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Masters Degrees (Intelligent System)

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This program helps to enhance the knowledge and competencies of building services and related professionals engaged in complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment. Read more
This program helps to enhance the knowledge and competencies of building services and related professionals engaged in complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment.

Program Objectives

Ever since the first appearance of the term ‘Intelligent Buildings’ in US in the early 1980s, it has grown into a major area of study for design and management professionals involved in major modern urban building projects. The start of the twenty-first century is witnessing rapid developments in intelligent building design technology and management. Building services engineers have to deal with complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment. The provision of a quality and up-to-date postgraduate level program such as this MSc program helps to enhance the knowledge and competencies of professionals who are engaged in intelligent building projects in modern metropolises such as Hong Kong and major cities in Mainland China. The program aims to contribute towards the sustainability of today’s urban built environment.

The MSc program in Intelligent Building Technology and Management is a postgraduate degree program designed for professionals in the building services industry. They can be mechanical engineers, electrical engineers, building services engineers, civil engineers, architects and other building operation professionals who wish to pursue comprehensive studies in intelligent building design, operation and facilities management. Our program consists of core courses that equip students with the basic theme and foundation on intelligent building technology and management concepts, and a variety of electives that cover topics from safety and health issues, risk management, energy management, to impact analysis and use of advanced building materials, indoor air quality, facility management, etc. The program aims to provide a balance between both frontier technology updates and management strategies, in both a quantitative and qualitative way.

Curriculum

All students are required to take a total of 30 credits to complete the MSc(IBTM) program. The program consists of two core courses that all students are required to take. The remaining credits will be taken from the elective courses. Subject to the approval of the Program Director, students may take a maximum of nine credits of non-IBTM courses, which may include a maximum of six credits of CIEM courses from the MSc program in Civil Infrastructural Engineering and Management and a maximum of six credits of MESF or MECH courses offered by the Department of Mechanical and Aerospace Engineering as partial fulfillment of the graduation requirement.

Core Courses
-IBTM 5010 Intelligent Building Facility Management
-IBTM 5050 Intelligent Building System

Elective Courses
-IBTM 5150 Advanced HVAC Systems
-IBTM 5200 Advanced Energy Conversion Systems
-IBTM 5260 Architectural Acoustics and Audio Systems
-IBTM 5300 Computational Methods in Building Environment Design
-IBTM 5330 Energy Management in Buildings
-IBTM 5430 Indoor Air Quality Technology and Management
-IBTM 5460 Materials in Built Environment
-IBTM 5470 Mechanical Vibration
-IBTM 5500 Occupational Safety and Health Issues in Buildings
-IBTM 5530 Risk Management and Decision-Making in Intelligent Building
-IBTM 5550 Financial Assessment of Intelligent Building Systems
-IBTM 5620 Electrical Facilities in Intelligent Buildings
-IBTM 6010 Special Topics in Intelligent Building Systems *
-IBTM 6010A Special Topics in Intelligent Building Systems: Leadership & System Design
-IBTM 6010B Special topics in Intelligent Building Systems: Mechanical Vibration
-IBTM 6010C Special Topics in Intelligent Building Systems: Entrepreneurship and Smart Building Technologies
-IBTM 6010D Special Topics in Intelligent Building Systems: Micro Sensors for Smart Buildings
-IBTM 6950 Independent Studies *

All Core and Elective courses carry 3 credits each, except IBTM 6950 which is worth 3 or 6 credits.

* A maximum of six credits of IBTM 6010 and a maximum of six credits of IBTM 6950 (which may be taken once only) may be counted toward the graduation requirement.

** Courses are offered subject to needs and availability.

Facilities

Students can enjoy library support, computer support, sports facilities, and email account at no extra cost. Upon graduation, students could also apply for related alumni services.

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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).

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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COURSE AIMS. This MSc programme meets the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. Read more
COURSE AIMS
This MSc programme meets the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. This programme aims to produce graduates of the highest calibre with the right skills and knowledge who will be capable of leading in teams involved in the operation, control, design, regulation and management of the power systems and networks of the future.

This programme also aims to provide graduates with the ability to critically evaluate methodologies, analytical procedures and research methods in:

Power system engineering – using state-of-the-art computational tools and methods;
Design of sustainable electrical power systems and networks;
Regulatory frameworks for, and operation of, power systems and electricity markets.
Who should Study this Course?
This newly designed M.Sc. programme is appropriate for those seeking an in-depth knowledge of sustainable electrictrical power including:

Graduates in power or electrical engineering, physical sciences, or related disciplines who aspire to work in the electrical power industry;
Industrially experienced graduate engineers and managers who recognise the importance of developing new analytical and critical skills, and state-of-the-art methodologies associated with the development sustainable electrical power systems.

COURSE MODULES

Sustainable Power Generation

Generation costing of solar, geo-thermal, bio-mass, wind, hydro, tidal, and wave.
Storage technologies and energy conversion: practical understanding and limitations.
Embedded renewable generation: technical challenges, opportunities and connection in electrical transmission and distribution grids.

Energy Economics and Power Markets

Principles, objectives, regulation, computational methods, economic procedures, emissions trading, and operation of electricity markets.
Restructuring and deregulation in generation, transmission, and distribution.
Concepts of transmission congestion and demand side management.

Power System Analysis and Security

Capabilities and limitations of modern power systems design.
Accurate use of power systems modelling and analysis of secure operation.
Computational techniques for power systems modelling, optimal power flow, mathematical programming, heuristic methods, artificially intelligent methods.

Power System Operation and Management

Business drivers and technical requirements for operational management.
In-depth knowledge of operational management software.
Energy balance and intermittency in sustainable electrical power system operation and management.

Power Electronics and FACTS

Practical understanding of how to design advanced power electronic circuits.
Modern power electronic integration techniques and state-of-the-art Flexible AC Transmission Systems.
Capabilities and limitations of different power electronic circuits.
Integration of power electronic circuits into Flexible AC Transmission Systems.

Power System Stability and Control

How to ensure effective power system stability and control power system operation using computational methods.
Power system stability problems, static and dynamic, relaying and protection, stability control and protection design, excitation and power system stabilisers.

Project Management

Formal methods and skills to function effectively at high levels of project management.
Development of skills to achieve practical business objectives.

Sustainable Electrical Power Workshop
You will gain experience and expertise with industry relevant tools and techniques through hands-on workshop environments. These practical sessions involve individual and group work. Typical assignments include:

Sustainable generation scheduling.
Integration of renewable energy sources.
Computer simulation of active power filters.
Phase-controlled rectifiers.
Power network security.
Sustainable electrical power system stability control.
Electricity market auctions.
Sustainable electrical power system investment and planning.

Project
This provides a stimulating and challenging opportunity to apply your knowledge and develop deep understanding in a specialised aspect of your choice. Projects can be university or industry and company sponsored students have the opportunity to develop their company’s future enterprise. Industrial projects often lead to the recruitment of the student by the collaborating company.

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The MSc in Digital Systems Engineering is a one-year full-time taught course that makes extensive use of the knowledge and expertise from our well established Intelligent Systems and Nano-Science Research Group. Read more
The MSc in Digital Systems Engineering is a one-year full-time taught course that makes extensive use of the knowledge and expertise from our well established Intelligent Systems and Nano-Science Research Group.

It is intended to provide students with a good theoretical background and solid hands-on experience of the techniques used in modern digital systems design. Using FPGAs as a hardware platform and VHDL as a design language, the programme provides students with:
-A balanced picture of state-of-the-art digital systems design methods
-A sound theoretical and practical knowledge of digital devices, tools, data networks and operating systems
-The ability to learn new techniques to keep up-to-date with new developments in an industrial and/or research setting
-Experience of the use of industry-standard tools to make them attractive candidates for prospective employers in the field
-Experience of working within a group and of the important management skills required by industry
-Hands-on experience of the different stages of the design of a modern digital system, which will culminate in the construction of a complex device (for example, an FPGA-based MP3 player)

Course Content

The course aims to provide a broad-based introduction to state-of-the-art digital system design techniques and to provide a solid grounding in both theory and practice. It is suitable for students wishing to pursue a career in digital electronic industry and research.

[[Group Project
The aim of this substantial group project is to immerse the students in a life-like scenario of a company developing digital systems. The project will involve the design, construction and implementation of a complete FPGA-based digital system, providing students with practical experience of project management and team skills. The system will include both software (such as human-computer interface, low-level programming) and hardware (such as FPGA, A/D converters, communication interfaces) components. The project will culminate in the design and realisation of a printed circuit board hosting a FPGA interfaced to a variety of peripherals. Communication links allowing connection to a PC will enable the creation of a diverse range of multimedia, diagnostic or communication systems. Furthermore, at the end of the project, students will keep the boards they have designed, providing them with a complete FPGA development system, allowing them to further investigate digital systems design.

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

In the Autumn term, a module on 'C Programming' will hone the students' skills required to effectively carry out the software components of the project. The module will provide a practical introduction to writing and running C programs as an example of a procedural programming language.

In the Spring term, the actual 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 an implementation plan that will be followed for the remainder of the project. Detailed system specifications will be established and the budget allocated, taking into account the cost of components and off-the-shelf IP modules.

In the Summer term, the project will continue with the pre-implementation phase. Students will design a PCB with the components (FPGA, communication interfaces, displays, memories, etc.) defined in the system specifications. The design will be sent to fabrication and returned by the end of term. Along with the PCB design, the students will develop a block-level algorithmic description of the system to be implemented, defining the role of each component within the system and beginning the development of the software components of the system.

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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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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 telecommunications and information technology into vehicles and physical road infrastructure in order to achieve increased efficiency, safety and mobility while decreasing environmental impact.

The programme gives students the engineering and managerial skills required for the design, planning, analysis and management of transport systems. The focus lies on road transportation systems and public transport and the understanding of traffic congestion, air pollution and road accident prevention.

The ITS programme gives students the skills to understand and control transport systems through the use of optimisation and simulation tools and application of telecommunications and geographical information systems. Study areas also include traffic modelling and traffic simulation, as well as road safety issues and management skills. To prepare the students for management positions, language and oral and written communication courses are integrated in the programme.

During the course of the programme students will be able to specialise in areas such as traffic safety management, mobile and wireless telecommunications or mathematical modelling of traffic systems. The programme ends with a six month long degree project.

ITS students at Linköping University will be at the frontline of Swedish ITS research as Linköping University is the coordinating university of the Swedish National Postgraduate School of ITS. The university is also a member of ITS-EduNet, the network for Training and Education on Intelligent Transport Systems.

The Intelligent transport systems master's programme is designed to prepare students for a career as a traffic engineer or traffic planner in public or private organisations, or as a developer of products and services related to the transport sector. Students are also well prepared for a research career or for continuing their studies towards a PhD degree.

Welcome to the Institute of Technology at Linköping University!

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Mechanical engineering is the basis of just about anything that has movable parts, which includes areas like transport (automotive, railway, aerospace), renewable energy, and manufacturing. Read more
Mechanical engineering is the basis of just about anything that has movable parts, which includes areas like transport (automotive, railway, aerospace), renewable energy, and manufacturing. These areas will continue to be important to the UK economy and to all developed economies.

The taught part of this course consists of six compulsory modules. An individual industrial project allows you to extend your knowledge by exploring an area that interests you, whilst giving experience of the way in which a complete product or process requirement would be addressed.

The PgDip covers a selection of taught modules, with no individual project. Students may progress to an MSc given good results.

Modules
• Intelligent System Control
• Mechanics and Actuators
• Advanced CAD/CAM
• Design and Modelling of Systems
• Renewable Energy
• Linking Group Project
• Individual Project

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Within the Department research is pursued through two research groups. simulation & visualisation and distributed reliable intelligent system. Read more
Within the Department research is pursued through two research groups: simulation & visualisation and distributed reliable intelligent system.

The department is a vibrant and mature research culture. Students are supported by a supervisor, a supervisory panel, edicated reserch officers and a training programme tailored to the individual needs of the field of research study. The research environment is further enhanced by a programme of colloquia and the department's own annual Graduate Research Conference. Together the research groups pursue a broad range of fundamental and applied research. They collaborate widely with other university departments, with companies and hospitals in the UK and numerous national and international reserach institutions around the world.

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A flexible and interdisciplinary programme, which challenges you to use your specific knowledge to unravel the workings of the human brain. Read more
A flexible and interdisciplinary programme, which challenges you to use your specific knowledge to unravel the workings of the human brain.

Our brain contains many ingenious networks of millions of interconnected neurons. Together, they have a storage capacity and flexibility that far exceed modern supercomputers, or any artificial intelligent system. The Master’s specialisation in Neuroscience aims at unravelling the neuro-biological and neuro-computational mechanisms of this fascinating, complex system. We study the full spectrum from molecule to man, and from experiment to advanced theory and models.

The brain, as part of the human body, may at a first glance seem the exclusive domain of Biology. However, as the communication between neurons involves neurotransmitters and electrical ionic currents, understanding these mechanisms calls for knowledge of Chemistry and Physics. Moreover, studying mechanisms of coding and encoding of neural signals, requires advanced concepts from Mathematics and Informatics. By working together, our students learn to view complex issues from all these different sides.

Choose your own angle

Neuroscience at the Science Faculty ranges from biology to physics and mathematics, and will thus appeal to students from different Master’s programmes. The programme can be readily adapted to your individual academic background – whether that is in the field of Biology, Mathematics, Physics or Computing Science. Apart from fundamental knowledge of the brain, the Neuroscience specialisation also provides you with a general background in the principles of complex systems, and of intelligent behaviour of living and artificial systems.

Why study Neuroscience at Radboud University?

- Radboud University is the only university in the Netherlands that covers the complete research field of Neuroscience, from cognition to behaviour, and from sub-cellular processes, to single cell analysis and big data.
- The specialisation is closely connected to the world-renowned Donders Institute for Brain, Cognition and Behaviour (DI). You will get the chance to work with DI researchers during your internship, and build up a high profile network for your future career.
- The courses have a strong focus on research: they will cover the latest developments in brain research and technology, and train you the essential academic skills.
- You will work with students and researchers from different backgrounds in the natural sciences and become acquainted with a wide variety of research methods and scientific approaches.

Change perspective

The brain, as part of the human body, may at a first glance seem the exclusive domain of Biology. However, as the communication between neurons involves neurotransmitters and electrical ionic currents, understanding these mechanisms calls for knowledge of Chemistry and Physics. Moreover, studying mechanisms of coding and encoding of neural signals, requires advanced concepts from Mathematics and Informatics. By working together, our students learn to view complex issues from all these different sides.

Career prospects

Master’s specialisation in Neuroscience
The Master’s specialisation in Neuroscience gives you the chance to work at the Donders Institute for Brain, Cognition and Behaviour, and build up your own network of international renowned scientists who are working on the human brain: an excellent preparation for a future career in science. Neuroscience will also provide you with general skills that are required for any other job you aspire:
- the ability to structure complex problems
- excellent social skills for working in a multidisciplinary team
- extensive experience in presentations
- academic writing skills

Our approach to this field

At Radboud University, all branches of Neuroscience are accounted for, and strongly intertwined through the Donders Institute for Brain, Cognition and Behaviour (DI). This unique combination of expertises is a real advantage for Neuroscience students: it gives you absolute freedom to develop your knowledge in your field of interest and a high profile network for your future career.

- Science faculty
In this specialisation at the Science faculty, you will use your background in the natural sciences to unravel neurobiological processes. When completed, you will receive a Master’s degree in Medical Biology, Molecular Life Sciences, Physics & Astronomy or Science. For highly talented students it is possible to obtain a second Master’s degree at the selective Research Master’s in Cognitive Neuroscience of the DI, which has a more cognitive approach. This extra Master’s degree takes one additional year (60 EC) to complete.

- Themes
The Master’s specialisation in Neuroscience focuses on three of the four research themes of the Donders Institute for Brain, Cognition and Behaviour:

- Perception, Action and Control
Focus: Studying sensorimotor mechanisms, their cognitive and social components, their clinical implications, and their relevance for robotics.

Research: Researchers use theoretical analysis, psychophysical and behavioural studies, neurophysiological techniques, neuroimaging, clinical and pharmacological interventions, developmental and genetic approaches.

- Plasticity and Memory
Focus: The development and decay of the healthy and the maladaptive brain.

Research: Researchers in this field study the mechanistic underpinnings and behavioural consequences of long-term changes in neural structure and function. Genetic, molecular and cellular methods, animal models, as well as human neuroimaging and cognitive neuropsychology are used.

- Brain Networks and Neuronal Communication
Focus: Complex neural networks, ranging from the very smallest – communication between individual neurons – to the largest: communication between different brain areas and the outside world.

Research: The research groups combine the development of new techniques for measurements of connectivity and activation, with the experimental application of these techniques in studies of cognition in humans, non-human primates and rodents. Computational modelling is an important component.

- Custom approach
The specialisation programme depends on the Master’s programme that you will follow. In this way, it will perfectly fit to your current knowledge and practical skills. However, as all neuroscience research topics are interdisciplinary, you will become acquainted with other disciplines as well. This will help you to develop a common ground that is necessary to communicate in a multi-faceted (research) team.

See the website http://www.ru.nl/masters/medicalbiology/neuro

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The Mechanical Engineering with Project Management programme is aimed at engineers wishing to advance or update their engineering skills and knowledge base. Read more
The Mechanical Engineering with Project Management programme is aimed at engineers wishing to advance or update their engineering skills and knowledge base.

The taught modules cover a broad range of engineering design and evaluation skills and how they can be applied to mechanical products and systems. In addition you will learn the key concepts and issues associated with engineering project leadership and organisational behaviour together with the project management processes, tools and techniques required to handle them.

The programme is taught with a strong practical focus and includes projects with local companies, case studies, workshops, and a substantial summer project.

Modules
• Intelligent System Control
• Mechanics and Actuators
• Advanced CAD/CAM
• Renewable Energy
• Principles of Project Management
• Project Leadership
• Advanced Project and Programme Management
• Linking Group Project
• Individual Project

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Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Read more
Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Computer engineering encompasses the principles, methods, and modern tools for the design and implementation of computing systems.

Our MSc Computer Engineering is the first in the UK and provides a balanced perspective of both hardware and software elements of computing systems, and their relative design trade-offs and applications. It will build on your knowledge in mathematics, science, and engineering to ensure you have a sound foundation in the areas needed for a career in this field.

Laboratory experiences enable you to understand experimental design and simulation techniques. We are internationally leading in this and you will have access to unique computer engineering platforms including our:
-Intelligent Flat (iSpace)
-Robotics Arena
-Networked intelligent campus (iCampus)
-Advanced networking and multimedia labs

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

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

Upon graduation, you can look for employment in:
-Heavy industries, designing advanced computer systems and control
-Hardware companies, designing and developing microprocessors, personal computers, and supercomputers
-Communication and mobile phone companies, designing advanced computer systems for communications systems
-Large computer and microelectronics companies, writing software and firmware for embedded microcontrollers, and designing VLSI chips, analog sensors, mixed signal circuit boards, and operating systems
-Embedded system companies, developing advanced computer systems, and mobile applications and phones
-Banks and businesses, designing intelligent distributed systems to serve their operations
-Computer games companies, designing advanced computer games
-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) and within our University.

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
-Converged Networks and Services
-Digital Signal Processing
-High Level Logic Design
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Advanced Embedded Systems Design (optional)
-Artificial Neural Networks (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Electronic System Design & Integration (optional)
-Intelligent Systems and Robotics (optional)
-Mobile Communications (optional)

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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 programme provides state-of-the-art education in the fields of sustainable energy generation, distribution and consumption. It is intended to respond to a growing skills shortage for engineers with a high level of training in renewable energy, smart grids and sustainability. Read more
This programme provides state-of-the-art education in the fields of sustainable energy generation, distribution and consumption. It is intended to respond to a growing skills shortage for engineers with a high level of training in renewable energy, smart grids and sustainability.

By the time you graduate, you will have a thorough understanding of sustainability standards, various renewable energies, smart grid and power electronics for renewable energy and energy use management in buildings, urban design and other areas. Research on sustainable energy technology has opened up many job opportunities in industry, government institutions and research centres.

What are benefits of the programme?

• studying at international university recognised throughout the world
• close cooperation with world-famous universities and research centres to solve major technical challenges including energy crises and environmental pollution
• excellent research opportunities, using advanced experimental equipment including a network analyser, power analyser, Dspace controller, wind turbine and PV testing system
• continuous development of core modules to meet the requirement of industrial innovation
• cutting-edge research in the intelligent and efficient utilisation of solar, wind energy and other renewable energy sources

Lab Facilities

Power electronics laboratory equipped with advanced experimental equipment
• Sustainable energy laboratory equipped with advanced experimental equipment including a 600W wind turbine, two 270W solar modules, batteries, an inverter with sinusoidal output and main controller
• Electric machine and power system laboratory

Modules

• Sustainable Energy and Environment
• Nuclear Energy Technology
• Power System Network and Smart Grid
• Integration of Energy Strategies in the Design of Buildings
• Photovoltaic Energy Technology
• Renewable Kinetic Energy Technologies
• Power Electronics and Applications for Renewable Energy
• Sustainable Urban Planning Strategies
• Msc Project

What are my career prospects?

Graduates of this programme will typically work on professional tasks including the implementation of sustainable energy technologies within existing or new systems, and modelling and evaluation of the impact on ecosystems, economics and society. Graduates may be employed as electric power system engineers, electric power system consultants, sustainable technology consultants, electric power projects managers, sustainable cities and building design consultants, managers and team leaders in government.

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The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. Read more

Overview

The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. The course does not require background in programming or data analysis and for those with no such background appropriate training is offered to catch up with others who already have such training or experience. The course aims to match the needs of business that compete globally in a world driven by advances in information technology. The programme aims to develop both technical and people skills making our graduates ready for jobs that offer high satisfaction and regular challenge at the same time. The first semester of the course is organised into modules delivered intensively over three week periods. The second semester is organised using usual semester-long modules with the difference that all these modules are assessed by coursework only. The summer semester is dedicated to a Master’s level research or development project

See the website https://www.keele.ac.uk/pgtcourses/advancedcomputersciencemsc/

Course Aims

The aims of the programme are to equip students with knowledge of a range cutting-edge areas of computer science research and applications and to prepare students to be successful in a variety of computer science related jobs. The course covers advanced computer science topics, including user interaction design, big data, cloud computing, security, intelligent systems and mobile-oriented web applications. The course also provides a good grounding in collaborative team work and general skills for technology consultants.

Core Modules:

User Interaction Design (15 credits – Semester 1): The module provides the knowledge and skills required for a student to be able to work on User Interaction Design based on an evaluated assessment of the factors associated with a given application or user interaction scenario.

Distributed Intelligent Systems (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances (e.g. TV, fridge, etc. equipped with embedded computers).

Statistical Techniques for Data Analytics (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to store, process, distribute, visualise and analyse large volumes of big data using distributed databases, statistical techniques and machine intelligence methods.

Cloud Computing (15 credits – Semester 2): The module provides the knowledge and skills required for a student to be able to understand the principles of operations of cloud computing and to develop applications for cloud computing environments, e.g. data storage and distribution, software-as-service, interactive content services.

Web Technologies and Security (15 credits – Semester 2): To module provided an understanding of contemporary web technologies used for both server and client side development of web applications, with particular focus on mobile applications, and an understanding of security aspects of such applications and of the defence methods and techniques employed to provide security.

Collaborative Application Development (15 credits – Semester 2): The module places students in a real world scenario requiring co-operation and communication as well as analysis and design skills. This will involve work for a real world client working as a development team.

Problem Solving Skills for Consultants (15 credits – Semester 1 & 2): This module explores skills such as project management, communication and team working and building. It also provides knowledge of ethical, legal and social issues related to the development and deployment of Information Technology.

Optional Modules:

System Design & Programming (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to design software systems and write object oriented programs in an appropriate programming language (e.g. Java, C#).

Research Horizons (15 credits – Semester 1): To module provides the knowledge for a student about a selected computer science research area and the skills required for the development of a mini-project in this area

Project or Industrial Placement

MSc Project or Industrial Placement (60 credits – Semester 3): Provides an integration of concepts taught on the course in either an academic or business environment

Teaching & Assessment

All first semester 15 – credit taught modules, with the exception of one module delivered over two semesters, will be delivered in block mode, i.e. each of these modules will be delivered over a period of six consecutive weeks. In any week at most two block mode modules will be scheduled to be delivered during the first semester. All taught modules in the second semester are delivered along the whole semester.

The taught modules are mainly assessed by coursework, with examinations in some of the modules. Project assessment is based largely on a substantial final report.

Additional Costs

Additional costs may be incurred for text books, inter-library loans and potential overdue library fines. Some travel costs may be incurred if an external project or placement is undertaken; any such costs will be discussed with the student before the project is confirmed. It will be possible for the student to select an internal project and that would not incur any additional travel costs.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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