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Computer Science×

Queen Mary University of London, Full Time Masters Degrees in Computer Science

We have 28 Queen Mary University of London, Full Time Masters Degrees in Computer Science

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This MSc programme offers you the opportunity to select your own range of advanced study, chosen from a wide range of areas of computer science in a variety of application areas. Read more
This MSc programme offers you the opportunity to select your own range of advanced study, chosen from a wide range of areas of computer science in a variety of application areas. The course is multi-disciplinary and, in addition to computer science, can optionally involve aspects of cognitive psychology, artificial intelligence, bioinformatics and sociology.

The course is aimed at preparing you both for research study and for specialist employment in the software industry and in spheres such as broadcasting, multimedia production, consumer electronics and IT equipment manufacturing.

Course content
You will take eight taught modules delivered over two twelve-week semesters and undertake a substantial project during the summer, which may be in conjunction with an industrial research partner. The taught modules offered include a number of core units and a range of specialist study options to choose from so that you can learn more about the topics that interest you.

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This MSc programme offers a broad range of advanced study options, with modules taken from a variety of application areas. It is multidisciplinary and, in addition to computer science, you may choose options in which computer science intersects with other fields. Read more
This MSc programme offers a broad range of advanced study options, with modules taken from a variety of application areas. It is multidisciplinary and, in addition to computer science, you may choose options in which computer science intersects with other fields. The programme prepares you for a wide range of careers depending on your selection of modules studied. Typical jobs after graduation include advanced programmer, software development and support, software engineer, product designer/developer, systems analyst, interface/interaction designer, database developer, and other specialist employment based on your selected study areas.

Programme outline

Modules can include:

Introduction to Computer Vision
XML and Structured Documents
Advanced Program Design
Machine Learning
Design for Human Interaction
Program Specifications
Advanced Database Systems & Technology
Distributed Systems and Security
Introduction to Law for Science and Engineering

Techniques for Computer Vision
The Semantic Web
Information Retrieval
Mobile Services
Security and Authentication
Real Time & Critical Systems
Business Technology Strategy
Interactive Systems Design
Software Analysis and Verification
Software Risk Assessment
C++ for Image Processing


Please note that module availability is subject to change.

Recent graduate destinations

* Support Engineer, Computer Assets
* Analyst, Credit Suisse First Boston
* Business Analyst, Norton Rose
* Queen Mary, University of London
* Tesco Plc
* The Open University

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The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more
The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

Allow you to personalise your programme through a wide range of employment-relevant module choices.
Build your links with industry and potential employers, we have excellent links with industry, working together on commercial and research projects.

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Read less
The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more
The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

-Allows you to personalise your programme through a wide range of employment-relevant module choices.
-Builds your links with industry and potential employers, we have excellent links with industry, working together on commercial and research projects.
Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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(One year full-time, two years part-time). Our MSc in Computer Science by Research involves an extended (one-year) individual research project carried out as part of one of our established research groups, combined with selected taught modules. Read more
(One year full-time, two years part-time)

Our MSc in Computer Science by Research involves an extended (one-year) individual research project carried out as part of one of our established research groups, combined with selected taught modules.

This programme offers you the chance to undertake an advanced masters programme through an extended research project. The programme is suitable for outstanding students who have an interest in advanced research-based study in one of our research specialisms: Computer Vision; Interaction, Media and Communication; Risk Information Management; Computer Science Theory.

The MSc by Research programme will give you solid theoretical and practical research competences in your chosen field of study and will enhance your employability. Successful completion of the programme may also provide a route to further study at doctoral level or for a research and development position in industry.
Programme outline

You will join one of our research groups, taking four selected taught modules and completing an extended research project. You will have the opportunity to develop further research and technical skills and to be able to demonstrate a level of independence that is greater than developed on a purely taught programme.
Assessment

All students are required to take written examinations in May/June. The MSc requires that a satisfactory research project should be completed. A mark of 50 per cent or more must be attained in all components.

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This MSc programme involves an extended (one-year) individual research project. The course is suitable for excellent students who have an interest in advanced research-based study in one of our research specialisms. Read more
This MSc programme involves an extended (one-year) individual research project. The course is suitable for excellent students who have an interest in advanced research-based study in one of our research specialisms:

Computer Vision;
Information Retrieval;
Interaction, Media and Communication;
Logic and Semantics; and
Risk Assessment and Decision Analysis.

You will also undertake four selected study topics. You will have the opportunity to develop further research and technical skills and to be able to show a demonstrable level of independence, which is greater than that provided in a purely taught course structure.

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The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. Read more
The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. The pervasive nature of computing coupled with the ever increasing demand for improved products and services drives the discovery of innovative solutions through the use of information systems. This has led to a critical dependence emerging between computing and practically all industries.

Graduates and engineers who are able to fully exploit the potential that computing and information systems offer within a range industries including, Retail, Manufacturing, Health, and Communications; are highly sought after. If you are looking to further your employment options in your current industry, but have little or no technical experience, then this programme is for you.

* This programme is suited to students from a non-IT background or with little prior technical experience who want to further enhance or or change career focus, to widen employment opportunities in a vast selection of computing related industries and sectors.
* Designed for non-IT professionals who want to develop a firm technical foundation in the latest industry relevant programming languages and software development techniqus (agile, which can open up more technical and senior level positions in their current industry.
* Guided by academics with an extensive spectrum of industrial experience, the programme introduces you to the core aspects of computing and allows you to choose from a variety of optional specialist modules, such as Mobile Devices and Social Networks, Business Technology Strategy and Graphical User Interface design, developing both your practical and theoretical skills.
* The core modules introduce aspects of computing, including a double module in object-oriented programming (using Java) and a double module in information systems.
* These core modules are supplemented by optional specialist modules covering a broad range of subjects relevant to the software industry, such as Network Planning, Finance and Management, Entrepreneurship in Information Technology and Decision and Risk.
* Your project work will typically involve the design and implementation of a significant piece of software within your chosen specialism. Projects undertaken for external organisations focusing on an industrial or commercial application encouraged.
* You will learn about and develop extensive technical knowledge of the latest developments in new languages and tools for web systems (XML, Advanced databases, Semantic web).
* This intensive one year programme is aimed at students without a background in Computer Science � it is a conversion course for those who want a career in computing.

Why study with us?

Queen Mary has a prestigious history in computing and electronic engineering, we had one of the first Computer Science Departments in the country, and The School of Electronic Engineering and Computer Science is rated in the top 20 universities in the UK for studying computer science and electronic engineering.

The best things I have found about the course have been the breadth of content available and the quality of teaching.
Anuruddha Jaithirtha

* This programme is available part-time
* It permits students to follow a technical or business focus
* There is a wide range of employment-relevant module choices
* Early coverage of Networks in core modules
* There are lectures and laboratories specific to students on this programme, a number of modules have invited talks from commercial and other organisations
* Up-to-date modules in real-time and critical systems, functional programming and security, intelligent and multi-agent systems (such as Siri), and web-based document databases

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The internet has developed at an astounding rate, connecting people in ways that we could never have imagined. On this programme you will study the advanced communications theory that underpins the science of networking, focusing on physical layer network communications, information theory and coding. Read more
The internet has developed at an astounding rate, connecting people in ways that we could never have imagined. On this programme you will study the advanced communications theory that underpins the science of networking, focusing on physical layer network communications, information theory and coding.

This new programme is for students who want to pursue a career shaping and defining the new generation of converged networks, responding to the rapid developments in telecommunication systems, such as social networking; seamless mobility; mobile data and the proliferation of applications for mobile and handheld devices. It will educate the next generation of network engineers in the fundamental science, mathematics and key technologies that underpin global networking.

This programme will:

-Provide an in-depth understanding of the key issues in next generation, all-packet networking.
-Cover quality of service-enabled transport; support for generalized mobility; ubiquitous provision of services to users; core network consolidation.
-Provide advanced communications theory to underpin the science.
-Address probabilistic methods for network performance evaluation, and network security.
-Provide an in-depth treatment of mobile networks from WCDMA 3G to LTE and LTE-Advanced.
-Address the new areas of sensor networks and Internet of Things.
-Teach you Java programming.
-Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Why study your MSc in Telecommunication Systems at Queen Mary?

The School of Electronic Engineering and Computer Science is rated in the top 20 universities in the UK for studying computer science and electronic engineering. We are internationally recognised for our pioneering and ground-breaking research, and innovative public engagement programme.

This new programme responds to the rapid developments in telecommunication systems, such as social networking; seamless mobility; mobile data and the proliferation of applications for mobile and handheld devices.
The programme teaches the Java programming foundations for network and services design, provides an in-depth treatment of the technological foundations of converged, all-packet networks, and current mobile networks from WCDMA 3G to LTE and LTE-Advanced.

It will enable you to develop an extensive understanding of 21st Century networks, current mobile and WLAN technologies, software for network and services design, network modelling, sensors and the Internet of Things, security and authentication, mobile services, next generation mobile technologies.

We have a long history of successfully offering postgraduate programmes in Telecommunications and in Wireless Networks.
We have recently recruited new staff who are international experts in the fields of converged all-IP networks with particular knowledge in modelling, measurements and QoE, in middleware and in wireless networking.
As well as teaching you, lecturers do research in their various fields of expertise. Being taught by someone who is engaged in potentially world-changing research ensures that lectures are fully up-to-date.
Facilities

The School of Electronic Engineering and Computer Science offers taught postgraduate students their own computing laboratory. MSc students have exclusive use of the top floor in our purpose-built, climate controlled, award winning informatics teaching laboratory (ITL) outside of scheduled laboratory sessions. The ITL hosts over 250 state-of-the-art PCs capable of multimedia production and several laser printers. In addition, there are video conference facilities, seminar rooms, and on-site teaching services and technical support. There are also a number of breakout spaces available to students with full wi-fi access allowing you use your own mobile devices.

The ITL is primarily used for taught laboratory sessions and regularly hosts research workshops and drop-in lab facilities. For postgraduate students on taught and research degrees there are specialist laboratories to use for carrying out research. Our augmented human interaction (AHI) laboratory combines pioneering technologies including full-body and multi-person motion capture, virtual and augmented reality systems and advanced aural and visual display technologies. We also have specialist laboratories in multimedia; telecommunication networks; and microwave antennas. In addition to these spaces, PhD students have generous study space in our research laboratories. In 2011 we completed the £2m development of new experimental facilities in Antennas and Media and Arts Technology. We formed the Interdisciplinary Informatics Hub in Collaboration with the Schools of Biological and Chemical Sciences and Mathematical Sciences. These laboratories provided a meeting place for postgraduates from the three Schools to interact and exchange ideas.

Read less
The internet has developed at an astounding rate, connecting people in ways that we could never have imagined. On this programme you will study the advanced communications theory that underpins the science of networking, focusing on physical layer network communications, information theory and coding. Read more
The internet has developed at an astounding rate, connecting people in ways that we could never have imagined. On this programme you will study the advanced communications theory that underpins the science of networking, focusing on physical layer network communications, information theory and coding.

This programme prepares you for a career in telecommunications and its applications, for example the integration of voice and data applications, within a business context. The programme combines in-depth coverage of the main technical aspects of telecommunications with advanced business modules. At the end of the programme you will be equipped with the skills needed for a wide range of jobs in the expanding telecommunications industry, with emphasis on those that are relevant to business/financial needs, particularly in the small business and start-up sector.

This programme will:

-Provide an in-depth understanding of the key issues in next generation, all-packet networking
-Cover quality of service-enabled transport; support for generalized mobility; ubiquitous provision of services to users; core network consolidation
-Provide advanced communications theory to underpin the science
-Address probabilistic methods for network performance evaluation, and network security
-Provide an in-depth treatment of mobile networks from WCDMA 3G to LTE and LTE-Advanced
-Address the new areas of sensor networks and Internet of Things
-Teach you Java programming
-Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Why study your MSc in Telecommunication Systems at Queen Mary?

The School of Electronic Engineering and Computer Science is rated in the top 20 universities in the UK for studying computer science and electronic engineering. We are internationally recognised for our pioneering and ground-breaking research, and innovative public engagement programme.

This new programme responds to the rapid developments in telecommunication systems, such as social networking; seamless mobility; mobile data and the proliferation of applications for mobile and handheld devices.
The programme teaches the Java programming foundations for network and services design, provides an in-depth treatment of the technological foundations of converged, all-packet networks, and current mobile networks from WCDMA 3G to LTE and LTE-Advanced.

It will enable you to develop an extensive understanding of 21st Century networks, current mobile and WLAN technologies, software for network and services design, network modelling, sensors and the Internet of Things, security and authentication, mobile services, next generation mobile technologies.
-We have a long history of successfully offering postgraduate programmes in Telecommunications and in Wireless Networks.
-We have recently recruited new staff who are international experts in the fields of converged all-IP networks with particular knowledge in modelling, measurements and QoE, in middleware and in wireless networking.
-As well as teaching you, lecturers do research in their various fields of expertise. Being taught by someone who is engaged in potentially world-changing research ensures that lectures are fully up-to-date.

Facilities
The School of Electronic Engineering and Computer Science offers taught postgraduate students their own computing laboratory. MSc students have exclusive use of the top floor in our purpose-built, climate controlled, award winning informatics teaching laboratory (ITL) outside of scheduled laboratory sessions. The ITL hosts over 250 state-of-the-art PCs capable of multimedia production and several laser printers. In addition, there are video conference facilities, seminar rooms, and on-site teaching services and technical support. There are also a number of breakout spaces available to students with full wi-fi access allowing you use your own mobile devices.

The ITL is primarily used for taught laboratory sessions and regularly hosts research workshops and drop-in lab facilities. For postgraduate students on taught and research degrees there are specialist laboratories to use for carrying out research. Our augmented human interaction (AHI) laboratory combines pioneering technologies including full-body and multi-person motion capture, virtual and augmented reality systems and advanced aural and visual display technologies. We also have specialist laboratories in multimedia; telecommunication networks; and microwave antennas. In addition to these spaces, PhD students have generous study space in our research laboratories. In 2011 we completed the £2m development of new experimental facilities in Antennas and Media and Arts Technology. We formed the Interdisciplinary Informatics Hub in Collaboration with the Schools of Biological and Chemical Sciences and Mathematical Sciences. These laboratories provided a meeting place for postgraduates from the three Schools to interact and exchange ideas.

Read less
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after. Read more
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after.
If your first degree contained little or no technical experience, but you’re now looking to change direction or enhance your employability by developing your skills in this area, then this programme (commonly referred to as a ‘conversion course’) is for you.

Guided by academics with a wealth of industrial experience, this is an intensive MSc programme for highly motivated graduates of any discipline with little prior experience of computer science.

Why study your MSc in Computer Science at Queen Mary? We’re in the top percentile of universities in the world (Times Higher Education and QS World University Ranking).

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft

Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.

Industrial projects scheme - To support industrial experience development, you can to do your final project in collaboration with an industrial partner.

Read less
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after. Read more
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after.
If your first degree contained little or no technical experience, but you’re now looking to change direction or enhance your employability by developing your skills in this area, then this programme (commonly referred to as a ‘conversion course’) is for you.

Guided by academics with a wealth of industrial experience, this is an intensive MSc programme for highly motivated graduates of any discipline with little prior experience of computer science.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Read less
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after. Read more
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after.

If your first degree contained little or no technical experience, but you’re now looking to change direction or enhance your employability by developing your skills in this area, then this programme (commonly referred to as a ‘conversion course’) is for you.

Guided by academics with a wealth of industrial experience, this is an intensive MSc programme for highly motivated graduates of any discipline with little prior experience of computer science.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Read less
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Read more
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. As a leading research School, we have excellent links with industry. We also employ dedicated staff to help you arrange your year in industry. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements. We are unable to guarantee all students secure an industrial placement, as our industrial partners conduct their own employment application and interview processes.

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.

Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

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A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. Read more
A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. This is now a reality: parts of buildings can now interact with each other, smart vehicles can be autonomously controlled and humans can interact with all these using smart phones and wearables.
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer.

The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More ‘things’ are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of ‘things’ (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.

The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can:

-engineer new interactive products – things;
-acquire, fuse and process the data they collect from things;
-interact with, and interconnect these things as part of larger, more diverse, systems.
-The School of Electronic Engineering and Computer Science draws on its strengths of highly rated R&D centres of excellence in core subject areas comprising Networks, Cognitive Science, Antennas together with interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).

The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Read less
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance. Read more
This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to
: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Why study with us?

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.

You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.

You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.

We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf.

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