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Masters Degrees (Decision Theory)

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Studying Finance at Royal Holloway, University of London means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. Read more

Studying Finance at Royal Holloway, University of London means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. This programme provides you with an opportunity to study a portfolio of courses in the first year designed to bring you up to the entry standard for the Masters degree; ideal if you have graduated from disciplines other than Economics, Finance, and a highly quantitative discipline. You will learn how to analyse issues in finance and corporate policy and build your analytical and technical expertise. On graduation you will be ready to start a career in the financial services, business and banking sectors; we have an impressive employment record, 90% of our economics students have jobs in six months.

In the first year you will study undergraduate level courses and in the second year, subject to progression, you will progress to the year-long Masters in Finance. Through your studies you will gain a strong grounding in core areas of finance and have the flexibility to specialise in areas such as fixed income securities and derivatives, investment and portfolio management or decision theory and behaviour. On graduation you will be skilled in investment analysis, mathematical statistics financial econometrics and you will have the tools to analyse how investment decisions.

Our balanced approach to research and teaching guarantees high quality teaching from subject leaders, cutting edge materials and intellectually challenging debates. You will be taught by people who have worked and are still working in the finance industry in the broad areas of asset allocation and risk, as well as algorithmic trading. 

  • Excellent career prospects; economics has an impressive employment record and graduates’ starting salaries are amongst the highest in the country.
  • Small groups with individual support; being part of a small group means you’ll feel part of a team and have close contact with the academic staff. You will also receive individual support from the course director.
  • Quality research and teaching; one of only economics departments in the country placed in the top ten for both research and student satisfaction (Research Assessment Exercise, 2014 and National Student Survey 2015).

Course structure

Pre-course preparation

Quantitative Methods

In this module you will develop an understanding of basic mathematical methods that are used in the study of Economics and Finance, including basic matrix analysis, topology, statistics, and probability theory. You will look at differentiation and integration of standard functions, and basic manipulations of vectors and matrices. You will also examine various optimisation problems and theorems leading to certain basic results in calculus.

Core modules

Year 1

  • Microeconomics
  • Macroeconomics
  • Quantitative Methods in Economics

Year 2

  • Corporate Finance
  • Foundations of Finance
  • Quantitative Methods in Finance
  • Financial Economics
  • Mathematical Methods
  • Dissertation

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

Year 1

  • Game Theory
  • Financial Econometrics
  • Financial Economics

Year 2

  • Decision Theory and Behaviour
  • Investment and Portfolio Management
  • Fixed Income Securities and Derivatives
  • Private Equity
  • The Economics of Banking

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Your future career

A Finance masters degree at Royal Holloway will equip you with an enviable range of transferable skills and can lead into a variety of career paths as well as the knowledge and a solid foundation for continued PhD studies. Employers recognise and reward the real knowledge and skills developed in a Finance degree.

We will help students to recognise their own strengths, skills and abilities so that they can make strong applications for their chosen job or further study. We also provide careers support including application and interview coaching, career strategy discussions and the opportunity to network with major employes.

  • Our graduates are highly employable and, in recent years, have entered many areas within the financial sector, including careers as economists, financial analysts, accountants, bankers, journalists and business analysts. 
  • Our graduates are currently working for firms such as Accenture, TNS, Bloomberg, Citigroup, Royal Bank of Scotland, Credit Suisse, Pricewaterhouse Cooper and Baker and Mackenzie.


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Studying Economics masters degree at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. Read more

Studying Economics masters degree at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. Students will receive rigorous training in the analysis of economics and graduate with the tools of the professional economist so that you are ready for your chosen career path, whether in government, the private and financial services sectors or further research in economics. We have an impressive employment record, 90% of our students have jobs in six months.

This is a challenging degree and to ensure all students are ready we hold a two week pre-sessional course. Throughout your studies you will gain a strong grounding in core areas of economics and have the flexibility to specialise, in areas such as: political economy, financial econometrics and decision theory and behaviour. On graduation you will have the ability to solve theoretical and/or applied problems in economic policy, critically evaluate current research, develop simplifying frameworks for studying the real world and to be able to appreciate what would be an appropriate level of abstraction for a range of economic issues.

Our balanced approach to research and teaching guarantees high quality teaching from subject leaders, cutting edge materials and intellectually challenging debates. Our courses follow a coherent and developmental structure which we combined with an effective and flexible approach to study.

  • Excellent career prospects; economics has an impressive employment record and graduates’ starting salaries are amongst the highest in the country.
  • Small groups with individual support; being part of a small group of around 30 students means you’ll feel part of a team and have close contact with the academic staff, you’ll also receive the individual support from the course director.
  • Quality research and teaching;one of only economics departments in the country placed in the top ten for both research and student satisfaction (Research Assessment Exercise, 2014 and National Student Survey 2015).
  • One of the few Departments in the UK to have an in-house economics experiments laboratory, used by staff and students.

Course structure

Pre-course preparation

  • Quantitative Methods

Core modules

  • Econometrics
  • Macroeconomics
  • Mathematical Methods
  • Microeconomics
  • Dissertation

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

  • Industrial Economics
  • Advanced Topics in Microeconomics
  • Decision Theory and Behaviour
  • Evaluation Economics
  • Experimental Economics
  • Financial Econometrics
  • Labour Economics
  • Public Economics
  • The Economics of Banking

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Your future career

An Economics masters degree at Royal Holloway, University of London will equip you with an enviable range of transferable skills and can lead into a variety of career paths as well as the knowledge and a solid foundation for continued PhD studies. Employers recognise and reward the real knowledge and skills developed in an Economics degree. 

We will help students to recognise their own strengths, skills and abilities so that they can make strong applications for their chosen job or further study. We also provide careers support including application and interview coaching, career strategy discussions and the opportunity to network with major employes.

  • Our graduates are highly employable and full time employment or further study achieved by 90% of Economics graduates within six months of graduation (Unistats 2012).
  • Our graduates are highly employable and, in recent years, have entered many different economics-related areas, including working in the Public Sector (Government Economics Service), journalism, business analysis. careers as Economists, Journalists and Business Analysts. 
  • Our graduates are currently working for firms such as Accenture, TNS, Bloomberg, Citigroup, Royal Bank of Scotland, Credit Suisse, Pricewaterhouse Cooper and Baker and Mackenzie.


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Studying Finance Masters Degree at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. Read more

Studying Finance Masters Degree at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. This programme will provide you with intensive training in the analysis of issues in finance and corporate policy while improving your analytical and technical expertise. On graduation you will be in a strong position to start a career in the financial services, business and banking sectors; we have an impressive employment record, 90% of economics students have jobs in six months.

This is a challenging degree and to ensure all students are ready we hold a two week pre-sessional course. Through your studies you will gain a strong grounding in core areas of finance and have the flexibility to specialise, in areas such as: fixed income securities and derivatives, investment and portfolio management and decision theory and behaviour. On graduation you will be skilled in financial analysis techniques; understand mathematical statistics and theories that are applied in financial econometrics and have the tools to analyse how the financial markets function.

Our balanced approach to research and teaching guarantees high quality teaching from subject leaders, cutting edge materials and intellectually challenging debates. You will be taught by people who have worked and are still working in the finance industry in the broad areas of asset allocation and risk, as well as algorithmic trading. 

  • Excellent career prospects; economics has an impressive employment record and graduates’ starting salaries are amongst the highest in the country.
  • Small groups with individual support; being part of a small group means you’ll feel part of a team and have close contact with the academic staff, you’ll also receive the individual support from the course director.
  • Quality research and teaching;one of only economics departments in the country placed in the top ten for both research and student satisfaction (Research Assessment Exercise, 2014 and National Student Survey 2015).
  • One of the few Departments in the UK to have an in-house economics experiments laboratory, used by staff and students.

Course structure

Pre-course preparation

  • Quantitative Methods

Core modules

  • Corporate Finance
  • Foundations of Finance
  • Financial Econometrics
  • Mathematical Methods
  • Quantitative Methods in Finance
  • Dissertation

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

  • Decision Theory and Behaviour
  • Investment and Portfolio Management.
  • Fixed Income Securities and Derivatives
  • Private Equity
  • The Economics of Banking

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Your future career

A Finance masters degree at Royal Holloway will equip you with an enviable range of transferable skills and can lead into a variety of career paths as well as the knowledge and a solid foundation for continued PhD studies. Employers recognise and reward the real knowledge and skills developed in an Economics degree. 

We will help students to recognise their own strengths, skills and abilities so that they can make strong applications for their chosen job or further study. We also provide careers support including application and interview coaching, career strategy discussions and the opportunity to network with major employes.

  • Our graduates are highly employable and, in recent years, have entered many different economics-related areas, including careers as economists, financial analysts, accountants, bankers, journalists and business analysts. 
  • Our graduates are currently working for firms such as Accenture, TNS, Bloomberg, Citigroup, Royal Bank of Scotland, Credit Suisse, Pricewaterhouse Cooper and Baker and Mackenzie.


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Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way. Read more

Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way.

Analysts use their expertise to make sense of this information and interpret it, enabling evidence-based business decisions. As a result, they’re in high demand with employers in every sector.

This programme gives you an insight into business analytics and explores how organisations can exploit the big data revolution. You’ll develop decision-oriented, quantitative analytical skills in a management context, and learn to sift intelligence from the growing volume and variety of data collected on many aspects of life.

Combining theoretical concepts with practical application, you’ll develop a unique mix of quantitative and behavioural skills relevant to data analyses, effective decision-making and management.

Academic excellence

You’ll be taught by internationally recognised academics and business practitioners from our Centre for Decision Research, who are actively engaged in the latest research, advising businesses, governments and international bodies. They share this expertise and knowledge with you in the classroom.

With the Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.

Course content

This programme will build your knowledge and understanding of how business analytics can provide evidence to support management decision-making. You’ll learn how to use different evidence-based approaches to make effective decisions, developing your skills in quantitative analysis.

You’ll consider advanced techniques such as forecasting and have the opportunity to apply your decision-making skills to real-life business and management scenarios. With the support of leading researchers in this constantly shifting landscape, you’ll also gain an understanding of research methods.

A range of optional modules allows you to gain specialist knowledge that suits your interests or career plans.

The course culminates in a 12,000 word dissertation or project, enabling you to apply your learning to a topic of your choice. This is an opportunity to explore the very latest insights with the support of an academic who shares your passion and interest.

Course structure

Compulsory modules

You’ll take eight compulsory modules including your dissertation.

  • Effective Decision Making 15 credits
  • Dissertation 45 credits
  • Advanced Management Decision Making 15 credits
  • Business Analytics and Decision Science 15 credits
  • Forecasting and Advanced Business Analytics 15 credits
  • Evidence Based Consultancy 15 credits
  • Research Methods 15 credits
  • Quantitative Analysis 15 credits

Optional modules

You'll also choose another three optional modules.

  • Behavioural Finance 15 credits
  • Risk Perception and Communication 15 credits
  • Managing Global Logistics and Supply Chains 15 credits
  • Operations and Supply Chain Management 15 credits
  • Managing and Designing Value Chain Networks 15 credits
  • Information Tools for Organisations 15 credits
  • Challenges in Information Management 15 credits
  • Designing Information Systems 15 credits

For more information on typical modules, read Business Analytics and Decision Sciences MSc in the course catalogue

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning, computer classes and tutorials.

Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Career opportunities

Graduates of the MSc Business Analytics and Decision Sciences can expect to have the quantitative skills to analyse complex business information, and use the resulting intelligence to inform business decisions.

You will be ideally placed to pursue a career in analytics and decision making, general and specialist management roles in a range of industries, or as business or market analysts.

Employers in both private and public sectors are actively seeking graduates with these skills, and trends show that the career opportunities are fast increasing. The role of the data scientist was described as the 'Sexiest Job of the 21st Century' by the Harvard Business Review.

Demand for experts in business analytics is growing rapidly and the University of Leeds is at the forefront of developments in this area.

Read more about Business Analytics at Leeds.

Links with industry

Students have the opportunity to develop leadership skills as part of our Leaders in Residence initiative which gives management students the opportunity to engage with senior figures from the world of business. This is a rare opportunity where successful and established business people will help you connect the theory of your course to real world practice, and offer their advice for career success.

You will be able to connect with leaders from a range of firms including major manufacturers and retailers, charity chief executives, entrepreneurs and directors of companies large and small, through structured meetings and events. This typically includes workshops, social events, guest lectures and professional skills development.

Careers support

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

Read more about our careers and professional development support.

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



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This course explores recent developments in theories of behavioural decision-making science. It will enable you to critically examine theories of judgement and decision-making motivated by research in memory, perception, categorisation, reasoning, social psychology, economics, political and management sciences. Read more

This course explores recent developments in theories of behavioural decision-making science. It will enable you to critically examine theories of judgement and decision-making motivated by research in memory, perception, categorisation, reasoning, social psychology, economics, political and management sciences. The career-focused modules are designed to build on your workplace skills and develop new skills.

  • This course will enable you to develop the skills to evaluate research findings and to relate these findings to practical applications and solutions. It facilitates and encourages interaction between theory, policy and practice in relation to people's judgements and choices in politics, business, retail, health, leisure and sport.
  • You will benefit from regular public lectures organised by the Group for Decision, Thinking and Risk and delivered by internationally recognised researchers in the fields of decision-making, thinking and risk. In addition, you can attend weekly departmental research seminars, where international scholars and staff members present recent research findings.

What will you study?

You will cover recent developments in normative, descriptive and experience-based theories of choice, as well as the impact of experience and expertise on judgements and choice. You will be introduced to applications of judgement and decision-making research in areas such as consumer behaviour, politics, sports, economics and health, providing a firm basis in both the theory and practice of cognitive science and decision-making. You will also explore a selection of current research topics relevant to individual and managerial decision-making, wellbeing and policy-making.

Assessment

Assessment methods include essays, in-class tests, unseen examinations, laboratory reports and a dissertation.

Course structure

Please note that this is an indicative list of modules and is not intended as a definitive list.

Core modules

  • Applications of Behavioural Decision Science
  • Psychology Dissertation
  • Research Design and Analysis
  • The Psychology of Thinking, Judgement and Decision-Making
  • Applications of Psychological Research
  • The Psychology of Health and Well Being

Optional modules to be confirmed.



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Designed for aspiring finance professionals who want to gain specialist knowledge, this course will equip you with the skills required for seeking employment in the increasingly complex and demanding financial services sector. Read more
Designed for aspiring finance professionals who want to gain specialist knowledge, this course will equip you with the skills required for seeking employment in the increasingly complex and demanding financial services sector.

You will explore the theories and current practice in the finance industry from both a national and international perspective. The course blends theory with practice to provide you with the applied vocational skills that potential employers require.

You'll study in the heart of Leeds, which is the largest hub of financial services in the UK outside London. Leeds is home to many leading financial organisations and large professional services firms. You'll be taught by a range of highly experienced tutors with industrial, professional and academic knowledge.

We include a strong international dimension in the course content and attract students from as far and wide as China, India, Pakistan and Vietnam.

Faculty of Business & Law website (https://www.leedsmet.ac.uk/fbl/)
Request a call back (http://www.leedsmet.ac.uk/study/postgraduate.htm)

January entrants please note: in order to complete 12 months of academic study delivered in University term time, the total length of your programme will be 18 months to include recognised University vacation periods.

- Research Excellence Framework 2014: twice as many of our staff - 220 - were entered into the research assessment for 2014 compared to the number entered in 2008.

Visit the website http://courses.leedsbeckett.ac.uk/finance_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

This course has a proven track record of graduates gaining employment in the financial services sector, such as banking or insurance. Others have entered into their family business, taking on a variety of management level roles. A small number have remained in the education sector to study a PhD and have entered into the teaching profession.

- Financial Analyst
- Financial Advisor
- Director of Finance
- Chief Financial Officer

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit our careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

Our MSc Finance is delivered in the heart of Leeds, which is the largest hub of financial services in the UK outside London and which is home to many leading financial organisations and large professional services firms.

The course is delivered by a range of highly experienced tutors with industrial, professional and academic experience. The course emphasises blending theory with practice and thus provides students with the applied vocational skills that potential employers require. It is international both in terms of content and the student mix which provides a multicultural learning environment.

At Leeds Business School we're dedicated to supporting your professional development - that's why we offer a guest lecture programme. Past speakers include the CEO of the London Stock Exchange, Shadow Chief Secretary to the Treasury, past Chair and President of the Academy of Marketing, Chief Executive of the British Bankers Association, the Chief Economist of Yorkshire Bank and the Editor of Cosmopolitan. To see our full programme and to register for a lecture click here (http://www.leedsmet.ac.uk/guestspeakers).

Core Modules

Corporate Finance
Evaluate the fundamental concepts and theories of modern finance, identifying how these can be effectively applied in both national and multinational organisations.

Financial Decision Analysis
Cover topics on decision theory (decision trees and tables), linear programming, regression, time series, portfolio optimisation, discounted cash flow and finance.

Financial Economics
Gain a comprehensive economic analysis of the operation, efficiency and dependencies between financial markets and their associated institutions. You will also assess the impact upon the world economy of any failure of the financial sector.

Managing Financial Resources
Gain a critical understanding of contemporary accounting and financing principles which support business decision-making and financial resourcing in both the private and public sectors.

Understanding the Economy
Develop knowledge and a critical understanding of the workings of a major economy which is subject to a constantly changing global environment, de-regulated financial systems, modern mass communication and international monetary flows.

Dissertation
You will carry out an in-depth research project in a subject area that is appropriate to the course and of particular interest to you.

Option Modules

Forensic Accounting
Discover the need for and role of corporate governance in the business environment, the role of IT in forensic accounting and fraud detection and the types and incidences of fraud.

Investment Fund Management
You will identify, understand, evaluate and compare types of investment for the private investor, including tools, methods and strategies.

Management of International Finance
Gain a comprehensive understanding of the economics of the operation and organisation of national and international financial systems.

"We are proud of the success of our national and international graduates."
- Professor Christopher Prince
Dean and Pro Vice Chancellor of the Faculty of Business and Law

Facilities

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- The Rose Bowl
The Rose Bowl has impressive teaching spaces, auditoriums, conference facilities and an outstanding local reputation as a business hub. The Rose Bowl puts our students at the centre of a dynamic business community.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Read more

This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.

Skills that you will acquire include the ability to:

  • analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment
  • analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems
  • work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
  • analyse and critically evaluate applicability of machine learning algorithms to problems in finance
  • implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems
  • work with software packages such as MATLAB and R
  • work with Relational Database Systems and SQL

You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time V. Vapnik and A. Chervonenkis (the inventors of Support Vector Machines) were both professors here. We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk – the inventors of conformal predictors theory, a radically new method of estimating the accuracy of each prediction as it is made – and Chris Watkins, originator of reinforcement learning who developed ‘Q-learning’, a work that is fundamental to planning and control.

  • Study in two highly-regarded departments, respectively ranked 11th and 8th in the UK for research quality (Research Excellence Framework 2014).
  • Refine your skills and knowledge with a year in industry at one of the country's top institutions.
  • Benefit from strong industry ties, with close proximity to England’s 'Silicon Valley’.
  • Graduate with a Masters degree with excellent graduate employability prospects.
  • Tailor your learning with a wide range of engaging optional modules.

By electing to spend a year in business you will also be able to integrate theory and practice and gain real business experience. In the past, our students have secured placements in blue-chip companies such as Centrica, Data Reply, Disney, IMS Health, Rolls Royce, Shell, Sociéte Générale, VMWare and UBS, among others.

Course structure

Core modules

Year 1

  • Data Analysis
  • Programming for Data Analysis
  • Database Systems
  • Foundations of Finance
  • Investment and Portfolio Management

Year 2

You will spend this year on a work placement. You will be supported by the Department of Computer Science and the Royal Holloway Careers and Employability Service to find a suitable placement. This year forms an integral part of the degree programme and you will be asked to complete assessed work. The mark for this work will count towards your final degree classification.

  • Individual Project

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

Year 1

  • Machine Learning
  • Computation with Data
  • Methods of Computational Finance
  • Software Verification
  • Advanced Data Communications
  • Fundamentals of Digital Sound and Music
  • Intelligent Agents and Multi-Agent Systems
  • Semantic Web
  • Internet and Web Technologies
  • On-line Machine Learning
  • Large-Scale Data Storage and Processing
  • Service-Oriented Computing, Technology and Management
  • Business Intelligence
  • Business Intelligence Systems, Infrastructures and Technologies
  • Computational Optimisation
  • Methods of Bioinformatics
  • Visualisation and Exploratory Analysis
  • Corporate Finance
  • Financial Econometrics
  • Fixed Income Securities and Derivatives
  • Microeconometrics
  • Decision Theory and Behaviour
  • The Economics of Banking
  • Private Equity
  • Inference
  • Applied Probability
  • Security Technologies
  • Introduction to Cryptography and Security Mechanisms
  • Network Security
  • Computer Security (Operating Systems)
  • Security Management
  • Smart Cards, RFIDs and Embedded Systems Security
  • Digital Forensics
  • Security Testing - Theory and Practice
  • Software Security
  • Database Security
  • Cyber Security

Teaching & assessment

Teaching is organised in terms of 11 weeks each. Examinations are taken in April / May of each academic year, except for Data Analysis for which the exam is in January. Your 'Year in Industry' typically starts at the end of June or beginning of July and lasts for a maximum of one year. The individual project is taken over 12 weeks during the Summer after the placement.

A weekly seminar series runs in parallel with the academic programme, which includes talks by professionals in a variety of application areas as well as workshops that will train you to find a placement or a job and lead a successful career.

Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules. The placement is assessed as part of your degree (10% of the individual project).

Although the responsibility for finding a placement is ultimately with the student, our Careers Team will help you identify suitable opportunities, make applications and prepare for interviews. Please note that progression to the placement is conditional on good academic performance. Students who fail to qualify for or find a placement are automatically transferred to the one-year programme. Find out more on our year in industry page.

Your future career

Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. Our graduates have an excellent track record of finding jobs at the end of (if not during) their studies. 

We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs.



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If you have earned a first degree with an information systems focus and are interested in following up with a Master's degree in the same discipline, then you've come to the right place. Read more

About the programme

If you have earned a first degree with an information systems focus and are interested in following up with a Master's degree in the same discipline, then you've come to the right place.
The M.Sc. Information Systems allows you to consolidate your knowledge of e-commerce, business information systems, IT management, knowledge management and other topical subjects.
This degree programme involves original research and working on hands-on projects.

Features

In addition to the courses taught in this programme you will also have the opportunity to attend courses from the related programmes of study, Business Administration, Computer Science, IT Security, IT Law and Media and Communication.
Moreover, the Language Centre offers many language courses – in many cases certified up to UNIcert® IV, the highest attainable level – allowing you to perfect your knowledge of a foreign language.
If you are interested in studying abroad for a semester or two at one of our numerous partner universities in Europe, America or Asia, the International Office team will be happy to help you plan your study abroad.

Syllabus

While studying this programme you should gain a minimum of 100 ECTS credits and write a Master's thesis. Out of the 100 credits, 35 are earned in compulsory electives, of which 7 must be earned in a seminar; at least 10 credits come from the Methods modules and a minimum of 18 from Principles of Business and Economics.

Methods
The Methods module group teaches you the principles of mathematics, which are important for business and economics; empirical research methods; decision theory; operations research and fundamental concepts and techniques used in information systems. In the assessments, you will be expected to demonstrate in-depth knowledge of the subject matter and show that you have the methodology to understand the state of the art of research in the subject area and are able to apply the it to problems in the real world.

Principles of Business and Economics
Principles of Business and Economics deals with the theory and empirical studies in business and household finance, computational representation, and with the control of resources and dispositions in businesses and household, as well as their taxation. The module also imparts knowledge on international, market-oriented control, strategic and organisational management of companies, as well as marketing theory and empirical studies.

Information Systems
Information Systems consists of the modules Theory and Empirical Research and Methods, Models and Tools for Analysis, Development, Implementation and Use of Information Systems and Information and Communication Technologies in the context of their application. The subject area is interdisciplinary in nature and comprises the socio-economic dimension of IT applications.

Advanced Interdisciplinary Studies
The Advanced Interdisciplinary Studies modules consist of theory and empirical studies of subjects closely related to information systems. These include courses from the Master's programme in Media and Communication (e.g. cross-media concepts, design of computer-aided educational settings, etc.), from Computer Science (IT law, media law and legal informatics), from Business Administration (e.g. marketing courses, social media management, entrepreneurial organisation, etc.) and from computer science (e.g. information management, software analysis, cloud computing, multimedia databases, information security).

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This degree, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Read more

This degree, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.

Skills that you will acquire include the ability to:

  • analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment
  • analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems
  • work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
  • analyse and critically evaluate applicability of machine learning algorithms to problems in finance
  • implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems
  • work with software packages such as MATLAB and R
  • work with Relational Database Systems and SQL

You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time V. Vapnik and A. Chervonenkis (the inventors of Support Vector Machines) were both professors here. We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk – the inventors of conformal predictors theory, a radically new method of estimating the accuracy of each prediction as it is made – and Chris Watkins, originator of reinforcement learning who developed ‘Q-learning’, a work that is fundamental to planning and control.

  • Study in two highly-regarded departments, respectively ranked 11th and 8th in the UK for research quality (Research Excellence Framework 2014).
  • Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’.
  • Graduate with a Masters degree with excellent graduate employability prospects.
  • Tailor your learning with a wide range of engaging optional modules.
  • Choose from a one-year programme structure or add an optional year in industry.

Course structure

Core modules

  • Data Analysis
  • Programming for Data Analysis
  • Database Systems
  • Foundations of Finance
  • Investment and Portfolio Management
  • Individual Project

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

Please note that some of these modules may have pre-requisites. During Welcome Week, your personal advisor will help you choose the electives that best suit your background and career ambitions, as well as your timetable.

  • Machine Learning
  • Computation with Data
  • Methods of Computational Finance
  • Software Verification
  • Advanced Data Communications
  • Fundamentals of Digital Sound and Music
  • Intelligent Agents and Multi-Agent Systems
  • Semantic Web
  • Internet and Web Technologies
  • On-line Machine Learning
  • Large-Scale Data Storage and Processing
  • Service-Oriented Computing, Technology and Management
  • Business Intelligence
  • Business Intelligence Systems, Infrastructures and Technologies.
  • Computational Optimisation
  • Methods of Bioinformatics
  • Visualisation and Exploratory Analysis
  • Corporate Finance
  • Financial Econometrics
  • Fixed Income Securities and Derivatives
  • Microeconometrics
  • Decision Theory and Behaviour
  • The Economics of Banking
  • Private Equity
  • Inference
  • Applied Probability
  • Security Technologies
  • Introduction to Cryptography and Security Mechanisms
  • Network Security
  • Computer Security (Operating Systems)
  • Security Management
  • Smart Cards, RFIDs and Embedded Systems Security
  • Digital Forensics
  • Security Testing - Theory and Practice
  • Software Security
  • Cyber Security
  • Database Security

Teaching & assessment

Teaching is organised in terms of 11 weeks each. Examinations are taken in April/May of each academic year, except for Data Analysis for which the exam is in January. The individual project is taken over 12 weeks during the Summer.

A weekly seminar series runs in parallel with the academic programme, which includes talks by professionals in a variety of application areas as well as workshops that will train you to find a placement or a job and lead a successful career.

Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules.

This degree can be taken part-time - visit our website for details

Your future career

Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. All our graduates found jobs at the end of (if not during) their studies.

We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs. Together with the University’s Careers Service, we offer you workshops and one-to-one coaching that prepare you to find a placement or a job and lead a successful career. 

  • 90% of Royal Holloway graduates in work or further education within six months of graduating.
  • Strong industry ties help to provide placement and networking opportunities.
  • On-site Careers Service provides help and support for students.


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Mathematics is at the heart of advances in science, engineering and technology, as well as being an indispensable problem-solving and decision-making tool in many other areas of life. Read more
Mathematics is at the heart of advances in science, engineering and technology, as well as being an indispensable problem-solving and decision-making tool in many other areas of life. This MSc course enables you to delve deeply into particular aspects of pure and applied mathematics, through a wide choice of modules in fascinating areas such as fractal geometry, coding theory and analytic theory. You’ll complete your MSc with a piece of independent study, exploring the history of modern geometry, advances in approximation theory, variational methods applied to eigenvalue problems, or algebraic graph theory and culminating in a dissertation on the topic of your choice.

Key features of the course

•Ideal for mathematically inclined scientists and engineers as well as mathematicians
•Extends your knowledge and refines your abilities to process information accurately, and critically analyse and communicate complex ideas
•Develops an enhanced skill set that will put you at an advantage in careers as diverse as mathematics, education, computer science, economics, engineering and finance.
•The most popular MSc in mathematics in the UK.
This qualification is eligible for a Postgraduate Loan available from Student Finance England. For more information, see Fees and funding

Course details

You can take a number of different routes towards your qualification - see the full module list for all options.

Modules

The modules in this qualification are categorised as entry, intermediate and dissertation. Check our website for start dates as some modules are not available for study every year.

Entry:

• Calculus of variations and advanced calculus (M820)
• Analytic number theory I (M823)

Intermediate:

• Nonlinear ordinary differential equations (M821)
• Applied complex variables (M828) - next available in October 2017 and following alternate years
• Analytic number theory II (M829) - next available in October 2018 and following alternate years
• Approximation theory (M832) - next available in October 2018 and following alternate years
• Advanced mathematical methods (M833) - next available in October 2017 and following alternate years
• Fractal geometry (M835) - next available in October 2017 and following alternate years
• Coding theory (M836) - next available in October 2018 and following alternate years
• Dissertation: Dissertation in mathematics (M840)

Module study order:

•You must normally pass at least one entry level module before studying an intermediate module.
•You must pass Analytic number theory I (M823) before studying Analytic number theory II (M829).
•You must normally pass four modules before studying the Dissertation in mathematics (M840).
•Some topics for the dissertation have prerequisite modules

Otherwise within each category modules may be studied in any order, and you may register for a module while studying a pre-requisite for that module (i.e. before you know whether you have passed the pre-requisite module or not).

To gain this qualification, you need 180 credits as follows:

150 credits from this list:

Optional modules

• Advanced mathematical methods (M833)
• Analytic number theory I (M823)
• Analytic number theory II (M829)
• Applied complex variables (M828)
• Approximation theory (M832)
• Calculus of variations and advanced calculus (M820)
• Coding theory (M836)
• Fractal geometry (M835)
• Nonlinear ordinary differential equations (M821)

Plus

Compulsory module

Dissertation in mathematics (M840)

The modules quoted in this description are currently available for study. However, as we review the curriculum on a regular basis, the exact selection may change over time.

Credit transfer

For this qualification, we do not allow you to count credit for study you have already done elsewhere.

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This course aims to bring you, in 12 months, to a position where you can embark with confidence on a wide range of careers, including taking a PhD in Mathematics or related disciplines. Read more

This course aims to bring you, in 12 months, to a position where you can embark with confidence on a wide range of careers, including taking a PhD in Mathematics or related disciplines. There is a wide range of taught modules on offer, and you will also produce a dissertation on a topic of current research interest taken from your choice of a wide range of subjects offered.

Course structure and overview

  • Six taught modules in October-May
  • A dissertation in June-September.

Modules: Six of available options

In previous years, optional modules available included:

Modules in Pure Mathematics:

  •  Algebraic Topology IV
  •  Analysis III and IV
  •  Codes and Cryptography III
  •  Differential Geometry III
  •  Galois Theory III
  •  Representation Theory III and IV
  •  Riemannian Geometry IV
  •  Topology III
  •  Topics in Algebra and Geometry IV

Modules in Probability and Statistics:

  •  Bayesian Statistics III and IV 
  •  Mathematical Finance III and IV
  •  Decision Theory III
  •  Operations Research III
  •  Statistical Methods III
  • Stochastic Processes III and IV

Modules in Applications of Mathematics:

  •  Advanced Quantum Theory IV
  •  Continuum Mechanics III and IV
  •  Dynamical Systems III
  •  General Relativity IV
  •  Mathematical Biology III 
  •  Partial Differential Equations III and IV
  •  Quantum Information III
  •  Quantum Mechanics III
  •  Solitons III and IV

Course Learning and Teaching

This is a full-year degree course, starting early October and finishing in the middle of the subsequent September. The aim of the course is to give the students a wide mathematical background allowing them to either proceed to PhD or to apply the gained knowledge in industry.

The course consists of three modules: the first two are the Michaelmas and Epiphany lecture courses covering variety of topics in pure and applied mathematics and statistics. The third module is a dissertation on a topic of current research, prepared under the guidance of a supervisor with expertise in the area. We offer a wide variety of possible dissertation topics.

The main group of lectures is given in the first two terms of the academic year (Michaelmas and Epiphany), there are also two revision lectures in the third term (Easter). This part of the course is assessed by examinations. Students choose 6 modules, each module has 2 lectures per week and one fortnightly problems class. There are 10 teaching weeks in the Michaelmas term and 9 teaching weeks in Epiphany term. In addition lecturers also set a number of homework assignments which give the student a chance to test their understanding of the material.

The dissertation must be submitted by mid-September, the end of the twelve month course period 



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This two year programme provides rigorous mathematical training in modern economics. It will equip you with a thorough understanding of the research tools and techniques, both theoretical and empirical, required for the analysis of economics. Read more

This two year programme provides rigorous mathematical training in modern economics. It will equip you with a thorough understanding of the research tools and techniques, both theoretical and empirical, required for the analysis of economics.

Why this programme

  • This MRes is distinctive in its two year programme structure and will provide you with comprehensive foundational training in economics. It is modelled on the established tradition of US universities providing thorough PhD preparation.
  • It is ideally suited if you have a quantitative background, but limited exposure to economic ideas, or if you have a background in economics and are interested in developing this knowledge in line with the current standards of economics research.
  • It includes extensive training in qualitative research methods of mathematics, statistics and econometrics, as well as the mathematical treatment of the core areas of economics.
  • Our staff members are research-active economists, who publish regularly in leading professional journals such as Econometrica, Theoretical Economics, the Economic Journal, and the Review of Economic Dynamics.
  • You will have the opportunity to join the Economics Group, which is a vibrant postgraduate research community that runs a series of seminars dedicated to different subjects within economics. The group also hosts workshops and conferences, and attracts international research visitors of world-leading quality. 

Programme structure

During the first two weeks you will take a pre-sessional mathematics course. This ensures that you all begin the programme on the same mathematical footing. In year one you will receive comprehensive research-oriented training in research methods and the core areas of economics. You will also receive advanced training in research design and complete an independent summer research project under academic supervision.

After year one of this programme you will have the option to graduate with an MSc Quantitative Economics, or continue to year two which will focus on the specialised fields of applied Economics; preparing you for your PhD. In year two you will take optional courses in your chosen subfield of specialisation, as well as work on a dissertation that will lead to your PhD proposal, should you decide to proceed further onto a PhD in Economics. Teaching will be in the format of lectures, tutorials and seminars, with work on research projects. 

Core courses

  • Econometrics
  • Macroeconomics 1
  • Macroeconomics 2
  • Microeconomics 1
  • Microeconomics 2
  • Quantitative methods. 

Optional courses may include

  • Behavioural economics
  • Contract theory
  • Decision theory
  • Economic growth: Theory and numerical solution methods
  • Game theory
  • Industrial organisation
  • International macroeconomics
  • Market microstructure
  • Methods of economic dynamics
  • Microfoundations of macroeconomics
  • Networks and games
  • Time series analysis
  • Welfare and mechanism design.

Career prospects

This programme provides you with thorough preparation for PhD research, and completion at a sufficiently high level guarantees admission into the Glasgow Economics PhD programme. You will also be extremely well-positioned to be accepted for PhD study in other universities. Upon completion of the programme you will be equipped to pursue careers in academia, government, industry or consulting. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.



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The School of Government and International Affairs has a vibrant research environment. All SGIA Masters students are welcome to the numerous events organised by the School's research centres. Read more
The School of Government and International Affairs has a vibrant research environment. All SGIA Masters students are welcome to the numerous events organised by the School's research centres. MA Politics & International Relations (Political Theory) students will particularly benefit from the activities of the Centre for Political Thought. The centre runs seminar series, workshops and reading group and actively involves Masters and PhD students in its work.

Student Profiles

Not only has the MA Politics and International Relations (Political Theory) programme allowed me to further pursue what I find to be the most interesting aspect of politics, but working so closely with such knowledgeable tutors on a weekly basis has truly opened my eyes and allowed me to delve into and examine the most fundamental concepts behind political theory. That along with the fascinating debates that I had with my classmates and the thought-provoking essays have contributed to what has been the most important step in my career in politics.” Tarek Abou-Jaoude, 2014/15

“Participating in the Politics and International Relations program at Durham University is the best academic decision I have ever made for two reasons. First, is the engaging learning environment created in the classroom by the professors who lead students in civic discussion and debate. The second reason is what makes Durham University so special, being an international student from the U.S going to school at Durham allowed me to learn international relations in the classroom, and its convenient location allowed me to travel to most places in Europe to gain practical application that cannot be taught by reading a book. You make lifelong friends from all over the world who share your core interests, and that is tailor made attribute of Durham University.” Nicholas Lennox, 2014/15

“Durham has been one of the best experiences of my life. This University teaches the meaning of community and friendship, in an environment that combines historic heritage with the latest trends. The MA in Politics and International Relations (Political Theory) was all I expected. A flexible programme that allowed me to interact both with our lecturers and fellow students of the School of Government and International Affairs. This open environment promoted what it felt a very complete learning experience.” Maria Lleras, 2014/15

Course Content

This programme provides students with systematic knowledge and the tools to critically review the complex relationships between government and society at a variety of levels and in different contexts. It also enables students to evaluate in a sophisticated and critical fashion, theories and paradigms within the broad field of politics and international relations, and to draw lessons from empirical studies involving both quantitative and qualitative investigations. It also aims to develop students' ability to deploy research strategies and methods in an appropriately advanced fashion to critically evaluate research at the current limits of theoretical understanding, and to equip students so that they have the ability to master complex political concepts and evaluate the significance of major developments in political thought in general as well as international relations theory.

Course Structure
Two core modules worth 30 credits, plus a Dissertation worth 75 credits, plus 5 optional modules to the value of 75 credits - 60 of which must be from the list A.

Core Modules:
-Methodology in the Social Sciences
-Research Methods and Dissertation Production

List A - In previous years these have included:
-Contemporary Socio-Political Issues in Muslim Religious Thought
-Issues in the Politics of Military Occupations
-International Relations Theory
-Political Ideology
-Human Rights
-Collective Identities and Political Thought in Britain since 1850
-Just War in Political Theory and Practice

List B
-European Institutions and the Policy Process
-European Security
-German Foreign Policy
-International Relations and Security in the Middle East
-Nationalism, Revolution and Reform in Contemporary China
-Political Economy and Development in Chinese Business
-The Contemporary Politics of the Middle East
-Strategic Asia: Policy and Analysis
-The European Union as a Global Actor
-The Political Economy of Development in the Middle East
-Model United Nations
-Region, Nation and Citizen in South East Asia
-A module offered by the School of Modern Languages and Cultures

Learning and Teaching

At the beginning of the academic year, students go through five-day induction events in which they are informed about University, the School, the MA/MSc programmes and the facilities available for their learning.

The 180 credits one-year MA degree programme is divided into two core and five optional modules of 15 credits each. Furthermore, students have to submit a dissertation of 75 credits of not more than 15,000 words. Most of the modules are delivered during the first two terms and students spend the remaining time to write the dissertation.

Usually a module has 18 contact hours spread over 9 weeks and 132 hours of self-directed learning. The modules are mainly delivered through weekly 2 hours sessions which can either take the form of seminars or one hour of lecture and one hour of tutorial. The form in which seminars are conducted can differ from one module to another. Typically modules would have elements of lectures, discussions, and presentations from students—the extent of each of these components would differ from one module to another.

All modules have written exercise for formative assessments. Upon getting feedback on these assignments, students can meet their lecturers to discuss their marks before then eventually completing a summative assessment. Typically summative assessments are 3000 word essays but some modules may be assessed by examination. Students can also meet their module coordinators during their weekly contact hours or by making an appointment. When students are working on their dissertations during the later half of the year, they meet their assigned supervisors for a minimum of 6 hours. Students also have access to the academic advisors whenever there is a need.

SGIA has a wide variety of resources available to students such as: computer room/work room with networked PC’s, printing facilities including scanner and photocopier, audio system, Wi-Fi and a relaxation area with satellite television system.

SGIA conducts weekly seminars and organises lectures and conferences which all postgraduate students can attend. These events provide students the opportunity to engage with, and debate, the most important issues in current political and international studies.

Towards the end of the programme students can contact the Careers Office of the University to get advice on available job prospects and get assistance on applying for these.

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Studying Economics at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. Read more

Studying Economics at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research centres. This programme provides you with an opportunity to study a portfolio of courses in the first year designed to bring you up to the entry standard for the Masters degree; ideal if you have graduated from disciplines other than Economics or if you have some background in Economics and wish to deepen your understanding of the discipline. You will receive rigorous training in the analysis of economics and graduate with the tools of the professional economist so that you are ready for your chosen career path, whether in government, the private and financial services sectors or further research in economics.

In the first year you will study undergraduate level courses and in the second year, subject to progression, you will progress to the 1-year long Masters in Economics. Throughout your studies you will gain a strong grounding in core areas of economics and have the flexibility to specialise in areas such as public economics, labour economics or theoretical economics. On graduation you will have the ability to solve theoretical and/or applied problems in economic policy, critically evaluate current research, develop simplifying frameworks for studying the real world and to be able to appreciate what would be an appropriate level of abstraction for a range of economic issues.

Our balanced approach to research and teaching guarantees high quality teaching from subject leaders, cutting edge materials and intellectually challenging debates. Our courses follow a coherent and developmental structure which we combine with an effective and flexible approach to study.

  • Excellent career prospects; economics has an impressive employment record and graduates’ starting salaries are amongst the highest in the country.
  • Small and select group with individual support; being part of a small group of around 10 students means you’ll feel part of a team and have close contact with the academic staff, you’ll also receive the individual support from the course director.
  • Quality research and teaching;one of only economics departments in the country placed in the top ten for both research and student satisfaction (Research Assessment Exercise, 2014 and National Student Survey 2015).
  • One of the few Departments in the UK to have an in-house economics experiments laboratory, used by staff and students.

Course structure

Pre-course preparation

Quantitative Methods

In this module you will develop an understanding of basic mathematical methods that are used in the study of Economics and Finance, including basic matrix analysis, topology, statistics, and probability theory. You will look at differentiation and integration of standard functions, and basic manipulations of vectors and matrices. You will also examine various optimisation problems and theorems leading to certain basic results in calculus.

Core modules

Year 1

  • Microeconomics
  • Macroeconomics

Year 2

  • Mathematical Methods.
  • Dissertation

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

Year 1

  • Development Economics 
  • International Economic History
  • Economics of Life
  • Financial Economics
  • Game Theory
  • Labour Economics
  • Industrial Economics
  • Public Economics

Year 2

  • Advanced Topics in Microeconomics
  • Decision Theory and Behaviour
  • Evaluation Economics
  • Experimental Economics
  • Financial Econometrics
  • Industrial Economics
  • Labour Economics
  • Public Economics
  • The Economics of Banking

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Your future career

An Economics masters degree at Royal Holloway, University of London will equip you with an enviable range of transferable skills and can lead into a variety of career paths as well as the knowledge and a solid foundation for continued PhD studies. Employers recognise and reward the real knowledge and skills developed in an Economics degree. 

We will help students to recognise their own strengths, skills and abilities so that they can make strong applications for their chosen job or further study. We also provide careers support including application and interview coaching, career strategy discussions and the opportunity to network with major employes.

  • Our graduates are highly employable and full time employment or further study achieved by 90% of Economics graduates within six months of graduation (Unistats 2012).
  • Our graduates are highly employable and, in recent years, have entered many different economics-related areas, including working in the Public Sector (Government Economics Service), Journalism and Business Analysis. 
  • Our graduates are currently working for firms such as Accenture, TNS, Bloomberg, Citigroup, Royal Bank of Scotland, Credit Suisse, Pricewaterhouse Cooper and Baker and Mackenzie.


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The importance of Big Data grows year on year, with sectors including healthcare, manufacturing, retail, administration and others reliant on the insights that accurate data capture and analysis can provide. Read more

The importance of Big Data grows year on year, with sectors including healthcare, manufacturing, retail, administration and others reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics with a Year in Industry at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data.

You’ll study in a department with a strong reputation for research excellence. The Royal Holloway Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and you’ll have the opportunity to contribute to this leading research culture with your own Individual Project.

This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing academic scope and variety. You’ll be well-equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research-based roles upon graduation

Follow your passion for Data Science and Analytics at Royal Holloway and you’ll graduate with a desirable Masters degree from a highly regarded department, as well as transferable skillset that’s both in short supply and in high demand by employers. Our location near the M4 corridor – also known as ‘England’s Silicon Valley’ – means students can develop their skills and experience with a year in industry at some of the country's leading technology institutions.

By electing to spend a year in business you will also be able to integrate theory and practice and gain real business experience. In the past, our students have secured placements in blue-chip companies such as Centrica, Data Reply, Disney, IMS Health, Rolls Royce, Shell, Sociéte Générale, VMWare and UBS, among others.

  • Study in a highly-regarded department, ranked 11th in the UK for research publications (Research Excellence Framework 2014).
  • Gain invaluable knowledge, experience and contacts with a year in industry.
  • Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’.
  • Graduate with a Masters degree with excellent graduate employability prospects.
  • Tailor your learning with a wide range of engaging optional modules

Course structure

Core modules

Year 1

  • Data Analysis
  • Computation with Data
  • Programming for Data Analysis
  • Database Systems
  • Large-Scale Data Storage and Processing

Year 2

You will spend this year on a work placement. You will be supported by the Department of Computer Science and the Royal Holloway Careers and Employability Service to find a suitable placement. This year forms an integral part of the degree programme and you will be asked to complete assessed work. The mark for this work will count towards your final degree classification.

  • Individual Project

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.

  • Machine Learning
  • Methods of Computational Finance
  • Software Verification
  • Advanced Data Communications
  • Fundamentals of Digital Sound and Music
  • Intelligent Agents and Multi-Agent Systems
  • Semantic Web
  • Internet and Web Technologies
  • On-line Machine Learning
  • Service-Oriented Computing, Technology and Management
  • Business Intelligence
  • Business Intelligence Systems, Infrastructures and Technologies
  • Computational Optimisation
  • Methods of Bioinformatics
  • Visualisation and Exploratory Analysis
  • Financial Econometrics
  • Investment and Portfolio Management
  • Fixed Income Securities and Derivatives
  • Microeconometrics
  • Decision Theory and Behaviour.
  • The Economics of Banking
  • Private Equity
  • Inference
  • Applied Probability
  • Security Technologies
  • Introduction to Cryptography and Security Mechanisms
  • Network Security
  • Computer Security (Operating Systems)
  • Security Management
  • Smart Cards, RFIDs and Embedded Systems Security
  • Digital Forensics
  • Security Testing - Theory and Practice
  • Software Security
  • Database Security
  • Cyber Security

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The placement is assessed as part of your degree.

Your future career

Students of Data Science and Analytics with a Year in Industry at Royal Holloway, University of London will graduate with excellent employability prospects in a range of fields.

You’ll develop a range of highly sought-after transferable skills, while our proximity to the M4 corridor technology hub – also known as ‘England’s Silicon Valley’ – gives you the chance to enjoy a year in industry that will pave the way for a rewarding future career. Our recent graduates have gone on to enjoy roles in organisations such as British Aerospace, Microsoft, Amazon and American Express.

  • 90% of Royal Holloway graduates in work or further education within six months of graduating.
  • Strong industry ties help to provide placement and networking opportunities with some of the country’s leading institutions.
  • On-site College Careers Service provides help and support for students.


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