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Masters Degrees (Financial Statistics)

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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.

There are three compulsory courses. Statistical Inference: Principles, Methods and Computation will provide comprehensive coverage of fundamental aspects in probability and statistical methods and principles, while Time Series will provide solid training in statistical time series analysis. Modern data analytics, together with topics such as financial time series, asset pricing and portfolio choice, and some aspects of continuous-time finance will be provided in the course Financial Statistics. You will also learn to code in the R statistical computing environment.

Students on the taught master’s programme will take optional courses to the value of two units, including selected options from the Department of Finance. Those on the research track will substitute one unit with a dissertation, making the research track a 12 month programme.

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

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’ when students have taken a specific combination of modules.

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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/

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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. 



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Our MSc in Operational Research, Applied Statistics and Financial Risk aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts. Read more
Our MSc in Operational Research, Applied Statistics and Financial Risk aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.

This course is ideal training for those who wish to study, in greater depth, risk models, particularly for application to financial markets but also to other sectors. 

You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.

Distinctive features:

• This course will give you the opportunity to study risk models in greater depth, particularly those models used in financial markets.

• The skills you will develop are highly transferable for use within industry, business and the public sector.

• The School of Mathematics has excellent links with a number of organisations who employ Operational Researchers, Statisticians and Financial / Risk Modellers

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

This full-time one year course includes a three month period working with a company on a real problem that they have identified.
You will take 110 credits of core modules and 10 credits of optional modules in the taught component of the programme. This is followed by a 60 credit summer project.

As a part-time student you will typically need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks each year. You will usually complete the taught component of the programme over two years with up to a further year to complete the project dissertation.

The programme will prepare you with essential techniques in Operational Research and Applied Statistics, and then allow you to select from optional courses in topics such as supply chain modelling, healthcare, and Statistics and Operational Research for Government (delivered with input from the Office for National Statistics and Welsh Assembly Government).

You will have the opportunity to put the theory into practice, through case studies and project work in the ‘real-world’. An important feature of the MSc is the project dissertation, allowing you to work with an external company.


For a list of modules for the FULL-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research,-applied-statistics-and-financial-risk-msc

For a list of the modules for the PART-TIME route, please see website:

http://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/operational-research,-applied-statistics-and-financial-risk-msc-part-time

Teaching

The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.

You will apply the skills you develop through presentations, research assignments, case studies and the summer project.

Assessment

During the course your development will primarily be monitored via tutorial sheets, with other means where appropriate.

Written examinations, often in combination with an in-course element forms overall assessment.

Career Prospects

This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.

Our School of Mathematics has well established and strong links with many employers of Operational Researchers and Applied Statisticians, who regularly offer projects and/or recruit our students.

Placements

An important feature of the MSc programme is to undertake a project dissertation. This allows you to apply the methods and skills acquired in the taught programme in a real-world setting, and will typically involve working with a company on a project of importance. Some of these placements will be abroad given our strong international connections. Cardiff School of Mathematics already has well established links with many organisations that employ Operational Researchers, Statisticians and Financial Modellers including Admiral, Nationwide, ONS, Lloyds Banking Group and Ernst and Young amongst others.

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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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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).



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This programme combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics. Read more

This programme combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics.

The MSc in Statistics with Applications to Finance is a focused degree programme which enables you to both broaden and deepen your understanding of statistics and financial applications. As well as the statistics expertise within the School of Mathematics, the MSc also draws on experience in Financial Mathematics, a joint venture between the School of Mathematics and Leeds University Business School.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Royal Statistical Society Accreditation

On graduation you will be eligible for the Graduate Statistician (GradStat) status and after five years’ experience this can then be converted into the professional status of Chartered Statistician (CStat).

Being a chartered statistician provides employers, contractors and collaborators of statisticians a level of assurance that you are at the forefront of your field and is a mark of accomplishment to society.

Course content

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation. Within each semester you will take three compulsory modules. However, you can tailor the course to meet your individual needs through selection of a further module in each semester from a variety of options.

In the first semester you’ll be introduced to statistical computing with an emphasis on sampling-based methods including Markov Chain Monte Carlo. You’ll also explore financial investments such as stock and shares and develop the necessary probabilistic tools to evaluate risks within the market.

In semester two you’ll look at risk assessment in detail, gaining comprehensive knowledge of mathematical and practical approaches to financial risk management. Avoiding the disastrous consequences of badly managed risk requires detailed mathematical knowledge of how to quantify financial risk. You’ll also learn about pricing financial assets and forecasting future values within a time series.

Your third semester will be taken up by a dissertation in statistics. This will consist of a three-month research project undertaken in the summer on a topic chosen in conjunction with project supervisors, culminating in a dissertation on that project.

Course structure

Compulsory modules

  • Stochastic Financial Modelling 15 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Computations in Finance 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Statistical Computing 15 credits
  • Dissertation in Statistics 60 credits

Optional modules

  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Multivariate Analysis 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Models in Actuarial Science 15 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Independent Learning and Skills Project 15 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Statistics with Applications to Finance MSc in the course catalogue

Learning and teaching

This programme is taught jointly between the School of Mathematics and the Leeds University Business School. You will study a mixture of modules taught by specialists in each school though a combination of lectures and small group workshops.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organisations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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To be admitted to the Second Cycle Degree (MSc) Programme in Economics and Finance students must possess an appropriate academic preparation and meet specific… Read more
To be admitted to the Second Cycle Degree (MSc) Programme in Economics and Finance students must possess an appropriate academic preparation and meet specific curricular requirements, represented by a First Cycle Degree (or other qualification awarded abroad and determining eligibility) and 60 university credits (CFUs) related to specific Educational Sector Codes (in Italian Settori Scientifico Disciplinari, abbreviated as “SSD”) in the following disciplines: management, economics, mathematics, statistics, law.

Unlimited entry, with assessment of minimum curricular requirements.

Quotas (i.e. reserved places) for non-EU students residing abroad: 66 places, 50 of which reserved for Chinese students residing in China as part of the Marco Polo Programme.

Course description

Ca’ Foscari University is now offering a curriculum completely taught in English (LM-77 - Scienze economico-aziendali - Management) in the MSc (Master of Science/Laurea Magistrale) degree in "Economia e Finanza – Economics and Finance".

This Master's Degree Programme specialising in finance involves two years of full-time study. It aims to prepare experts with proficiency in dealing with the main issues related to financial markets, brokerage management, financial investment management and financial risk measurement and management, financial consultancy and insurance, supplementary allowance and retirement funds management, internal organisation processes and administrative management of banks and financial institutions in general.

The Master's Degree Programme also offers the opportunity of participating in adouble degree programme in cooperation with the University Aix Marseille (France) and of obtaining a Double Master’s Degree in Economics, Econometrics and Finance (MEEF), for which scholarships are available. The programme draws upon a balanced blend of economic and mathematical methods to form specialists capable of contributing to the sustainable development of society and of providing prompt responses to economic crises. The Double Master’s Degree Programme has obtained official MOY (Mediterranean Office for Youth) recognition.

The two universities aim to provide a thorough preparation for students wishing to work in financial institutions where they will be required to solve quantitative problems in economic and financial fields.

Curricula available

1. Curriculum Economia e Finanza (taught in Italian)
Contact Professor: Prof. Monica Billio (e-mail: )
This curriculum trains second cycle graduates, equipping them for the main areas of financial intermediary management and to thoroughly and skillfully tackle specific issues such as the measurement and management of financial risks.

2. Curriculum Economics and Finance (taught completely in English)
Contact Professor: Prof. Antonella Basso (e-mail: )
This curriculum uses a blend of theoretical and practice-oriented training to provide international students with the knowledge and skills required by financial institutions and markets. The programme covers a wide range of contents, with particular emphasis on: risk measurement, financial markets, financial investment management, financial consultancy and insurance.

Learning outcomes

This Master Degree Programme aims to train experts with proficiency in dealing with the main financial issues related to financial markets, brokerage management, financial investment management and financial risk measurement and management, financial consultancy and insurance, supplementary allowance and retirement funds management, internal organisation processes and administrative management of banks and financial institutions in general.

Employment profiles

Second cycle graduates will acquire the necessary knowledge to access financial institutions (trade banks, savings management companies, insurance companies) and to operate professionally as risk managers and controllers, analysts and consultants in financial fields, as well as insurance and reinsurance brokers.

Attendance: Open attendance

Examination assessment and graduation

The educational activities include lectures, workshops and internships (also abroad) to allow students to acquire wide-ranging skills that are readily transferable into the world of work. The skills and knowledge acquired by students will be assessed throughout the programme by means of written and oral examinations.

The final master's thesis

The programme is completed with a final master's thesis requiring students to work intensively on a topic of their choice with the support of regular meetings with their supervisor. Students will defend their master's thesis, which must be original and backed by exhaustive documentation and scientific investigation, before a committee of professors and experts.

Admission to further studies: Specialist Master’s Programmes (1st and 2nd level) and Research Doctorates

Applying to the programme

To enter the programme applicants need to have the equivalent to an Italian three-year undergraduate degree (Laurea) such as a BSc (Bachelor of Science) degree as well as the necessary academic preparation.

When and how to apply

Classes start in September. You are advised to apply as early as possible. Applications are to be made directly to Ca’ Foscari University. For full details go to How to apply, or contact Prof. Antonella Basso ().

Subject area:

This curriculum provides international students with the knowklege and the skills required by financial institutions and markets, through a blend of theoretical and practice-oriented training. The programme covers a wide range of contents, with particular emphasys on: risk measurement, financial markets, financial investments management, financial consultancy and insurance.

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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/

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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

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The ever-changing nature of financial markets, financial institutions and business firms, has made it increasingly important for finance experts including… Read more
The ever-changing nature of financial markets, financial institutions and business firms, has made it increasingly important for finance experts including financial managers in multinational companies, investment analysts in securities firms, lending officers in banks and other financial institutions and traders in capital markets and dealing rooms - to have a clear understanding of the theory and practice relating to financial market operations and corporate financial strategy. Familiarity with the most recent developments in risk appraisal, portfolio analysis, the engineering of synthetic products, modelling techniques, financial analysis and valuation are essential requirements for all those involved directly in financial activities or who wish to gain a deeper understanding of this important area of business management.

The MSc and MA Finance programmes at Bangor offer you a unique opportunity to develop an appreciation of the causes and significance of current developments in the financial and corporate sectors, and to study advanced theory and practice relating to financial markets and the financial management of business firms.

Issues you will tackle as part of your MSc or MA Finance degree programme include:

What are the relationships between risk and return governing investment in company shares and other derivative instruments?
Can market risk be priced accurately?
Can credit risk be priced accurately?
Which factors are most likely to influence the evaluation and implementation of international investment projects?
How can we calculate a suitable cost of capital to appraise the capital investment decision?
How should institutional investors go about constructing a portfolio of assets to maximise returns on behalf of investors?
How can we assess the investment performance of pension funds, insurance companies and unit trusts?
How are futures, options, derivatives and swaps used to manage balance sheet and off-balance sheet risks?
What are the key principles of international portfolio management in a world of fast and unpredictable movements in exchange rates?
How can spreadsheets be used to develop financial models, and what techniques are required to obtain computational solutions to finance problems?
What are the main features of financial engineering, and how can one asset be transformed into another?
What are the design features of synthetic assets, and how do they help us to develop strategies for hedging risks?
How can financial forecasts be used in business valuation, and what techniques should be used to improve trend analysis and interfirm comparison?

With these needs in mind, the MSc and MA Finance programmes at Bangor are designed to develop participants' existing skills through a scheme of specialist advanced study. An important objective is to provide participants with relevant analytical training so that they are familiar with the latest theoretical and practical developments relating to corporate finance and the capital markets. These programmes provide a coherent theoretical framework for the various subject areas, but the emphasis throughout is on advanced practical application of financial techniques in a real-world setting.

The availability of parallel MSc and MA degrees in Finance allows you to choose between registering for a more technical MSc degree (including a compulsory element in Financial Econometrics), and a less technical MA degree (for which Financial Econometrics is optional). The MSc degree may be more suitable for applicants with some previous background in mathematics, statistics or econometrics, while the MA degree is more suitable for applicants who prefer to adopt a predominantly non-quantitative approach to their studies. However, both degrees include a compulsory module in Research Methods, which includes coverage of both quantitative and non-quantitative research techniques. Provided you are registered for the correct modules for your chosen degree, it is normally possible to transfer between the MSc and MA degrees during the first few weeks following your initial registration.
ESRC Recognition

The MA Finance is recognised by the Economic and Social Research Council (ESRC) as the first year of a 1+3 PhD training programme.
Course Structure

January intake: Taught modules are undertaken in the period of January to June and September to January and will involve the study of 120 credits. The dissertation (or equivalent) is valued at 60 credits and is undertaken during the period of June to September.

September intake: Taught modules are undertaken in the period of September to June and will involve the study of 120 credits. The dissertation (or equivalent) is valued at 60 credits and is undertaken during the period of June to September.

Compulsory modules:

Research Methods

International Financial Markets

Corporate Risk Management

Financial Crises and Bank Regulation

Investment Strategy and Portfolio Management

International Financial Management

Optional modules (choose 2):

Financial Modelling

Islamic Finance

Accounting Theory

Advanced Financial Reporting and Regulation

Financial Institutions Strategic Management

Financial Analysis

Islamic Banking

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When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Read more
When you study mathematics and statistics at the University of Helsinki, some of the best mathematicians and statisticians in the world will be your instructors. Studies in this Master’s programme will give you a solid basis for maths and statistics applications. Graduates of this Master’s programme find employment as researchers, teachers, and in demanding expert posts in the public and private sectors in Finland and abroad.

The Master’s programme in mathematics and statistics is based on top research. The teaching within the sub-programmes at the University of Helsinki follows a high standard and is highly valued, not just within Finnish academia but in global university rankings. Upon graduating from this Master’s programme, you will:
-Be an expert in the methods of mathematics or statistics.
-Have mastered the basics of another scientific discipline.
-Be able to apply scientific knowledge and methods.
-Be able to follow developments in mathematics and statistics.
-Know how to think critically, argue a point, and solve problems.
-Have excellent interaction skills and be assertive and creative.
-Understand the principles of ethical and sustainable development.
-Be well prepared to work as an expert and developer in your field.
-Be prepared for scientific postgraduate studies.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees.

Programme Contents

The Master’s programme consists of courses in mathematics, applied mathematics, and statistics. The courses include group and lecture instruction, exercises, literature, and workshops. Most courses also include exams or project assignments. In addition, you can complete some courses independently, by taking literature-based exams. The instructors in this programme have received prizes for their high standard of teaching. The teaching methods used in the subjects in this Master's programme have been widely recognised in the media.

Selection of the Major

The specialisation subjects within the programme are:
-Analysis
-Mathematical physics and stocastics
-Applied analysis
-Computational science
-Mathematical logic
-Mathematical modelling
-Insurance and financial mathematics
-Algebra and topology
-Statistics
-European Master in Official Statistics, EMOS (based on the statistics education in the Faculty of Social Sciences).

You will select your specialisation subject during your first year.

Programme Structure

The Master’s programme comprises 120 credits, which you can complete in two years. The degree in mathematics includes:
-85 credits of advanced courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

The degree in statistics includes:
-25 credits of advanced mathematics courses.
-60 credits of advanced statistics courses, including the Master’s thesis (Pro gradu, 30 credits).
-35 credits of other courses e.g. more advanced courses in statistics, or intermediate courses in some other subject, in which you included basic courses in your BSc degree, or, module/s from other university programmes.
-Working-life orientation and career planning.
-Personal study plan.

The European Master in Official Statistics sub-programme includes:
-85 credits of advanced courses in statistics or mathematics, including the Master’s thesis (Pro gradu, 30 credits) and a traineeship.
-35 credits of other courses from your own or other programmes.
-Working-life orientation and career planning.
-Personal study plan.

Career Prospects

Graduates of the Master’s programme can find employment outside the university or continue with one of the doctoral programmes in mathematics and statistics. The Master’s programme will give you excellent capabilities for work in the public or private sector as an expert in mathematics and statistics, skills that are very sought after in the job market both in Finland and abroad. The banking, investment, and insurance fields, for instance, value mathematicians and statisticians very highly internationally. Many of our graduates work in research and development or as teachers in various educational institutions. Graduates from this programme have excellent chances to find employment corresponding to their education.

Internationalization

The international nature of the programme is implemented in many ways:
-Research within the disciplines of the degree programme is of high international standard and is highly regarded.
-Teaching staff and research collaboration within the programme are international.
-The atmosphere of the programme is international, several international students are admitted each year.
-Theses and projects may be completed within international projects.
-There are opportunities for a student exchange period in many foreign universities.

Research Focus

The research focus within the disciplines in the degree programme are e.g.
-Geometric analysis and measurement theory
-Analysis in metric spaces
-Partial differential equations
-Functional analysis
-Harmonic analysis
-Mathematical physics
-Stochastics
-Inversion problems
-Mathematical logic and set theory
-Biomathematics
-Time series analysis
-Biometry
-Econometry
-Psychometrics
-Social statistics

The programme is part of the Analyysin ja dynamiikan (Analysis and dynamics) and the Inversio-ongelmien (Inversion problems) centres of excellence.

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The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics. Read more

The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.

The programme combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations - from financial mathematics to statistical bioinformatics; from shape analysis to risk management. You’ll also develop your understanding of research methods in statistics from writing styles to programming skills, preparing you for a wide range of careers in different sectors – and then apply them to a substantial research project of your own.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Royal statistical Society Accreditation

On graduation you will be eligible for the Graduate Statistician (GradStat) status and after five years’ experience this can be converted into the professional status of Chartered Statistician (CStat).

Being a chartered statistician provides employers, contractors and collaborators of statisticians a level of assurance that you are at the forefront of your field and is a mark of accomplishment to society.

Course content

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation.

Within each semester there is one compulsory module and a range of optional modules, allowing you to specialise in the area of statistics of most interest to you. Specialist areas within the course include biological or financial applications of statistics or broad based statistical expertise.The core modules will develop your skills to lay the groundwork of the programme. You’ll learn a range of statistical computing techniques and build research skills such as academic writing, programming and literature searches. Options within the course vary from mainstream topics in statistical methodology to more specialised areas and reflect specific research interests of our academic staff - examples include statistical shape analysis, directional data, statistical genetics and stochastic financial modelling.

Course structure

Compulsory modules

  • Independent Learning and Skills Project 15 credits
  • Statistical Computing 15 credits
  • Dissertation in Statistics 60 credits

Optional modules

  • Introduction to Clinical Trials 15 credits
  • Core Epidemiology 15 credits
  • Multilevel and Latent variable Modelling 15 credits
  • Advanced Modelling Strategies 15 credits
  • Advanced epidemiological techniques 15 credits
  • Mathematical Biology 15 credits
  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Stochastic Financial Modelling 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Advanced Mathematical Biology 20 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Statistics MSc in the course catalogue

Learning and teaching

Teaching is by lectures, tutorials, seminars and supervised research projects.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organisations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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The Liverpool Business School provides professionals with the space and academic expertise required for dedicated and specialised development. Read more
The Liverpool Business School provides professionals with the space and academic expertise required for dedicated and specialised development. We provide close links to professional bodies and you will learn how to strategically apply fiscal decisions that create the best commercial outcomes.

•Masters degree available to study full time (one year) and part time (two years)
•This degree is recognised by the Chartered Institute for Securities and Investment (CISI)
•Tutors have expertise in a variety of financial management disciplines
•Ideal preparation for a range of careers within the finance profession
•Suitable for graduates who have no knowledge of finance but want to develop a career in the sector
•Learn to think strategically about finance with an emphasis on research and critical analysis

The MSc Financial Management has been designed for those wishing to pursue a career in diverse financial or accounting sectors. In every arena, the effective financial management of funds enables businesses to operate successfully, achieve and supersede their set goals.

The overall aim of the MSc Financial Management programme is to produce postgraduates who are able to make a valid and meaningful contribution within the field of finance. This will be achieved by exposing you to the current theories, concepts and developments within this discipline and by doing so, you will become competent and thoughtful practitioners.

This intellectually challenging programme of study will focus on current issues, themes and applications within the field of finance and financial management, and your analytical, critical and problem solving skills will be extended through the academic evaluation of literature and current financial practices.

You will have the opportunity to develop your practical skills through case studies and worldwide events, by applying financial and management knowledge to improve organisational effectiveness and efficiency. You will cover topics including quantitative methods for finance, financial markets and institutions, strategic management, corporate finance and the globalisation of finance to name but a few.

Furthermore, you will undertake in-depth research in various industries, through completion of a range of assessments and a dissertation. This real-world focus will provide immediate value to your present and future employers.

What you will study on this degree

Please see guidance below on core and option modules for further information on what you will study.

Quantitive Methods for Finance

Equips you with the necessary foundations in mathematics and statistics to enable the successful study of subsequent modules. You will be provided with mathematical and statistical underpinning for the study of Financial Management, the use of Excel for mathematics of Financial Management and both SPSS and Excel for statistical analysis necessary for research and research analysis

Strategic Management

Introduces you to the strategy process in a range of organisational contexts enabling you to acquire practical experience in dealing with strategic management issues

Financial Markets and Institutions

Enables you to examine and understand why financial markets and institutions exist, and what services those institutions and markets offer. Through the critical analysis and evaluation of both institutions and markets you will be expected to provide suitable decisions and recommendations to limit failures within the industry

Corporate Finance

Provides you with an in-depth analysis of corporate financing, liquidity management, owner return, control and risk management decisions within a real world context

Globalisation of Finance

Provides you with an in-depth knowledge of the global financial system and the causes of global financial instability. The module will use the global political economy perspective as an appropriate framework for understanding the complexities of global finance

Portfolio Management

Develops your understanding of the theory, practice and empirical research in portfolio management and asset allocation at an advanced level

Dissertation

You will undertake an independent financial management dissertation relevant to your field of practice or area of professional interest

Further guidance on modules

The information listed in the section entitled 'What you will study' is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained.

Please email if you require further guidance or clarification.

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The focus of this course is corporate financial management, with particular emphasis on the international and global perspective. Read more

Why take this course?

The focus of this course is corporate financial management, with particular emphasis on the international and global perspective. It is particularly suited to graduates looking to pursue careers in corporate finance in large financial and non-financial companies, or corporate financial services in banking and investment banking. The course covers the three key areas of finance: corporate finance, financial markets and institutions, and investments, with the main focus being on corporate finance.

What will I experience?

On this course you will be taught by enthusiastic staff who not only are academically qualified, but also have research and consultancy experience, as well as links to industry.

You will also have access to extensive financial databases including Bloomberg, DataStream and Bank Scope 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?

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 will give you a strong practical understanding of the econometric tools you will be using throughout your study of finance. We take an applied approach to provide you with an 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. The second half of the unit the focuses 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.

Derivatives: Options, Futures and Swaps Markets

In this unit you will study the main derivatives securities and markets, options, forwards, futures and swaps. The emphasis is on the study of derivatives pricing models and how these are applied in speculation, hedging, arbitrage and price discovery in financial investments as well as in the measurement and management of financial risks. In finance some models work better than others. The pricing models and techniques developed in derivatives work so well that all professionals working in derivatives markets use these models and techniques all the time, every day. In this unit you will acquire a high degree of theoretical understanding and practical competence in using and applying these techniques.

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 for any problems that you might have.

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

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