course has particular emphasis on multinational corporate finance and international banking. Read more

Why take this course?

Focusing on international finance, this course has particular emphasis on multinational corporate finance and international banking. It is particularly suited to graduates looking to pursue careers in corporate finance in large financial and non-financial companies, corporate financial services in banking and investment banking, and central banking. On this course you will gain in-depth knowledge of corporate finance, financial markets and institutions, financial investments, and international banking.

What will I experience?

You will be taught by academically qualified and enthusiastic staff with research and consultancy experience and links to industry.

Access to extensive financial databases including Bloomberg, DataStream and Bank Scope is available along with excellent library facilities and with 24-hour internet access to leading databases.

On successful completion of your Bloomberg training you will be awarded the Bloomberg Certificate, an essential qualification for all city professionals.

What opportunities might it lead to?

Our graduates in finance and financial economics have gained employment in a wide range of roles and industrial sectors, including investment analysis, securities trading, banking and investment banking, accountancy and financial management.

The University of Portsmouth is recognised as a centre of excellence for finance teaching by the Chartered Institute for Securities and Investment (CISI). You will be eligible for student membership and this provides access to a range of networking and career opportunities. During the programme you will be prepared for CISI's Integrity Matters and Corporate Finance Technical Foundation examinations. Successfully completing these examinations allows you to achieve an industry-recognised professional qualification alongside your degree.

Module Details

You will study the following four units and complete your studies with a dissertation:

Financial Econometrics:

Econometrics is a core tool used in the study of finance. This unit gives you a strong practical understanding of the econometric tools you will be using throughout your study of finance. The teaching philosophy of this unit is to take an applied approach, to provide you with a strong intuitive understanding of a range of econometric techniques and their applications to a wide variety of problem-solving situations in finance. You will gain extensive experience with econometric and statistical packages such as Eviews and SPSS. Your work in this unit is supported by lectures, tutorials and workshops. Many of the econometric techniques covered in this unit are used and applied in other units in the course, to help you gain a good understanding of how to apply them successfully to the theory and practice of financial management.

Multinational Corporate Financial Management:

In this unit you will study international finance from the corporate perspective. The first half of the unit focuses on the primary financial decisions of the firm, working capital management, advanced capital budgeting techniques, the strategic analysis of capital investment decisions, capital structure theories, and the financing and dividend decisions. Corporate financial management in a multinational context introduces many new problems, challenges and opportunities. In the second half of the unit the focus will be on corporate financial management from the global and international perspective. Topics you will study include the measurement and management of currency and interest rate risks, taxation, regulatory and political risks, mergers and acquisitions, and the international capital investment, financing and dividend decisions.

International Money and Capital Markets:

This unit covers international finance from the securities and markets perspective, and complements the unit on Multinational Corporate Financial Management. You will study the currency and Eurocurrency markets, the international equity, fixed income and derivatives markets, financial institutions, financial regulation, and the models used to price the financial securities trading in these markets. The topics in the International Money and Capital Markets unit are developed with a strong emphasis on their applications to multinational corporate financial management.

International Banking:

In this unit you will study commercial and investment banking at national, international and global levels. Topics covered include, money and the banking system, banking structures and regulations, risk management in banking, scale and scope economies and the measurement of competition in banking, determinants of bank crashes and failures, global banking and regulation, global financial markets and instruments, and derivatives related financial crises.

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. You will be assigned a Dissertation supervisor who will provide feedback, guidance and support on an individual basis.

Programme Assessment

Teaching methods include lectures, seminars, computer-based workshops, invited speakers and live case studies. Student participation is encouraged and classes are challenging but informal and friendly, which promotes discussion and debate. The course tutors are available to support your studies and you will also have a personal tutor to provide help and guidance.

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 will 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, banking and investment banking in financial institutions. Alternatively, this course is also beneficial if you are aiming for careers in corporate financial management in large non-financial companies.

Roles our graduates have taken on include:

Commercial Finance Analyst
Bid Pricing Executive
Finance Internship
Graduate Econometrician
Hedge Fund Manager

Read less

Show 10 15 30 per page



Cookie Policy    X