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Masters Degrees (Intelligent)

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Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. Read more
Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.

Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system.

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including:
-The principles by which sensed data are converted into useful information
-The practical aspects of developing intelligent and robotic systems
-Biologically-inspired robots
-Biometrics
-Computational intelligence

Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Computer Vision
-Group Project
-Intelligent Systems and Robotics
-Machine Learning and Data Mining
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Artificial Neural Networks (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-Electronic System Design & Integration (optional)
-Evolutionary Computation and Genetic Programming (optional)
-High Level Logic Design (optional)
-Game Artificial Intelligence (optional)
-Virtual Worlds (optional)
-Natural Language Engineering

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The Intelligent Systems MSc degree course is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques. Read more

The Intelligent Systems MSc degree course is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies including the Chartered Institute for IT (BCS), the Institution of Engineering and Technology and the Institution of Mechanical Engineers (IMechE).
  • Opportunities to focus on topics such as intelligent systems, robotics and management skills while studying theoretical and practical electronic engineering and management topics.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in electronic engineering and related fields.

Description

The Intelligent Systems MSc will prepare you for work developing intelligent control and engineering systems. You will study Artificial Intelligence, Agents and Multi-agent Systems, Pattern Recognition, Computer Vision and Biologically Inspired Methods. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of 15,000 words. 

Course purpose

For graduates in engineering, computing or a related scientific discipline, with a good knowledge of computer programming and mathematics, from this programme you will gain specialist training in designing, building and evaluating intelligent systems using a range of tools and techniques in preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation.

Career prospects

Our graduates have gone on to pursue successful careers in industry, commerce and academia.

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MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility,. Read more

MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility, led by Director and inaugural Chair in Intelligent Mobility Professor Dale Harrow. MA Intelligent Mobility aims to place the RCA in the vanguard of the ‘third age’ of automotive design.

The MA Intelligent Mobility programme will comprise two distinct specialisms: Automotive Transitions and Urban Mobility. Automotive Transitions students will focus on using design thinking to develop innovative forms of transportation, such as autonomous vehicles. Urban Mobility students will focus on designing the systems and frameworks that enable people to move through hyper-connected cities. The programme will also acknowledge and explore solutions for the 80 per cent of people in developing or emerging economies who do not have access to transport.

The programme offers:

  • a strong tutor team with diverse and high-level practitioner experience
  • varied creative and cultural backgrounds within the MA specialisms
  • close ties to the Intelligent Mobility Lab, a new multidisciplinary research centre
  • extensive industrial relationships through sponsored projects, internships, portfolio reviews, trips and bursaries/awards. Recent collaborations have been with organisations including: Audi, Bentley, Citroen, Hitachi Rail Europe, Jaguar, Kia, EXA (aerodynamic software), Sabic and TATA
  • close relationships with other RCA programmes, including Fashion, Textiles, Sculpture and Innovation Design Engineering
  • a west-London location at the heart of a uniquely diverse vehicle, design and cultural environment
  • alumni in numerous top design positions globally.


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The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. Read more
The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. You will gain experience in an exciting wide range of topics, providing you hands-on experience. You will learn about the development of embedded control systems for robots, intelligent algorithms and their application to robotics, communications and systems programming, all with a focus on the practical implementation, both in hardware and simulation. The MSc culminates in a large group project focussed on collective robotic systems, ranging from ground-based units to flying robots. You will have the opportunity to work in a state of the art, dedicated, robotics laboratory for some of your modules and your final project, see the York Robotics Laboratory website for more details on the lab.

The MSc is intended for students who want to learn about robotic and autonomous systems for employment in related industries, or who are seeking a route into a PhD.

The broad aims of the course are to provide:
-A thorough grounding in the use of scientific and engineering techniques as applied to intelligent robotic systems
-A detailed knowledge of the development and deployment of intelligent robotic systems
-A detailed knowledge of the latest developments in intelligent robotics and an ability to reflect critically on those developments
-A detailed understanding of engineering collective robotic systems with emergent behaviours
-Experience of undertaking a substantial group project, on a subject related to research in autonomous robotic systems

Group Project

The aim of this substantial group project is to immerse the students in a life-like scenario of a group of engineers developing a large scale collective robotic system. The project will involve the design, construction and implementation of the control of a heterogeneous collective robotic system, providing students with practical experience of project management and team skills. The system will include both software (such as individual and collective robotic control, low-level programming) and hardware (such as hardware design or customisation) components. The project will culminate in the design and realisation of a collective robotic system that will undergo various test scenarios in the robotics laboratory.

The project preparation will begin towards the end of the Autumn term when groups will be develop a Quality Assurance manual, that will prepare the students to establish effective group policies, procedures and roles for group members, introducing the Quality Assurance processes applied to medium to large projects in industry. The group will be given a scenario and begin establishing requirements and develop outline designs.

In the Summer term, the project will get under way. Groups of 4-6 students will be formed, assigned a target system to design, and provided with a budget. In this term, the students will prepare a design document that will be followed for the remainder of the project. Detailed system specifications will be established and initial prototypes developed. You will make full use of the Robotics Laboratory and spend the vast majority of your time working on robotic systems and attempting to develop an innovative solution to the problem given. Full technical support is available in the laboratory.

A final presentation of each group is done in September where live demos of the system developed have to be provided. This is combined with a group presentation on the work undertaken and contributions made by each individual. Group documentation is submitted along with an individual report.

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Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. Read more
Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.

Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system.

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including:

- The principles by which sensed data are converted into useful information
- The practical aspects of developing intelligent and robotic systems
- Biologically-inspired robots
- Biometrics
- Computational intelligence

Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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As the need and scope for robots in all aspects of society grows, so does the market for those trained in Control and Systems Engineering, especially those with a background in Autonomous and Intelligent Systems. Read more

As the need and scope for robots in all aspects of society grows, so does the market for those trained in Control and Systems Engineering, especially those with a background in Autonomous and Intelligent Systems.

The MSc in Autonomous and Intelligent Systems covers all major aspects of Control and Systems Engineering with an emphasis on system autonomy and intelligence. Autonomous systems is a fast changing area and has applications in a range of modern engineering disciplines including computer science, mechanical engineering, electrical and electronic engineering and materials science engineering.

Push yourself further

Through lab work, you will get hands on experience of working with various types of autonomous and intelligent systems, and have the opportunity to build a system from scratch using the specialist labs in the University.

In your project dissertation, you will be able to pick an area you are passionate about and develop a solution to a real world problem in the area. You will be able to choose from a range of project ideas, including bionic systems, manufacturing lines, autonomous vehicles, or drones. You will get support from your project supervisor - an academic dedicated to helping you with your project - to complete your dissertation.

Make your mark

You could pursue a career with a large international organisation or government department. Our graduates work in sectors such as manufacturing, power generation and sustainable energy, with companies including British Airways, Jaguar Land Rover, NASA, IBM, Rolls-Royce and Unilever.

A masters from Sheffield is the mark of someone with the skills to apply their knowledge in industry, anywhere in the world. Our MSc in Advanced Control and Systems Engineering is accredited by the Engineering Council UK, IET and InstMC. These marks of assurance mean our degrees meet the high standards set by the engineering profession

A Sheffield masters is a strong foundation for a career in industry or research.

Industry links

We have strong links with industrial partners such as Rolls-Royce and BAE Systems. Our industrial partners help us to design our courses, making sure you learn the right skills.

Rolls-Royce has a research and development centre here, using our expertise to explore today’s challenges. Our masters students often work side by side with researchers at these facilities.

A stimulating environment

The 2014 Research Excellence Framework (REF) rates us No 1 in the UK for research output, ahead of Oxford and Cambridge, and No 3 for overall research excellence. Our world-class reputation attracts highly motivated staff and students.

You’ll be taught by staff who work on real-world projects, developing new ideas – for submarines, robots, Formula One and even space exploration. Their approach to teaching is just as innovative: ideas like the award-winning take-home lab kit and e-puck mobile robotics activities help you develop the problem-solving skills you need for a trailblazing career.

Core modules

·        Multivariable Control Systems

·        Agent based modelling and multi-agent systems

·        Data modelling and machine learning

·        Intelligent and Vision Systems

·        Cybersecurity for Control Systems

Teaching and assessment

Our teaching uses lectures, tutorials, laboratory work and individual assignments. All of the lectures and tutorials are just for our systems and control students. This means you form a unique bond as a cohort of colleagues and friends, learning together and from each other. Assessment is by examination, lab assignments, coursework and project dissertation.

As well as conventional labs, we have portable equipment that you can use to explore core concepts away from the normal teaching environment. It supports our teaching, giving you the chance to learn by doing, when you want to, not just in classes.



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Apply by: 1 August (International), 1 September (UK/EU). 5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. Read more

Apply by: 1 August (International), 1 September (UK/EU)

5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. These include:

  • the internet-of-things
  • connected and driverless cars
  • smart cities
  • eHealth
  • virtual reality
  • robotics
  • smart manufacturing.

We’ve designed this new MSc course to give you the up-to-date knowledge and skills needed in modern digital technologies.

It's for newly qualified or practising engineers who’d like to extend their knowledge and practical skills in these rapidly growing areas of mobile communications and intelligent embedded systems.

We also offer this course with an industrial placement year.

Why choose this course?

How will I study?

You’ll study taught modules and work on an individual MSc project.

You’ll benefit from hands-on learning, using for example:

  • wireless communications design tools
  • software-defined radios
  • IoT platforms
  • wearable and reconfigurable technologies.

The modules are taught by a combination of lectures, seminars and practical laboratory work. Assessment is linked to the modules’ learning outcomes and involves unseen exam and/or coursework. The MSc project is mainly assessed by a project dissertation and oral presentation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project allows you to develop your skills as an engineer and will involve:

  • an in-depth study of an advanced topic in mobile communications and intelligent embedded systems
  • further development of your critical awareness, creative thinking and project planning skills
  • enhancing your ability to describe complex technical issues clearly and concisely
  • developing your presentation skills to effectively communicate your work and ideas to senior colleagues within an organisation.

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. A member of faculty supervises the project.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

  • MSc Individual Project
  • Internet-of-Things
  • Mobile Communications
  • Real Time Embedded Systems
  • Reconfigurable System on Chip
  • Topics in Wireless Communications
  • Wearable Technologies

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

  • Advanced Digital Signal Processing
  • Cryptography
  • Cybernetics and Neural Networks
  • Digital Signal Processing Laboratory
  • Fibre Optic Communications
  • Image Processing
  • Satellite and Space Systems

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

As a graduate, you’ll have the skills for a career in areas such as:

  • mobile and satellite telecommunications (where large industry players include Samsung, Vodafone, Ericsson, Huawei, Nokia, Cobham, British Telecom, Telefonica)
  • aerospace (where large industry players include Airbus, Rolls-Royce and GE)
  • automotive and transport (where large industry players include Jaguar, BMW, Continental, Network rail)
  • defence and security (where large industry players include BAE Systems, QinetiQ and Thales)
  • healthcare (where large industry players include Siemens and GE).

The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.



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Apply by: 1 August (International), 1 September (UK/EU). 5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. Read more

Apply by: 1 August (International), 1 September (UK/EU)

5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. These include:

  • the internet-of-things
  • connected and driverless cars
  • smart cities
  • eHealth
  • virtual reality
  • robotics
  • smart manufacturing.

We’ve designed this new MSc course to give you the up-to-date knowledge and skills needed in modern digital technologies.

It's for newly qualified or practising engineers who’d like to extend their knowledge and practical skills in these rapidly growing areas of mobile communications and intelligent embedded systems.

The MSc offers you the opportunity, and the support, to go on an industrial placement at a UK company. This means you’ll gain industry experience, ready for your future career.

We also offer this course without the industrial placement year.

Why choose this course?

How will I study?

You’ll study taught modules and work on an individual MSc project.

You’ll benefit from hands-on learning, using for example:

  • wireless communications design tools
  • software-defined radios
  • IoT platforms
  • wearable and reconfigurable technologies.

The modules are taught by a combination of lectures, seminars and practical laboratory work. Assessment is linked to the modules’ learning outcomes and involves unseen exam and/or coursework. The MSc project is mainly assessed by a project dissertation and oral presentation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project allows you to develop your skills as an engineer and will involve:

  • an in-depth study of an advanced topic in mobile communications and intelligent embedded systems
  • further development of your critical awareness, creative thinking and project planning skills
  • enhancing your ability to describe complex technical issues clearly and concisely
  • developing your presentation skills to effectively communicate your work and ideas to senior colleagues within an organisation.

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. A member of faculty supervises the project.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

  • MSc Individual Project
  • Internet-of-Things
  • Mobile Communications
  • Real Time Embedded Systems
  • Reconfigurable System on Chip
  • Topics in Wireless Communications
  • Wearable Technologies

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

  • Advanced Digital Signal Processing
  • Cryptography
  • Cybernetics and Neural Networks
  • Digital Signal Processing Laboratory
  • Fibre Optic Communications
  • Image Processing
  • Satellite and Space Systems

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

As a graduate, you’ll have the skills for a career in areas such as:

  • mobile and satellite telecommunications (where large industry players include Samsung, Vodafone, Ericsson, Huawei, Nokia, Cobham, British Telecom, Telefonica)
  • aerospace (where large industry players include Airbus, Rolls-Royce and GE)
  • automotive and transport (where large industry players include Jaguar, BMW, Continental, Network rail)
  • defence and security (where large industry players include BAE Systems, QinetiQ and Thales)
  • healthcare (where large industry players include Siemens and GE).

The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.



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Degree. Master of Science (two years) with a major in Transportation Systems Engineering. Read more

Degree: Master of Science (two years) with a major in Transportation Systems Engineering

The Intelligent transport system master's programme focuses on the integration of IT and telecommunications into transport and logistics systems, with the aim of increasing efficiency, safety, mobility and customer satisfaction while reducing environmental impact.

Well-designed transport and logistics systems are fundamental to individual mobility, commerce, welfare and economic growth. With ever-increasing volumes of traffic and goods, future transport systems face a huge challenge: How to balance the need for speedy, efficient and sustainable transport with the negative impacts of congestion, pollution and fatalities? The answer lies in a tighter integration of telecommunications and information technology into vehicles and physical road infrastructure. This programme provides the engineering and managerial skills required to design, plan, analyse and manage transport and logistics systems.

Two profiles: Traffic and Logistics

Through a multi-disciplinary approach, you will acquire the skills to adopt changes in the industrial environment in a responsible and efficient manner. The programme provides the tools required to understand, develop and control future transport and logistics systems through the use of optimisation, simulation and geographical information systems. You will study traffic and supply-chain modelling, mobile and wireless telecommunications, road safety and project management.

For the second and third semester you may choose between the Traffic profile and the Logistics profile. The final semester is dedicated to your thesis, which is usually written in close collaboration with a company, city or government body.

Frontline research

You will need strong skills in mathematics and an analytical mind: programming experience is a distinct advantage. You will carry out group-based lab practicals and project work. Many courses are continuously assessed through hand-in assignments and reports. Oral and written communication is an integral part of the programme, to prepare students for international management positions.

You will be at the frontline of Swedish transportation research. Linköping University is the coordinating university of the Swedish National Postgraduate School of ITS (Intelligent Transport Systems). We are also a member of ITS-EduNet, the network for Training and Education on Intelligent Transport Systems.



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From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. Read more

From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.

Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.




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Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games. Read more

Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games.

As part of the EPSRC Centre for Doctoral Training Intelligent Games and Game Intelligence (IGGI) – a collaboration between Goldsmiths, the University of York, and the University of Essex – we are training the next generation of researchers, designers, developers and entrepreneurs in digital games.

It's a unique opportunity for you to undertake PhD research in collaboration with our 60 industrial games partners and world-leading academics.

Structure

The doctoral programme combines practical skills training with advanced teaching in cutting-edge research topics and the chance to contribute original research to a growing academic area. 

There are 12 weeks of taught modules in the first year, covering:

  • Game design
  • Game development
  • Research skills

You'll also undertake two industrial placements during the programme. This will give you first-hand industrial experience that will influence your research projects.

You could decide to carry out leading-edge research in emerging areas that could include:

  • Embodied interaction
  • Intelligent games/Believable characters
  • Gamification
  • AI for game design

Visist the IGGI website for more information about these broad research areas.

Skills & careers

Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games.

Once you've completed your PhD, you'll have developed highly employable skills.

You'll be able to lead and define the state of the art in gaming, and will have the skills needed to shape the industry into one that is both technologically advanced and research aware. 

You'll also benefit from the relationships you developed with the UK digital games industry, which could form the basis of a network of professional contacts that is likely to be very useful in the future.



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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Intelligent Wireless Networks for Healthcare at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Intelligent Wireless Networks for Healthcare at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The Department welcomes applications from students wishing to pursue graduate level research in Intelligent Wireless Networks for Healthcare.

Medical Engineering is the application of engineering principles to both the human body and to a broad range of instrumentation used in modern medicine.The courses at Swansea University draw on the exciting medical research that is taking place within the College of Engineering and the College of Medicine. The research success in the two colleges led to the creation of the £22 million Centre for NanoHealth (CNH), a unique facility linking engineering and medicine.

Our Medical Engineering graduates gain the skills of engineering, whilst also providing employers with the added experience and knowledge of anatomy and physiology, and the ability to communicate with clinicians.



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Cover theory and practice for the design and implementation of intelligent systems – you’ll be well prepared for research and development. Read more
Cover theory and practice for the design and implementation of intelligent systems – you’ll be well prepared for research and development.

Whether you’re from a computing background or not, our introduction to Java will develop your programming skills and enable you to access our specialist options.

You have the opportunity to study key areas in machine learning and complex systems, as well as a range of topics in cutting-edge areas such as:
-Cognitive modelling
-Evolutionary computation
-Image processing
-Natural language processing
-Consciousness science

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

How will I study?

You will study a number of core modules and options. In the summer term, you will undertake a supervised dissertation.

You may have opportunities to work with an industrial partner, with scope offered to specialise. Some project work has led to journal and conference publication.

You are assessed through:
-Coursework
-Unseen examinations
-Essays
-Programming projects
-Group projects
-Presentations
-A 12,000-word 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 Informatics, you are encouraged to seek a project with a commercial or industrial flavour. Finding an industrial sponsor or host is fine, though you will still need an academic supervisor.

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

Our students are highly employable, with 95% of recent graduates’ job roles being at professional or managerial level.

Our graduates have gone on to careers in software development, systems analysis and technical communication. A high proportion of our graduates go on to undertake research degrees at Sussex and other prestigious universities.

Employers of our graduates include:
-Logica
-Sony
-Siemens
-American Express

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This international Master’s programme gives insights into cutting edge resarch in robotics and artificial intelligence. The programme is centred around a "raise your robot" theme. You get access to a robot platform from day one, which you will give more and more advanced capabilities as the courses are progressing. Read more

This international Master’s programme gives insights into cutting edge resarch in robotics and artificial intelligence. The programme is centred around a "raise your robot" theme. You get access to a robot platform from day one, which you will give more and more advanced capabilities as the courses are progressing.

The programme is offered by the nationally and internationally renowned Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University. As a student, you will be immersed in one of Sweden's largest academic research centres in robotics and intelligent systems. The outcomes of our ongoing international research projects feed into all of the courses. Vice versa, student projects and thesis works typically contribute to our research projects with industry partners.



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Why this course?. This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents. Read more

Why this course?

This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines. 

In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.

Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

You’ll study

You’ll take two semesters of compulsory and optional taught classes. These are followed by a three-month research project in your chosen area. Opportunities exist to do the project through the departments' competitive MSc industrial internships.

The internships are offered in collaboration with selected department industry partners. You’ll address real-world engineering challenges facing the partner, with site visits, access and provision of relevant technical data and/or facilities provided, along with an industry mentor and academic supervisor.

Facilities

We’ve a wide range of excellent teaching spaces including interactive flexible learning spaces, and state-of-the-art facilities. Our Technology and Innovation Centre (TIC) is home to a number of world class labs where students will have an opportunity to undertake research projects in relevant areas. The University is also home to some key and relevant industry engagement research centres, including:

Industry engagement

Interaction with industry is provided through our internships, teaching seminars and networking events. The departments deliver monthly seminars to support students’ learning and career development.

Xilinx, Texas Instruments, MathWorks, and Leonardo are just a few examples of the industry partners you can engage with during your programme of study.

Learning & teaching

We use a blend of teaching and learning methods including interactive lectures, problem-solving tutorials and practical project-based laboratories.

Our technical and experimental officers are available to support and guide you on individual subject material. Each module comprises approximately five hours of direct teaching per week.

To enhance your understanding of the technical and theoretical topics covered in these, you're expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.

The teaching and learning methods used ensure you'll develop not only technical engineering expertise but also communications, project management and leadership skills.

Assessment

A variety of assessment techniques are used throughout the course. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.

Assessment of the summer research project consists of four elements, with individual criteria:

  1. Interim report (10%, 1,500 to 3,000 words) – The purpose of this report is to provide a mechanism for supervisors to provide valuable feedback on the project’s objectives and direction.
  2. Poster Presentation (15%) – A vital skill of an engineer is the ability to describe their work to others and respond to requests for information. The poster presentation is designed to give you an opportunity to practise that.
  3. Final report (55%) – This assesses the communication of project objectives and context, accuracy and relevant of background material, description of practical work and results, depth and soundness of discussion and conclusions, level of engineering achievement and the quality of the report’s presentation.
  4. Conduct (20%) - Independent study, project and time management are key features of university learning. The level of your initiative & independent thinking and technical understanding are assessed through project meetings with your supervisor and your written logbooks.

Careers

Job titles include:

  • Graduate controls engineer
  • Graduate software engineer
  • Lecturer
  • Roboticist
  • Data analytics programmer

Employers include:

  • Xilinx
  • Texas Instruments
  • MathWorks
  • Leonardo
  • Siemens
  • Jaguar/Land Rover


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