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Masters Degrees (Intelligent Systems And Robotics)

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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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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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Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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The MSc in Robotics will provide you with the ability to understand, design and implement modern robotic systems. Read more
The MSc in Robotics will provide you with the ability to understand, design and implement modern robotic systems. Robotics is increasingly prominent in a variety of sectors, from manufacturing and health to remote exploration of hostile environments such as space and the deep sea, and as autonomous and semi-autonomous systems that interact with people physically and socially.

This programme exposes you to a wide range of advanced engineering and computer science concepts, with the opportunity to carry out a practical robot project at the Bristol Robotics Laboratory, one of the UK's most comprehensive robotics innovation facilities and a leading centre of robotics research.

The programme is jointly awarded and jointly delivered by the University of Bristol and the University of the West of England, both based in Bristol, and therefore draws on the combined expertise, facilities and resources of the two universities. The Bristol Robotics Laboratory is a collaborative research partnership between the two universities with a vision to transform robotics by pioneering advances in autonomous robot systems that can behave intelligently with minimal human supervision.

Programme structure

Your course will cover the following core subjects:
-Robotics systems
-Robotic fundamentals
-Intelligent adaptive systems
-Robotics research preparation
-Image processing and computer vision
-Technology and context of robotics and autonomous systems
-Bio-inspired artificial intelligence

Typically you will be able to select from the following optional subjects:
-Computational neuroscience
-Uncertainty modelling for intelligent systems
-Introduction to artificial intelligence
-Learning in autonomous systems
-Design verification
-Animation production
-Advanced DSP and FPGA implementation
-Statistical pattern recognition
-Control theory
-Advanced techniques in multidisciplinary design
-Advanced dynamics
-Virtual product development
-Biomechanics
-Sensory ecology
-Transport modelling
-Electromechanical systems integration
-Advanced control and dynamics

Please note that your choice of optional units will be dependent on your academic background, agreement with the programme director and timetable availability.

Dissertation
During your second semester, you will start working on a substantial piece of research work that will make up one third of the overall MSc. It is possible to work on this project at Bristol Robotics Laboratory or in conjunction with one of our many industrial partners. Within the Bristol Robotics Laboratory, there are a number of themes from which projects may be chosen, including:
-Aerial robots
-Assisted living
-Bioenergy and self-sustainable systems
-Biomimetics and neuro-robotics
-Medical robotics
-Nonlinear robotics
-Robot vision
-Safe human-robot interaction
-Self-reparing robotic systems
-Smart automation
-Soft robotics
-Swarm robotics
-Tactile robotics
-Unconventional computation in robots
-Verification and validation for safety in robots

Further information is available from the Faculty of Engineering.

NB: Teaching for this programme is delivered at both the University of Bristol and the University of the West of England campuses. Students attending the programme will be given free transport passes to travel between the two universities.

Careers

Robotics is a huge field spanning areas such as electronics, mechanics, software engineering, mathematics, physics, chemistry, psychology and biology. Career opportunities include: automotive industry, aerospace industry, advanced manufacturing, deep sea exploration, space exploration, food manufacture, pharmaceutical production and industrial quality control.

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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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This is an MSc course in Embedded Systems with contributions from the fields of mechatronics and robotics. Embedded systems are microprocessor-based systems within a larger mechanical or electrical system that performs a dedicated function or task. Read more
This is an MSc course in Embedded Systems with contributions from the fields of mechatronics and robotics.

Embedded systems are microprocessor-based systems within a larger mechanical or electrical system that performs a dedicated function or task. They encompass a wide variety of products ranging from small mobile phones to large process automation installations. A practicing engineer in the field of embedded systems needs to have a specialised expertise in more than one of the engineering subjects of this multi-discipline subject.

Our MSc is tailored to provide you with advanced learning in microprocessor systems that are at the heart of embedded systems, with additional contributions from the fields of mechatronics and robotics. This approach reflects the needs of the industry and is well supported by the range in expertise we have in our Department.

The Department of Engineering and Design covers the full gamete of teaching in electronic, telecommunication and computer networks engineering as well as mechanical engineering and product design.

Our academics are a cohesive group of highly skilled lecturers, practitioners and researchers. You'll benefit from your choice of supervisors to support a wide range of modern and multi-discipline Masters-level projects. Our teaching is supported by well-equipped laboratory workshops, using mostly the latest hardware and software available in universities.

- Robot Detectives
LSBU holds an international reputation as a world leader in the use of robotics in non-destructive testing and developing intelligent robotic systems. Groundbreaking projects have ranged from building wall climbing robots to robots that work under water and oil.

See the website http://www.lsbu.ac.uk/courses/course-finder/mechatronics-robotics-engineering-msc

Modules

- Embedded system design
This module shows you how to design and implement an Embedded System on a single IC. You will learn about the basics and the benefits of all programmable devices. The SOC (System on Chip) process flow is explained for FPGAs (Field Programmable Gate Arrays) stressing the role played by the Hardware Description Languages (HDL). The accompanying workshops demonstrate the use of tools and methodologies as well as the programming, verifying and protecting your designs. We use the commercial software Quartus II and QSYS and the hardware development platform DE2 by Altera.

- Individual project
The individual project is a major element of the course. It involves a wider spectrum of multidisciplinary research in design, manufacturing systems, quality management and IT, with due regard to the efficient exploitation of the technology, materials and marketing resources of industrial firms. Students are encouraged to work on industrial-based projects.

- Pattern recognition and machine learning
This module introduces the fundamentals of both statistical learning theory and practical approaches for solving pattern recognition problems. Further, it consolidates lectures with experimental computer-based workshops to inculcate the principles of machine learning and classification. The module covers: Bayesian decision theory, parametric density estimation, linear discriminant functions, perceptrons, support vector machines, neural networks and clustering.

- Microprocessor-based control and robotics
This module will provide information allowing you to critically evaluate and make the right choice of the microprocessor that will be at the heart of your embedded system. To this effect we provide a thorough discussion and qualitative comparison of the various microprocessor architectures and the methods of the software development available to you. The workshop assignments involve interfacing 8 and 32 bit microcontrollers to a wide range of devices, including robotic manipulators and control/measurement instrumentation.

- Electromechanical systems and manufacturing technology
This module consists of two parts. The first part covers the design of electromechanical components of the embedded system. The material presented here derives from the fields of Mechatronics and Robotics. The second part provides information on modern developments in the field of materials and the manufacturing. Examples of topics covered include applications of nano-technology, use of polymers and composites. Manufacturing techniques are described together with process modelling and control that is essential to produce the material to the required specification.

- Technology evaluation and commercialisation
This module includes: research product idea generation; product definition and value proposition; market research and assessment; functional assessment of product concepts; and strategic assessment of commercial viability.

- Technical, research and professional skills
This module includes: an introduction to project management, project planning, research project characteristics, ethics, feasibility analysis of requirements and resources; research methods; stages in project management; modelling and optimisation tools (PERT and CPM); technical report writing.

- Robotics
This module introduces you to the basic elements and principles of modern robotics. You'll gain a thorough theoretical and practical understanding of the fundamental concepts of this important and fast developing field. Essential geometric concepts will be introduced and these will be applied to the analysis and control of several different types of machines. A key feature of the module will be the wide range of robotic devices studied, from industrial serial manipulators, through mobile robots to quadcopters. The workshop for this modules includes various topics such as Robot Programming, Path Planning, Mapping and Localisation.

- MSc project
The individual project is a major element of the course. We offer a supervision of projects from a wide spectrum of either specialized or multi-disciplinary topics. There are opportunities for individual-centered projects as well for the student being allocated specific tasks within a larger research effort. Students are encouraged to work on industrial-based projects under joint supervision with their employer.

Employability

The course has been designed to help to meet the needs of industry. How much your employability will increase, will depend on your background and the personal contribution you make to your development whilst studying on the course.

Benefits for new graduates

If you are a new graduate in electronic or computer engineering then you benefit from the further advanced topics presented. You'll get an opportunity to cut your teeth on a challenging MSc Project, which will demonstrate your abilities to the potential employers. Alternatively, you could also pursue PhD studies after completing the course.

Benefits of returning to University after time working in industry

If you are returning to University after a period of working in industry, then you'll be able to update yourself with the recent technological progress in the field. You'll gain confidence in your ability to perform at your best and stand a better chance to seek challenging work opportunities. If you are already working in the field, the MSc qualification will enhance your status which will may help with your promotion.

Employment links

We are continually developing links with employers who are interested to provide internship to our students . Examples of this can include small VHDL and DSP designs, ARM based designs, industrial design or correlation research. These projects can be performed as part of the curriculum or as part of a research project.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Professional links

The School of Engineering at LSBU has a strong culture of research, extensive research links with industry through consultancy works and Knowledge Transfer Partnerships (KTPs), and teaching content is closely related to the latest research findings in the field.

History and expertise

A strong research tradition and our industrial links has helped shaped the course design, content selection, course delivery and project supervision.

The Department of Engineering and Design has a strong Mechatronics, Robotics and Non-destructive testing research group with a wide national and international profile. This is in addition to excellent research in many areas of mechanical engineering, electrical engineering, product design, computer network and telecommunications engineering.

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This course is designed in collaboration with transport industry partners to equip you to meet the needs of the rail and road industries. Read more
This course is designed in collaboration with transport industry partners to equip you to meet the needs of the rail and road industries. There is an increased demand for advancements in electrical, electronic, control and communication systems for transport, with a particular focus on themes like higher efficiency and sustainability, safety and driving assistance, position and traffic control for smart transport planning.

Modern electrical, electronic, control and communication systems for intelligent transport require today engineers with a combination of skills and solutions from cross-disciplinary abilities spanning electrical, electronic, control and communications. In this context, the overall aim of this Conversion Masters is to provide you with an enriching learning experience, and to enhance your knowledge and skill-base in the area of modern road vehicle and rail transport systems design.

This conversion course is intended both for engineers in current practice and for fresh honours graduates to facilitate their professional development, mobility and employability.

Course content

This course aims to enhance your knowledge and skills in the area of intelligent and efficient transport systems design. You will develop advanced practical skills that will help you determine system requirements, select and deploy suitable design processes and use the latest specialist tool chains to test and/or prototype a device or algorithm. The programme will help you acquire the cross-disciplinary skills and abilities that today are vital to be able to implement effective solutions for modern electrical, electronic and communication systems applied to intelligent transport. The broad range of disciplines covered by the course will enable you to enter a career that requires a cross-disciplinary approach with a practical skillset.

The subject areas covered within the course offer you an excellent launch pad which will enable you to enter into this ever expanding, fast growing and dominant area within the electrical engineering sector, and particularly in the area of intelligent and efficient transport systems. Furthermore, the course will provide the foundations required to re-focus existing knowledge and enter the world of multi-disciplined jobs.

Modules

The following modules are indicative of what you will study on this course.

Core modules
-Electric Motors and Control for Transport Systems
-Power Conversion and Drives for Transport Systems
-Project
-Sensor, Data Acquisition and Communication for Transport Systems

Associated careers

The course provides the foundations required to re-focus existing knowledge and enter the world of multi-disciplined jobs. Graduates can expect to find employment, for example, as Electrical systems design engineers; Control systems engineers, Transport systems engineers; Plant control engineers; Electronic systems design engineer; Communication systems design engineers; Sensor systems engineers; Computer systems engineer. Examples of typical industries of employment can be: Transport; Automobile; Aviation; Electrical systems; Electronic systems; Assembly line manufacturers; Robotics and home help; Toy; Communication systems; Logistics and distribution; Consumer industry; Life-style industry; Security and surveillance; Petro-chemical.

Professional recognition

This course will be seeking accreditation from the IET.

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Intelligent systems will soon be an integral part of our life and an important competitive factor in service-oriented organizations and in industrial automation. Read more
Intelligent systems will soon be an integral part of our life and an important competitive factor in service-oriented organizations and in industrial automation. Örebro University offers a 120-credit, international Master’s Programme, which gives insight into the cutting edge research in the field of Robotics and Intelligent Systems. For example, students learn about the methods used by autonomous vehicles to know where they are, how the navigation software in your phone finds the best route, and the sensors that robots and intelligent systems use to perceive the world.
The programme offers two levels of graduation: a 60-credit Master of Science degree in Computer Science (one year), providing gin-depth knowledge of advanced research topics and software engineering competences which can be readily applied to the job market; or a 120-credit Master of Science degree in Computer Science (two years), for those who wish to gain a higher degree of autonomy in problem solving and innovative thinking, possibly pursuing a career in R&D or academia.

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The MSc Future Intelligent Technologies aims to equip students and engineering professionals, through a diverse range of research informed learning, with the skills to maintain a future-thinking career. Read more
The MSc Future Intelligent Technologies aims to equip students and engineering professionals, through a diverse range of research informed learning, with the skills to maintain a future-thinking career. The programme goes beyond current technology, looking at predicting future innovation by equipping learners with the tools to see through media hype and effectively analyse the evolution of future technologies and engage with these technologies as they emerge. The programme provides the opportunity to explore: future technologies; robotics; cybernetics and intelligent systems; distributed systems; advanced design and ergonomics; securing future technologies; and future business thinking, all set within a forward thinking context. This programme offers the opportunity to participate in a highly motivated intellectual environment with research active tutors and like-minded peers, whilst exploring and engaging with cutting edge future technologies.

Whether you're looking to deepen and diversify your industrial experience, or continue your education through an innovative master's degree, this programme provides an ideal opportunity to develop your technical and intellectual skills, staying one step ahead. The Faculty of Engineering and Science accredits its computer, electronics and communications engineering programmes with the Institute of Engineering Technology, with postgraduate programmes contributing towards the further learning requirements of Chartered Engineer status.

The aims of the programme are:

- To show you how to analyse, design, implement and manage intelligent and future focused technologies and systems in the context of engineering-related issues facing global societies

- To provide you with the skills to further your career in these areas

- To support you in understanding the innovative and pioneering approaches in this field and to be able to apply them to the solution of present, near future and future real-world problems in developing novel industrial and commercially-relevant solutions.

Visit the website http://www2.gre.ac.uk/study/courses/pg/enggen/fut-int

What you'll study

Future Technologies
Robotics
Cybernetics and Intelligent Systems
Distributed Systems
Research, Planning and Communication
Future Business Thinking
Securing Future Technologies
Individual Research Project

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Assessments include examinations, coursework, group work and an individual project.

Specialist equipment/facilities

Online resources: Students will require access to existing online resources such as Moodle, e-mails, library online resources, databases, Web of Knowledge, Scopus, Internet of Things, Internet of Everything.

Hardware: Computers, laboratory equipment to include but not limited to: experimental and laboratory equipment to support practical based learning (hardware and software development systems, robotic hardware, mobile robots, cybernetics hardware and software, Internet of Things, Sensors and Systems, WiFi development, 3D printers, laser cutters, 3D scanners, cutting edge single board computers)

Software: Matlab, Simulink, C/C++ compilers, development systems, networking and communication protocol monitoring and development.

Robotics: A specialist robotics laboratory has been developed containing a Robothespian industrial robotic arm, mobile robots and other robotic actuators and systems.

Professional recognition

Accreditation will be sought for the programme, initially from the Institute of Engineering Technology (IET) – contributing towards the further learning requirements of Chartered Engineer status.

Career options

Postgraduate students from this programme will find employment opportunities as futurologists, engineers, scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar), in the public sector (local government, town and country planning), as entrepreneur or they may wish to pursue further qualifications such as a PhD within the Faculty of Engineering and Science at the University of Greenwich to become even more specialised. City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future orientated intelligent systems engineers that will graduate from this MSc.

Careers and employability

FACULTY OF ENGINEERING & SCIENCE
We work with employers to ensure our degrees provide students with the skills and knowledge they need to succeed in the world of work. They also provide a range of work experience opportunities for undergraduates in areas such as civil engineering, manufacturing and business information technology.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Read more
Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Gain advanced theoretical and practical knowledge from our world-leading experts in interactive and intelligent robotics, and graduate ready to pursue an exciting career in anything from home automation to deep sea or space exploration. You’ll also have the opportunity to gain invaluable industry experience and cultivate professional contacts on an integral work placement.

Key features

-Enhance your employability and grow your professional network with an optional integral work placement. You can choose to work in the UK, or overseas in countries including France, Germany or Japan.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Become a professional in your field – this programme is accredited by the Institution of Engineering and Technology (IET).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll investigate user interaction and intelligent decision-making and immerse yourself in an innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-ROCO503 Sensors and Actuators
-BPIE500 Masters Stage 1 Placement Preparation
-PROJ509 MSc Project
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Optional modules
-BPIE502 Electrical/Robotics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Read more
Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Gain current, advanced theoretical and practical knowledge from our world-leading experts in intelligent and interactive robotics. You’ll graduate ready for a future in the fast-moving world of personal and service robotics and with the skills to further your research to PhD level.

Key features

-Immerse yourself in an individual research project and learn how to communicate your motivation, methodology, and conclusions through a formal dissertation and summary paper.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.
-The taught elements of this programme are also delivered to students on Year 1 of the MSc Robotics Technology programme.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build advanced theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll learn how to search, critically appraise and identify relevant research literature. You’ll also gain expertise in project management and personal effectiveness whilst immersing yourself in a substantial and innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-PROJ510 MRes Project

Optional modules
-ROCO503 Sensors and Actuators
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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This new course will not only teach you about the fundamental and advanced concepts of modelling, simulation, control, optimisation and systems engineering, but also provides you with a range of management techniques, including. Read more

About the course

This new course will not only teach you about the fundamental and advanced concepts of modelling, simulation, control, optimisation and systems engineering, but also provides you with a range of management techniques, including: project management, risk management, professional skills and effective management of innovative development.

Our world-leading research and our partnerships with industry give you an advantage in a competitive careers market. You’ll learn about the very latest developments in systems, control, computational intelligence and robotics – effectively preparing you for a future in engineering.

[Push yourself further]]

We have cutting edge facilities and technology, including: advanced control and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

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

Foundations of Control Systems; State-Space, Optimal Control and Nonlinear Systems; Signal Processing and Estimation; Embedded Systems and Rapid Control Prototyping; Managing Engineering Projects and Risk; Design Innovation Toolbox; Professional Responsibilities of the Engineer; Control Systems Project and Dissertation.

Examples of optional modules

Advanced Industrial Control; Robotic and Autonomous Systems; Intelligent and Vision Systems; Multisensor and Decision Systems; Nonlinear and Hybrid Systems.

Teaching and Assessment

There are lectures, tutorials, laboratory work and individual assignments. You will be assessed on examinations, coursework assignments and a project dissertation.

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Are you a future leader in the robotics and intelligent automation industry? Through an extended project sequence delivered collaboratively with Carnegie Mellon University, USA, you’ll apply robotics innovation and research in a real-world setting by taking a project idea from inception through to realisation. Read more
Are you a future leader in the robotics and intelligent automation industry? Through an extended project sequence delivered collaboratively with Carnegie Mellon University, USA, you’ll apply robotics innovation and research in a real-world setting by taking a project idea from inception through to realisation. With our professional masters degree under your belt, you’ll excel as an expert in robotics principles and practices, automation science, software, engineering and management.

Key features

Graduate as an ethical leader or entrepreneur, dedicated to sustainable social and economic development through robotics technology.

Experience both UK and US academic environments by spending your second year studying at Carnegie Mellon University (CMU) in Pittsburgh, USA. Our unique programme is delivered in collaboration with CMU which is recognised for its leading arts, sciences, and engineering programs.

Benefit from close mentoring by CMU staff in your second year while you design your project application and implementation plan.
Get up to date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.

Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.

Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.

Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotic and Neural Systems (CRNS). Our teaching is underpinned by research and industrial strengths in these areas and both CRNS and MIDAS have contacts with major UK robotics companies.

Benefit by combining disciplines that are traditionally taught separately. You’ll graduate with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.

Course details

Your first year is delivered at Plymouth where you’ll gain deep theoretical and practical knowledge of robotics with an emphasis on mobility and interaction. You’ll cover control and design, interfacing between real-world devices, autonomous processing and evaluation of acquired information, as well as interaction with the user and intelligent decision making. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

In your second year you’ll study at Carnegie Mellon University’s Robotics Institute in Pittsburgh USA*. You’ll enhance your knowledge of sustainable development, leadership, technology application and industry-oriented project completion. Here you will benefit from close mentoring by CMU staff while you design your project application and implementation plan. You’ll also cover advanced mechanics, computer vision, mobile robot design, programming and development and select from modules which will increase your technical knowledge and expertise. In addition, you’ll have opportunity to build real-world experience in business, resource, and cultural environments worldwide by completing an industrial placement during the summer between years one and two.

Applying

The University aims to make the application procedure as simple and efficient as possible. Our Admissions team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail. The Graduate School is also available to answer any queries on our postgraduate research degrees –

If you have a disability and would like further information about the support provided by Plymouth University, please visit our Disability Assist Services website. Support is also available to overseas candidates applying to the University from our International Admissions Team via

International applicants

If you have an overseas qualification, you can check your compatibility with the UK equivalent through NARIC, who provide an advisory service.

If your first language is not English then evidence of English proficiency is required.

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Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC). Read more

About the course

Our flagship course blends theory and practice, giving you a strong grounding for a career in industry or research. This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC).

The core modules provide you with the basic skills you’ll need to become a control and systems engineer. You’ll take advanced modules in current areas of interest and complete a research-level dissertation project.

Push yourself further

We have cutting edge facilities and technology, including: advanced control
and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

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

Foundations of Control Systems; State-Space, Optimal Control and Nonlinear Systems; Signal Processing and Estimation; Embedded Systems and Rapid Control Prototyping; Advanced Industrial Control; Control Systems Project and Dissertation.

Examples of optional modules

Intelligent and Vision Systems; Nonlinear and Hybrid Systems; Robotic and Autonomous Systems; Multisensor and Decision Systems.

Project work

You can use our award-winning take-home lab kits to explore core concepts at home. It supports our teaching, giving you the chance to learn by doing, when you want to, not just in classes. You’ll work on a major project of your own as part of your final assessment and there are chances to contribute to other projects throughout the course.

Teaching and assessment

You can expect a mix of lectures, tutorials, laboratory work and individual assignments. All the lectures and tutorials are for our systems and control students only. This helps you to bond with your fellow students, so you can learn from each other. You’re assessed on exams, coursework assignments and a project dissertation.

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This course is for students who already have a strong engineering background and wish to specialise in robotics and automation. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence. Read more
This course is for students who already have a strong engineering background and wish to specialise in robotics and automation. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence.

You will gain a firm grounding in control engineering and intelligent systems concepts, along with the ability to comprehend and fully specify integrated automation systems embodying intelligence, robotic and automation hardware and software, and virtual reality (VR)/simulation technologies.

The course also provides a suitable background for research in advanced autonomous systems with reference to robotics.

Key benefits:

• Gain a firm grounding in control engineering and intelligent systems concepts
• This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence
• Projects supported by internationally-leading research

Visit the website: http://www.salford.ac.uk/pgt-courses/robotics-and-automation

Suitable for

Suitable for students who already have a strong engineering background and wish to specialise in robotics and automation.

Format

You will be taught via a series of lectures and workshops with many of the modules taught via extensive hands-on practical lab-based sessions.

Practical experience includes the use of robotics platforms to produce a software system using the MATLAB toolboxes or the C programming language or to produce a finished hardware/software based mobile robotics system.

Module titles

• Automation and Robotics
• Interactive Visualisation
• Artificial Intelligence
• Mobile Robotics
• MSc Project/ Dissertation

Assessment

70% coursework and 30% examination.

Career potential

This qualification will equip you for employment in a number of industries. Excellent opportunities exist in areas including robotic design, control systems integration and design, factory automation, engineering management and research.

How to apply: http://www.salford.ac.uk/study/postgraduate/applying

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