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Masters Degrees (Industrial Experience)

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Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. Read more
Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk.

This programme will:

-Teach you advanced techniques in program design
-Allow you to study key issues of interactive system design
-Teach you the mathematical foundations of software and the practical application of these techniques
-Focus on discovering ways of mitigating risk in large scale software engineering projects
-Enable you pursue roles in areas such as software design and engineering, web development, project management and IT consulting.
-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.

We have a new MSc Software Engineering and Security pathway to the MSc Software Engineering degree. If you are interested in this pathway you need to apply for the MSc Software Engineering programme and take the pre-requisite modules and then you would be able to graduate with the MSc Software Engineering and Security.

Security, authentication and identity management have grown substantially in importance in recent years, and there is significant demand in both the commercial and national/local government sectors for software engineers with a good grasp of these areas hence introducing a pathway in Security.

NB: Students will need to take and pass the following modules in order to be eligible for the pathway title MSc in Software Engineering with Security.

ECS726P - Security and Authentication (semester 2)

ECS760 - Distributed Systems and Security semester 2)

ECS715P - Program Specifications (semester 1)

ECS737P - Software Analysis and Verification (semester 2)

ECS738 - Bayesian Decision and Risk Analysis (semester 2)

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
Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. Read more
Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk.

This programme will:

-Teach you advanced techniques in program design
-Allow you to study key issues of interactive system design
-Teach you the mathematical foundations of software and the practical application of these techniques
-Focus on discovering ways of mitigating risk in large scale software engineering projects
-Enable you pursue roles in areas such as software design and engineering, web development, project management and IT consulting.
-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.

We have a new MSc Software Engineering and Security pathway to the MSc Software Engineering degree. If you are interested in this pathway you need to apply for the MSc Software Engineering programme and take the pre-requisite modules and then you would be able to graduate with the MSc Software Engineering and Security.

Security, authentication and identity management have grown substantially in importance in recent years, and there is significant demand in both the commercial and national/local government sectors for software engineers with a good grasp of these areas hence introducing a pathway in Security.

NB: Students will need to take and pass the following modules in order to be eligible for the pathway title MSc in Software Engineering with Security.

ECS726P - Security and Authentication (semester 2)

ECS760 - Distributed Systems and Security semester 2)

ECS715P - Program Specifications (semester 1)

ECS737P - Software Analysis and Verification (semester 2)

ECS738 - Bayesian Decision and Risk Analysis (semester 2)

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
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. Read more
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 Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it.

A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.

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.

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
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.

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 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
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. Read more
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. These strengths include world-leading research in: networks, antenna design and electromagnetics, computer vision and computer theory. This conversion masters programme features a common first semester of: analogue electronics, digital systems design (incorporating an on-line pre-sessional module in digital circuit design), control systems, embedded systems (incorporating C programming). In the second semester the electronic engineering stream features choices from: advanced control systems, critical systems, integrated circuit design, real-time DSP, while the electrical engineering stream features choices from: bioelectricity, microwave and millimeterwave communication systems, power electronics, and electrical power engineering. Both streams have a Project / industrial project during the 3rd (summer) semester.

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
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
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
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.

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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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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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.

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

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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.

The MSc in Sound and Music Computing responds to a growing skills shortage in industry for engineers and computer scientists trained specifically in sound and music processing, as digital media become ever more advanced and ubiquitous.

Developed by the acclaimed Centre for Digital Music (C4DM), this programme offers you a broad range of study options in methods of processing, analysis, synthesis and manipulation of musical signals. You will develop the knowledge and skills required for careers in the technical aspects of audio production, sound engineering, broadcasting, intelligent signal processing, computational music analysis, music information retrieval and other areas of sound and music computing. You will acquire an in-depth understanding of data analysis and signal processing techniques related to human speech and hearing, psychoacoustics and masking, and instrument and room acoustics.

The MSc is intended for graduates in a related discipline, who wish to hone and enhance their skills, and for industrialists with experience of sound and music computing, seeking formal qualifications. The taught modules are fully supported with computing and laboratory work.

You will graduate with an understanding of how today's audio and music technology works, possessing the potential to become a pioneer in developing future generations of leading edge music technologies.

This programme will:

Allow you to shape your own programme, by selecting two optional modules per semester to complement the core modules in Sound and Music Computing.
Give you and understanding of how today’s music and audio technology works, but also help you to become a leader in developing the next generation of sound and music computing technology.
Give you an understanding of the design and software development process for music recording, analysis and synthesis for home, studio and live performance environments.
Graduates from our programmes have gone on to work for companies such as Ableton, Last FM and Mix Genius.

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