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Masters Degrees (Industrial Placement)

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Why this course?. Civil engineering develops and improves facilities and services that society needs – from the supply of clean water and energy to the design and construction of roads, railways and stations. Read more

Why this course?

Civil engineering develops and improves facilities and services that society needs – from the supply of clean water and energy to the design and construction of roads, railways and stations. Solving problems of air, land and water pollution and protecting society against natural disasters are also important aspects of civil engineering.

Engineering graduates are in high demand from recruiting companies worldwide.

This 18-month MSc course has been designed to meet the needs of a broad range of engineering industries. As a Masters student, you’ll gain the specialist and generic skills necessary to lead future developments, with practical experience provided by the industrial placement.

The course has a significant design element based on the most up-to-date specialist design guidelines. This includes a major design project that integrates acquired knowledge and acts as a platform for structured self-learning.

This MSc in Civil Engineering with Industrial Placement is suitable for graduates with a background in any discipline of civil engineering. Applicants with a degree in environmental engineering, earth science, mathematics, physics and mechanical engineering may also be considered.

The MSc in Civil Engineering with Industrial Placement has four optional specialist streams:

  • Structural Engineering & Project Management
  • Geotechnical Engineering & Project Management
  • Geoenvironmental Engineering & Project Management
  • Water Engineering & Project Management

Industrial placement or industry-linked project

You'll complete an industry-linked project or industrial placement in the period from June to August. The Department will support you in making applications for industry internships, and will provide project topics with industry partners, for industry-linked projects. Industry-linked projects generally involve a short secondment to industry as part of the project.

You’ll study

You'll take the compulsory module Civil Engineering Design Projects. This module gives you the opportunity to work on real projects. Students currently undertake a renewable energy project. You’ll develop comprehensive and innovative designs that involve structural engineering, geotechnical engineering and water engineering, management, environmental and financial planning.

In additional to the industrial placement you'll also take the compulsory module Research Protocols for Science & Engineering which supports the dissertation project. You also have a wide choice of optional modules.

Following successful completion of the taught component, you’ll undertake a dissertation. If you’re on one of the specialist streams you’ll undertake a research project on a topic related to that stream. The dissertation can be linked to the industrial placement and worked on together with the industrial partner.

New class

Starting in session 2017-18, a new class on Building Information Modelling (BIM) will be available as an option for students who register for this MSc. Knowledge of BIM, a process for creating and managing information on a construction project across the project lifecycle, is sought after by employers.

Facilities

Our £6 million state-of-the-art laboratory facilities are well-equipped with high-technological instrumentation and available space to investigate:

  • environmental & molecular microbiology
  • environmental chemistry
  • analytical chemistry
  • geomechanics & soil quality
  • structural design & material science

Accreditation

The MSc Civil Engineering programme (including the specialist streams except for the water engineering stream) has been fully accredited by Joint Board of Moderators (JBM) as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired a partial CEng accredited undergraduate first degree.

The accreditation of MSc in Civil Engineering with Water Engineering & Project Management will be applied three years after initial launch in 2016.

Course structure

You'll take 210 credits made up of 120 credit taught modules, 30 credits industrial placement and 60 credits dissertation. The 18 months full-time MSc course spans three semesters as follows:

  • Semester 1 – Year 1, January to May - 60 credits of taught classes
  • Industrial placement – Year 1, June to September - 30 credits
  • Semester 2 – Year 1, October to December - Research methods and design project classes and 30 credits of taught classes
  • Semester 3 – Year 2, January to June - 60 credits dissertation

Learning & teaching

Some classes involve fieldtrips and/or lab work. For fieldtrips, you need to wear warm clothing, waterproof jacket/trousers and sturdy shoes/boots (e.g. hiking boots or non-slip wellington boots).

Careers

High-calibre civil engineers are in demand throughout the world. As a graduate you'll have many different career options including:

  • engineering consultancies, where the work normally involves planning and designing projects
  • contractors, where you’ll be managing and overseeing works on-site
  • working for utilities or local authorities
  • working for large companies such as those within oil & gas production, mining, power generation, renewable energy & sustainable infrastructure

For lab work, you’ll need a lab coat.



Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc without a placement or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term, you take taught modules.

Across the spring and summer terms, you’ll work on your Masters Individual Project, either at the University or at a company.

For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or without a placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

For your Masters placement, you work in an industrial setting for at least 12 weeks. We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

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. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements.

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.

Why study your MSc in Software Engineering at Queen Mary?

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.
  • 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 do your final project in collaboration with an industrial partner.

Structure

You will study four taught modules per semester followed by written examinations and the MSc research project (dissertation).

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place.

Year 1

Semester 1 (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  • Big Data Processing
  • Functional Programming
  • Program Specifications

Further options:

  • Introduction to IOT
  • Introduction to Object-Oriented Programming
  • Machine Learning
  • Semi-Structured Data and Advanced Data Modelling

Semester 2 (Maximum of 4 modules to be taken in Semester 2)

Select at least two from:

  • Bayesian Decision and Risk Analysis
  • Interactive Systems Design
  • Real Time & Critical Systems
  • Software Analysis and Verification

Further options from:

  • Advanced Object Oriented Programming
  • Cloud Computing
  • Data Analytics
  • Distributing Systems
  • Mobile Services
  • Parallel Computing
  • Security and Authentication 
  • The Semantic Web

Semester 3

  •  Project

Year 2

  • Industrial Placement Project


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 an integrated placement.

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

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.

Structure

The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

MSc Computing and Information Systems (Conversion) is currently available for one-year full-time study, two years full-time study with industrial experience, or two years part-time study.

You will take four taught modules per semester followed by final examinations and the MSc research project (dissertation).

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Year 1

Semester 1

  • Information Systems
  • IT Programming

Semester 2

  •  Databases

Select three options from:

  • Bayesian Decision and Risk Analysis
  • Business Information Systems
  • Business Technology Strategy
  • Cloud Computing
  • Distributing Systems
  • Graphical User Interfaces
  • Mobile Services
  • Security and Authentication

Semester 3

  • Project 

Year 2

Industrial Placement Project (12 months)



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.

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 Computer Science at Queen Mary?

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 do your final project in collaboration with an industrial partner.

Structure

The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

MSc Computer Science is currently available for one year full-time study, two years full-time study with industrial experience and two years part-time study.

Full-time

You will take four taught modules per semester followed by final examinations and the MSc research project (dissertation).

Undertaking a masters programme is a serious commitment, with weekly contact hours in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Year 1

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  • Functional Programming
  • Introduction to Object-Oriented Programming
  • Semi-Structured Data and Advanced Data Modelling

Further options:

  • Big Data Processing
  • Design for Human Interaction
  • Introduction to Computer Vision
  • Introduction to Law for Science and Engineering
  • Machine Learning
  • Program Specifications

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  • Bayesian Decision and Risk Analysis 
  • Interactive Systems Design
  • Security and Authentication 

Further options from:

  • Advanced Object Oriented Programming
  • Business Technology Strategy
  • Cloud Computing
  • Data Analytics
  • Foundations of Intellectual Property Law and Management
  • Information Retrieval
  • Machine Learning for Visual Data Analytics
  • Mobile Services
  • Natural Language Processing
  • Parallel Computing
  • Real Time & Critical Systems
  • Software Analysis and Verification
  • The Semantic Web

Semester 3

  • Project

Year 2

  • Industrial Placement Project (max 12 months)

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change



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
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.

Programme Outline

The study programme consists of four compulsory and four elective modules. The modules offered by the School of Mathematical Sciences will provide a solid understanding of the principles of mathematical finance. The modules offered within the Schools of Electronic Engineering and Computer Sciences will focus on key aspects of technological implementation.

Full time Study

You will study eight modules in total with an even split across semesters one and two. You will complete a 10,000 word dissertation/research project during semester three.

Full time Study with Industrial Experience

You will study eight modules in total with an even split across semesters one and two. You will complete a 10,000 word dissertation/research project during semester three. Expert staff will support the arrangement of your industrial placement, which will be carried out in the second year of your programme and assessed through the completion of the Industrial Placement Project.

The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. It is a student's responsibility to secure their own placement, but the EECS Placement Team will provide support. The Placement Team source and promote suitable opportunities, assist with applications, and with interview preparation.

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 after you have completed and passed the taught component of the degree and submitted your MSc project. The placement 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.

In the event that you are unable to secure a placement we will transfer you onto the 1 year FT taught programme without the Industrial Experience. This change will also apply to any student visa you hold at the time.

Part time Study

Your programme is delivered across two academic years. You will study four modules in each year of the programme, registering upon two modules per semester to balance your workload.

Our modules are assessed by a mixture of in-term assessment and final examinations. Examinations are held between late April and early June. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the MSc Financial Computing (possibly with Merit or with Distinction).

Structure

Semester 1 - Compulsory

  • ECS793P Introduction to Object-Oriented Programming
  • MTH771P Foundations of Mathematical Modelling in Finance
  • MTH739N Topics in Scientific Computing

Semester 1 - Elective

  • ECS765P Functional Programming
  • ECS765P Big Data Processing
  • ECS708P Machine Learning

Semester 2 - Compulsory

  • MTH777P Financial Programming

Semester 2 - Elective

  • MTH773P Advanced Computing in Finance
  • ECS769P Advanced Object-Oriented Programming
  • ECS786P Parallel Computing
  • MTH774P Portfolio Theory and Risk Management
  • MTH772P Stochastic Calculus and Black Scholes Theory

The Project

Each MSc Financial Computing student is required to complete a 60 credit project dissertation. A typical MSc project dissertation consists of about 30 word-processed pages (10,000 words), securely bound, covering a specific research-level topic in financial computing, usually requiring the student to understand, explain and elaborate on results from one or more journal articles and possibly to implement some industry quality code.

Detailed outlines of each module for MSc Financial Computing are on Queen Mary University of London website.



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Electrical and Electronic Engineering is characterised by the need for continuing education and training. Today, most Electrical and Electronic Engineers require more than is delivered in a conventional four-year undergraduate programme. Read more
Electrical and Electronic Engineering is characterised by the need for continuing education and training. Today, most Electrical and Electronic Engineers require more than is delivered in a conventional four-year undergraduate programme. The aim of the MEngSc (Electrical and Electronic Engineering) programme is to provide advanced coursework with options for a research element or industrial element, and additional professional development coursework. Students choose from a range of courses in Analogue, Mixed Signal, and RF Integrated Circuit Design, VLSI Architectures, Intelligent Sensors and Wireless Sensor Networks, Wireless Communications, Robotics and Mechatronics, Advanced Power Electronics and Electric Drives, Optoelectronics, Adaptive Signal Processing and Advanced Control. A range of electives for the coursework-only stream includes modules in Computer Architecture, Biomedical Design, Microsystems, Nanoelectronics, Innovation, Commercialisation, and Entrepreneurship

Visit the website: http://www.ucc.ie/en/ckr47/

Course Details

The MEngSc (EEE) has three Streams which include coursework only, coursework with a research project, or coursework with an industrial placement. Students following Stream 1 take course modules to the value of 60 credits and carry out a Minor Research Project to the value of 30 credits. Students following Stream 2 take course modules to the value of 60 credits and carry out an Industrial Placement to the value of 30 credits. Students following Stream 3 take course modules to the value of 90 credits, up to 20 credits of which can be in topics such as business, law, and innovation.

Format

In all Streams, students take five core modules from the following range of courses: Advanced Analogue and Mixed Signal Integrated Circuit Design, Advanced RF Integrated Circuit Design, Advanced VLSI Architectures, Intelligent Sensors and Wireless Sensor Networks, Wireless Communications, Robotics and Mechatronics, Advanced Power Electronics and Electric Drives, Optoelectronics, and Adaptive Signal Processing and Advanced Control. In addition, students following Stream 1 (Research Project) and Stream 2 (Industry Placement) carry out a Research Report. Following successful completion of the coursework and Research Report, students in Streams 1 and 2 carry out a research project or industry placement over the summer months.

Students who choose the coursework-only option, Stream 3, take additional courses in lieu of the project or placement. These can be chosen from a range of electives that includes modules in Computer Architecture, Biomedical Design, Microsystems, Nanoelectronics, Innovation, Commercialisation, and Entrepreneurship.

Assessment

Part I consists of coursework modules and mini-project to the value of 60 credits. These are assessed using a combination of written examinations and continuous assessment. Successful completion of the initial tranche of coursework modules qualifies the student to progress to Part II, the research project, industrial placement, or additional coursework to the value of 30 credits in the cases of Streams 1, 2, and 3, respectively.

Placement and Study Abroad Information

For students following Streams 1 and 2, research projects and industrial placements are normally in Ireland. Where the opportunity arises, a research project or work placement may be carried out outside Ireland.

Careers

MEngSc (Electrical and Electronic Engineering) graduates will have a competitive advantage in the jobs market by virtue of having completed advanced coursework in Electrical and Electronic Engineering and, in the case of Streams 1 and 2, having completed a significant research project or work placement.

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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This programme aims at training those who would like to pursue a career in the booming field of Artificial Intelligence (AI). It uniquely covers all five of the hottest AI topics – games, robotics, vision, music, and language – each backed up by a respective research group at QMUL that is world-leading. Read more

This programme aims at training those who would like to pursue a career in the booming field of Artificial Intelligence (AI). It uniquely covers all five of the hottest AI topics – games, robotics, vision, music, and language – each backed up by a respective research group at QMUL that is world-leading. Practical machine learning skill development is at the core of this programme, which is specifically designed to maximise employment potential across a wide spectrum of industrial and academic posts related to AI.

AI is rapidly changing the way we live, work and learn. Both governments and industry have recognised the need for strategic development of AI -- technology giants such as Google, Microsoft and Facebook have each established their own AI research institutes, and the UK government recently announced its £75 million investment in the November 2017 Budget.

There is however a real shortage of AI talents worldwide, both to serve the industry and drive future research. AI jobs are amongst the best paid in industry nowadays – an AI Specialist typically earns among the highest salaries (New York Times, 22nd Oct 2017), while having a solid AI background is strongly desired in multiple research disciplines.

MSc Artificial Intelligence importantly recognises such need for training cutting-edge AI talents, and is specifically designed to maximise student employability on AI-specific jobs.

This programme is:

  • comprehensive: covering all five of the most popular AI topics
  • up-to-date: each topic backed up by a world-leading group with cutting edge research
  • unique: offering Game AI that represents some of the most advanced AI to date (e.g., AlphaGo)
  • practical: focusing on developing practical machine learning skills across all five AI topics.

The programme brings together our teaching, research and industrial contacts to allow students to mix the different AI topics that best suits their personal requirements and future plans. Students will be offered lectures that explain the fundamental AI concepts, universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics. Students will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs. Students will be taught by world-renowned academics in their specific subject areas, and have regular contacts with them throughout the duration of the programme.

Industrial Experience

The industrial placement takes place from the September following the taught part of the MSc for a maximum of 12 months. It is a student's responsibility to secure their own placement, but the EECS Placement Team will provide support. The Placement Team source and promote suitable opportunities, assist with applications, and with interview preparation.

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 after you have completed, passed the taught component of the degree and submitted your MSc project. The placement will provide the opportunity to apply key technical knowledge and skills gained from 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.

In the event that you are unable to secure a placement, we will transfer you onto the 1 year FT taught programme without the Industrial Experience. This change will also apply to any student visa you hold at the time.

Structure

MSc Artificial Intelligence is currently available for one year full-time study or two years part-time study.

Full-time (The programme is organised in three semesters)

Semester 1: Four modules that operate on a 3+1 scheme

3 core modules that cover the foundational machine learning techniques and introduction of Artificial Intelligence for Games (e.g., AlphaGo); and 1 optional module to select from three other AI topics (vision, music and language).

Semester 2: Four modules themed around all five AI topics offered

The module selection allows students to focus on topic-specific research or industry applications for AI. More importantly, these module options allow students to gain advanced and up-to-date knowledge on selected AI topics.

Semester 3:

Students carry out a large project on the AI topic that they want to specialise in, after agreeing on a specific topic with an academic supervisor in the first semester, and completing the preparation phase over the second semester.

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Core modules:

·       Computational Intelligence and Games

·       Machine Learning

·       Data Mining

·       MSc Project module

Option modules:

·       Introduction to Computer Vision

·       Machine Learning for Visual Data Analysis

·       Deep Learning and Computer Vision

·       Music Perception and Cognition

·       Music and Speech Modelling

·       Music Analysis and Synthesis

·       Natural Language Processing

·       Advanced Natural Language Processing

·       Artificial Intelligence

·       Information Retrieval

·       Advanced Robotics Systems

·       Multi-platform Game Development



*All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.



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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.

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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.

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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.

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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.

-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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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.

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