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Computer Science×

Royal Holloway, University of London, Full Time Masters Degrees in Computer Science

We have 12 Royal Holloway, University of London, Full Time Masters Degrees in Computer Science

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The MSc by Research (Computer Science) matches up students with experts in one of six research disciplines for one year of intensive supervised training. Read more
The MSc by Research (Computer Science) matches up students with experts in one of six research disciplines for one year of intensive supervised training. The MSc also offers the opportunity for industrial support and collaboration.

Please note: this is NOT a taught degree programme.

The programme is aimed at recent graduates who have achieved a good first degree and are looking for the opportunity to do in depth research in a chosen topic under the guidance of an expert in the field. We also expect this programme to be of interest to people wishing to return to academic studies after a period of employment. The emphasis is on quality students who will be receiving expert supervision.

The programme will include regular supervision of research work, and advanced course material delivered mainly through tutorial sessions, plus opportunities to take supplementary taught courses, appropriate to individual student needs. Assessment will be based primarily on the chosen research project.

Programme strands

These strands coincide with fundamental areas of research in Computer Science, in which the Department's contribution has been internationally recognised:

- Machine Learning
- Constraints
- Discrete Optimisation
- Programming Languages and Compilers
- Bioinformatics (Biological Sequence Analysis)
- Intelligent Agents and Multi-agent Systems

Applicants will be accepted for one of these six basic strands, each of which includes many different possible research opportunities, and students will choose a research topic in consultation with their supervisor during their first term.

Programme structure

- Modules designed to broaden your experience to equip you with transferable skills and knowledge (first term)

- A module on research skills (first term)

- A significant research component. This will begin in January and run through to the end of the programme in September

- Where appropriate, basic background material in lectured modules

This programme of study runs for one year full-time, or two years part-time. The academic year starts in late September each year.

Read less
This degree, offered jointly 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. Read more
This degree, offered jointly 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. This is an attractive advanced qualification, especially suitable if you are seeking employment in asset structuring, product pricing or risk management, among other fields.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msccomputationalfinance.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy, in particular of financial services and insurance. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will learn modern quantitative finance and computational methods for financial modeling. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The departments have expertise in a wide set of areas in Computer Science and in Economics, and the topics taught reflect these areas of excellence.

- Computer Science hosts one of strongest research groups in Machine Learning (the science of systems that learn from data).

- In the most recent Research Assessment Exercise (RAE 2008), Computer Science ranked 11th and Economics ranked 8th for their research output.

- Computer Science is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- Computer Science has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
Throughout your degree, you will have the opportunity to acquire the following skills:

- Knowledge of the working of financial markets and their role in the context of global economy.
- Knowledge of modern mathematical and computational techniques used in finance.
- Knowledge of key ideas, principles, and methods of machine learning and their applications in finance.
- Ability to apply methods of computational finance to practical problems in computational finance, including pricing of derivatives and risk assessment.
- Ability to analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems; to critically evaluate validity and practicality of results.
- Ability to analyse and critically evaluate applicability of machine learning algorithms to problems in finance.
- Ability to implement methods of computational finance and machine learning using object-oriented programming languages and
modern data management systems.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

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

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different finance-related areas, including careers as financial analysts, accountants, bankers, journalists and business analysts. Our graduates are currently working for firms such as Accenture, TNS, RBS, Deloitte, and Baker and McKenzie. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to both departments. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major finance employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London. Thus, you will have additional access to a wealth of presentations and networking opportunities which make the most of London’s financial centre.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This degree, offered jointly 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. Read more
This degree, offered jointly 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. This is an attractive advanced qualification, especially suitable if you are seeking employment in asset structuring, product pricing or risk management, among other fields.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msccomputationalfinance(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy, in particular of financial services and insurance. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will learn modern quantitative finance and computational methods for financial modeling. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world

Department research and industry highlights

- The departments have expertise in a wide set of areas in Computer Science and in Economics, and the topics taught reflect these areas of excellence.

- Computer Science hosts one of strongest research groups in Machine Learning (the science of systems that learn from data).

- In the most recent Research Assessment Exercise (RAE 2008), Computer Science ranked 11th and Economics ranked 8th for their research output.

- Computer Science is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- Computer Science has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Your placement will take up to one year and, if you are an overseas student, your visa will cover the two years of the programme. The placement attracts a salary and is assessed as part of your degree. You will be assigned a supervisor by the host company, who is responsible for directing your work. You will be assigned an academic supervisor, who visits to check if you are integrating successfully and the type of work being undertaken is appropriate, and supports you in general during your placement. If you cannot or decide not to take a placement, you revert to the normal one-year degree.

On completion of the course graduates will have:

Throughout your degree, you will have the opportunity to acquire the following skills:

- Knowledge of the working of financial markets and their role in the context of global economy.
- Knowledge of modern mathematical and computational techniques used in finance.
- Knowledge of key ideas, principles, and methods of machine learning and their applications in finance.
- Ability to apply methods of computational finance to practical problems in computational finance, including pricing of derivatives and risk assessment.
- Ability to analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems; to critically evaluate validity and practicality of results.
- Ability to analyse and critically evaluate applicability of machine learning algorithms to problems in finance.
- Ability to implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

Assessment

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

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different finance-related areas, including careers as financial analysts, accountants, bankers, journalists and business analysts. Our graduates are currently working for firms such as Accenture, TNS, RBS, Deloitte, and Baker and McKenzie. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to both departments. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major finance employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London. Thus, you will have additional access to a wealth of presentations and networking opportunities which make the most of London’s financial centre.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This degree, offered by the Department of Computer Science, will teach you both the foundational aspects and the practical skills that prepare you for handling… Read more
This degree, offered by the Department of Computer Science, will teach you both the foundational aspects and the practical skills that prepare you for handling and analysing different types of data in different fields, thus responding to the needs of a huge variety of companies and organisations, from retailers such as Tesco or Amazon, to manufacturers like BMW, to health-care providers, and to public administration.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscdatascienceandanalytics.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will acquire both the foundational knowledge and the practical skills that prepare you for handling and analysing different types of data in different fields, thus responding to the needs of a huge variety of companies and organisations from retailers such as Tesco or Amazon, to manufacturers like BMW, health-care providers, or public administration. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning – the science behind ‘Big Data’ – is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liason Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).
Please visit our websitefor additional information on this degree.

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

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

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This degree, offered by the Department of Computer Science, will teach you both the foundational aspects and the practical skills that prepare you for handling… Read more
This degree, offered by the Department of Computer Science, will teach you both the foundational aspects and the practical skills that prepare you for handling and analysing different types of data in different fields, thus responding to the needs of a huge variety of companies and organisations, from retailers such as Tesco or Amazon, to manufacturers like BMW, to health-care providers, and to public administration.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscdatascienceandanalytics(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will acquire both the foundational knowledge and the practical skills that prepare you for handling and analysing different types of data in different fields, thus responding to the needs of a huge variety of companies and organisations from retailers such as Tesco or Amazon, to manufacturers like BMW, health-care providers, or public administration. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning – the science behind ‘Big Data’ – is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Your placement will take up to one year and, if you are an overseas student, your visa will cover the two years of the programme. The placement attracts a salary and is assessed as part of your degree. You will be assigned a supervisor by the host company, who is responsible for directing your work. You will be assigned an academic supervisor, who visits to check if you are integrating successfully and the type of work being undertaken is appropriate, and supports you in general during your placement. If you cannot or decide not to take a placement, you revert to the normal one-year degree.

On completion of the course graduates will have:
Throughout your degree, you will have the opportunity to acquire the following skills:

- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

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.

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant.

Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning.aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.

Assessment

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

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

Read less
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies. Read more
This degree, offered by the Department of Computer Science, allows you to develop a deeper understanding of Machine Learning – the science of systems that can learn from data – which companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.

As part of the course, you will take an industrial placement, where you will gain valuable experience by putting your knowledge and skills into practice.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/mscmachinelearning(yearinindustry).aspx

Why choose this course?

- Big Data is now part of every sector and function of the global economy. Planning and strategic decision-making processes rely on large pools of data that need to be captured, aggregated, stored, and analysed.

- You will gain in-depth knowledge and practical skills in Machine Learning techniques, which are used by companies such as Facebook, Google, Microsoft and Yahoo to develop the next generation of search and analysis technologies. People with this set of skills are in short supply and high demand.

- You will have the opportunity to choose options among an exciting range of topics in Computer Science, Economics, Information Security, Management and Mathematics.

- You will also be well prepared to pursue studies at PhD level, which several companies prefer for their research laboratories and more advanced roles.

- Taking a placement is an excellent opportunity to gain industrial experience (which gives you an extra edge when applying for jobs in the future) and acquire skills that can only be fully picked up in a work environment.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Royal Holloway is located in the ‘M4 corridor’, west of London, a major high-technology hub also called ‘England’s Silicon Valley’.

- Royal Holloway is a very prestigious university in which to study. We are ranked not only as one of the 16 most beautiful universities in the world, but also one of the best: in 2012/13, the Times Higher Education World University Rankings placed the College 15th in the UK, 45th in Europe and 119th in the world.

Department research and industry highlights

- The excellence of our research in Machine Learning is recognized worldwide, and the topics taught reflect that excellence.

- In the most recent Research Assessment Exercise (RAE 2008), the Department ranked 11th among UK Computer Science departments for its research output.

- The Department is ranked third in the UK for graduate employability by the Times Good University Guide 2013.

- The Department has an Industrial Liaison Board that comprises senior representatives from Microsoft, Cognex, CSC, Bank of America Merrill Lynch, Kalido, Bathwick Group, Pentatonix, Blackrock, Oracle, Investec and QubeSoft.

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. You then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

On completion of the course graduates will have:
- A highly analytical approach to problem solving.
- A strong background in data modelling and business intelligence.
- Knowledge of computational and statistical data analysis.
- A background in machine learning, statistics, and data mining.
- Ability to develop, validate, and use effectively machine learning models and statistical models.
- Ability to apply machine learning and data mining techniques to Information Retrieval and Natural Language Processing.
- Knowledge of and ability to work with software to automate tasks and perform data analysis.
- Knowledge of and ability to work with structured, unstructured, and time-series data.
- Ability to extract value and insight from data.
- Knowledge of and ability to work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, neural networks.
- Appreciation and knowledge of non-statistical approaches to data analysis and machine learning.
- Ability to work with software packages such as MATLAB and R.
- Knowledge of and ability to work with relational databases (SQL), non-relational databases (mongodb), as well as with Hadoop/pig scripting and other big data manipulation techniques.
- Knowledge of and ability to work with Python, Perl, and Shell Scripting.
- Work experience and appreciation of how your work fits into the organizational and development processes of a company.

Assessment

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

Employability & career opportunities

Our graduates are among the most employable in the UK – we rank third in the UK for graduate employability – and, in recent years, have entered many different Computer Science-related roles including network systems design and engineering, web development and production. Other graduates choose to enter careers with a management or financial slant. Our graduates have found employment at a wide range of organisations including Logica, British Telecom, British Aerospace, Microsoft, Amazon.com, American Express, Sky and Orbis Technology. At the same time, this course also equips you with a solid foundation for continued PhD studies.

Your careers ambitions are supported by our College Careers Service, located right next door to the Department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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The innovative Business Information Systems course provides you with sound, theoretically informed and relevant knowledge of modern information and communications technologies and its use in key business and organisational settings. Read more
The innovative Business Information Systems course provides you with sound, theoretically informed and relevant knowledge of modern information and communications technologies and its use in key business and organisational settings. This course is open to those who have not studied management or technology based qualifications previously.

The course has been designed to:
- Respond to the increasing need for greater understanding of the role advanced information and communication technologies plays in the workplace and at home.

- Address the need for managers to understand and appreciate the strategic value of technologies and processes as a source of competitive advantage, both nationally and internationally.

- Enhance learning, employability and reflexivity in line with international educational standards.

Jointly taught by the School of Management and the Department of Computer Science, you will have the opportunity to study a range of elective units, including those from our world-renowned Information Security Group.

See the website https://www.royalholloway.ac.uk/management/coursefinder/mscbusinessinformationsystems.aspx

Why choose this course?

- This programme is a unique joint hybrid offer of courses run by the School of Management and the Department of Computer Science.

- You will explore up-to-date research into new ways of working, enabled by advanced information and communications technology and its profound impact on organisational life in general.

- Industry connections have informed the content and design of the course. External contacts in both academia and industry enrich the programme of seminars and guest lectures, which are an integral part of the course.

- Directly relevant to current business sectors and technology

- Our students come from an international community and with interdisciplinary qualifications and experience. They graduate as ‘hybrid’ managers, equally familiar with business and with technology aspects of modern organisations.

- Technological and business components are integrated to provide a sound, cross-discipline course.

- Teaching incorporates a mix of theory and practice in lectures and in practical, interactive sessions to provide you with the best grounding for post-study employment.

Department research and industry highlights

- There is a high degree of industry involvement in this course. Participant companies include Hewlett Packard, IBM, Enterprise-Rent-A-Car and Arup Communications. These companies take an active interest in the course and form part of the panel that judges end of year student industry project presentations. We also involve other companies as guest lecturers in our sessions and enable our students to get to use latest communication technologies from companies like Tandberg.

- Staff members teaching in this course have undertaken consultancy in the areas of e-government and green IT. They also conduct research in cloud computing, agent technology, artificial intelligence, human computer interaction and others, often involving the course students.

Course content and structure

You will study six core units and and one elective units in Management and one or two in Computer Science over the first two terms. In the third term you will complete a dissertation, giving you the opportunity to analyse a complex problem by combining knowledge of both management and information technologies.

On completion of the course graduates will have:

- the ability to evaluate critically current research and research methodologies within the fields of Management and Business Information Systems and Technologies

- the ability to apply critical methodologies in analysing Management and Business Information Systems and formulating effective solutions to relevant problems concerning IT systems planning and management

- the ability to make well-informed decisions when dealing with both tactical and and strategic issues of IT investment

- appropriate professional levels of attainment in information technology; production and analysis of quantitative data; oral and written communication of complex business information to both professional and non-specialist audiences; independent and team-working skills.

Assessment

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

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different business information systems-related areas, including:
- Business Analyst at Ford Motor Company

- Information Security Consultant at Barclays

- SAP HR Functional Consultant at Satyam Computer Services

- Business Analyst at Oracle

- Technology Consultant at Hewlett Packard

- Microsoft Dynamics CRM Applications Analyst at Whitbread

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT). The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT).

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthings.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Assessment

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

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry.

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthingsyearinindustry.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation. The placement is assessed as part of the Year-in-Industry degree.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Distributed and networked computation is now the paradigm that underpins the software-enabled systems that are proliferating in the modern world, with huge impact in the economy and society, from the sensor and actuator networks that are now connecting cities, to cyberphysical systems, to patient-centred healthcare, to disaster-recovery systems. Read more
Distributed and networked computation is now the paradigm that underpins the software-enabled systems that are proliferating in the modern world, with huge impact in the economy and society, from the sensor and actuator networks that are now connecting cities, to cyberphysical systems, to patient-centred healthcare, to disaster-recovery systems.

This new Masters course will educate and train you in the fundamental principles, methods and techniques required for developing such systems. Given the number of elective modules offered, you will be able to acquire further skills in one or more of Cloud Computing, Data Analytics and Information Security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility configured to run the Hadoop MapReduce stack.

A Year in Industry option is also available for this course.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msc-distributed-and-networked-systems.aspx

Why choose this course?

This course will develop a highly analytical approach to problem solving and a strong background in distributed and networked systems, fault-tolerance and data replication techniques, distributed coordination and time-synchronisation techniques (leader-election, consensus, and clock synchronisation), data communication protocols and software stacks for wireless, sensor, and ad hoc networking technologies in virtualisation, and cloud computing technologies.

The course develops an advanced understanding of principles of failure detection and monitoring, principles of scalable storage, and in particular NoSQL technology.

Students will acquire the ability to:
- apply well-founded principles to building reliable and scalable distributed systems
- analyse complex distributed systems in terms of their performance, reliability, and correctness
- design and implement middleware services for reliable communication in unreliable networks
- work with state-of-the-art wireless, sensor, and ad hoc networking technologies
- design and implement reliable data communication and storage solutions for wireless, sensor, and ad hoc networks
- detect sources of vulnerability in networks of connected devices and deploy the appropriate countermeasures to information security threats.
- enforce privacy in “smart” environments
- work with open source and cloud tools for scalable data storage (DynamoDB) and coordination (Zookeeper)
- work with modern network management technologies (Software-Defined Networking) and standards (OpenFlow)
- design custom-built application-driven networking topologies using OpenFlow, and other modern tools
- work with relational databases (SQL), non-relational databases (MongoDb), as well as with Hadoop/Pig scripting and other big data manipulation techniques.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.
We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.
We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. If you are in the Year-in-Industry pathway, you then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Core course units are:
Interconnected Devices
Advanced Distributed Systems
Wireless, Sensor and Actuator Networks
Individual Project

Elective course units are:

Computation with Data
Databases
Introduction to Information Security
Data Visualisation and Exploratory Analysis
Programming for Data Analysis
Semantic Web
Multi-agent Systems
Advanced Data Communications
Machine Learning
Concurrent and Parallel Programming
Large-Scale Data Storage and Programming
Data Analysis
On-line Machine Learning
Smart Cards, RFIDs and Embedded Systems Security
Network Security
Computer Security
Security Technologies
Security Testing
Software Security
Introduction to Cryptography

Assessment

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

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different [department]-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

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The electronic handling of information is one of the defining technologies of our age. Enormous volumes of information are routinely stored and transmitted worldwide and most aspects of our daily lives would come to a halt should the information infrastructure fail. Read more
The electronic handling of information is one of the defining technologies of our age. Enormous volumes of information are routinely stored and transmitted worldwide and most aspects of our daily lives would come to a halt should the information infrastructure fail.

However, with the benefits deriving from the ability to automatically manage so much information, come major threats to businesses, governments and individuals. These threats include possible fraud through information manipulation, deliberate damage to stored and transmitted information, and blackmail associated with the threat of damage.

The field of Information Security, namely the study of countermeasures to these real and serious threats, has grown up very rapidly in recent years. The subject embraces a range of technologies such as cryptography, computer security, and fraud detection, and also includes the study of how security can best be managed.

This advanced course is taught by the Information Security Group (ISG), and security experts from industry. It is designed to produce a comprehensive education in the technical, legal and commercial aspects of Information Security.

See the website https://www.royalholloway.ac.uk/isg/coursefinder/mscinformationsecurity.aspx

Why choose this course?

- This pioneering course was the first of its kind in the world. Our Information Security Group (ISG) was recognised in 1998 when the College was awarded a Queen’s Anniversary Prize for the ISG’s work. The citation read “This pioneering Group provides a unique national resource for the training of information security specialists and the development of highly secure communications and computer systems. It offers world-leading independent expertise in a field of crucial importance where trust and integrity are paramount.”

- As this course was the first of its kind, we consulted with more than 20 companies and Government departments to ascertain what they felt such a degree course should contain. Many of these organisations have maintained close links with the department and, in a typical year, you would benefit from lectures or seminars from up to 50 guest speakers.

- Having an offering that is up to date and relevant to potential employers is a key theme to all our activities. Therefore, in addition to our comprehensive syllabus and accompanying seminars, you will be offered some cutting-edge optional units.

- You will have access to virtualization software from the ISG Lab in which you can experiment with network security settings and concepts introduced in these units. As well as the general purpose lab, there is also a Penetration Testing Laboratory and the Smart Card Centre where specialist equipment and tools may be accessed for those who may be undertaking a practical project in these areas.

- The ISG also recognises the standing of the CISSP qualification in the workplace. As a result we have established an arrangement with (ISC)2 whereby you will attend an intensive two-day CISSP revision course at Royal Holloway and then sit the associated exam on campus.

- Our cryptographers have close links with Bletchley Park and many students visit that historic site during their studies.

Department research and industry highlights

The ISG is an interdisciplinary research group conducting internationally-leading research in all areas of information security:

- device and system security (including security of portable devices, smart cards, smart tokens and embedded systems)

- protection of evolving networks (including wireless, mobile, ad hoc and ubiquitous networks)

- trusted computing

- security infrastructure provision (including protection of critical national infrastructure and grid security)

- socio-technical studies in information security (including both organisational information security research and sociological research in the wider "Information Society" context)

- application security (including identity management and software security)

- fundamental security technologies (including cryptography, cryptographic protocols, and authentication technologies).

Our breadth of coverage, coupled with our size, distinguished educational and academic track record, and long-standing and deep engagement with industry, makes the ISG a unique research group in the UK.

On completion of the course graduates will have a solid foundation in:
- the essential concepts, methods and approaches of information security

- the main security issues in the development of digital business activities

- the technical, legal and commercial issues that need to be addressed when assessing the information security needs of an organisation

- the organisational and personal issues that need to be addressed when implementing information security within an organisation

- the potential sources of vulnerability within an information system and the possible implications of failing to counter these with adequate security controls

- the appropriate countermeasures to information security threats and the likely implications of their adoption

- the relevance and impact of new developments in information security threats, technologies and controls.

Assessment

Assessment is carried out by written examinations (in the four core and two elective units) and by completing the MSc Project.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different information security-related areas, including banking, telecommunications, large security consultancies, public utilities, and the retail sector. This taught Masters course also equips postgraduate students with a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time and postgraduate degrees (campus based courses) are made on the Royal Holloway admissions webpages https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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