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Masters Degrees (Adaptive Systems)

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The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization. Read more
The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization.

Inspired by complex adaptive systems in nature, several new methods for information processing have emerged: artificial neural networks resemble neurobiology; genetic algorithms and genetic programming are based on evolutionary processes in nature; the construction of artificial life, the design of autonomous robots and software agents are based on the behaviour of living systems.

Programme description

To understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable.
Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets.

One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.

Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.

Educational methods

Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.

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

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

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

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

How will I study?

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

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

You are assessed through:
-Coursework
-Unseen examinations
-Essays
-Programming projects
-Group projects
-Presentations
-A 12,000-word dissertation

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules. It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Informatics, you are encouraged to seek a project with a commercial or industrial flavour. Finding an industrial sponsor or host is fine, though you will still need an academic supervisor.

Scholarships

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

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

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

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

Careers

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

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

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

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This programme will not have a 2016 intake as the content is being extensively improved. A one-year course that will provide engineering and science graduates with a thorough knowledge of modern radio and mobile communication systems. Read more

NOTE

This programme will not have a 2016 intake as the content is being extensively improved.

A one-year course that will provide engineering and science graduates with a thorough knowledge of modern radio and mobile communication systems.

AIM OF COURSE

Mobile radio encompasses a diversity of communications requirements and technical solutions including cellular mobile radio and data systems (eg GSM, GPRS, 3G, 4G, WiMax) and Personal Mobile Radio as well as various indoor radio systems including Bluetooth, WIFI, Wireless Indoor Networks (WINs or LANs). In view of the huge size of the market for these enhanced systems providing flexible personal communications, it is important that industry equips itself to meet this challenge. This MSc course aims to provide industry with graduates who possess a thorough knowledge both of actual modern radio systems and of the fundamental principles and design constraints embodied in those systems.

COURSE STRUCTURE

The course spans 50 weeks of full-time study and is divided into teaching and project modules. The teaching block is based on 6 modular courses, each comprising approximately 40 hours of lectures (or lecture equivalents) with additional directed study and practical work. All of these modules are augmented by specific case studies, applications and tutorials.

COURSE HIGHLIGHTS

Radio Systems Engineering
A radio receiver design is analysed in detail so that design compromises may be understood. Topics include gain, selectivity, noise figure, dynamic range, intermodulation, spurious output, receiver structures, mixers, oscillators, PLL synthesis, filters and future design trends. This course also includes familiarisation with industry - standard design packages. Introduces key concepts in conventional and novel antenna design. It incovers the following topics: basic antenna structures (eg wire, reflector, patch and helical antennas); design considerations for fixed and mobile communication systems; phased array antennas; conformal and volume arrays; array factor and pattern multiplication; mutual coupling; isolated and embedded element patterns; active match; true time delay systems; pattern synthesis techniques; adaptive antennas; adaptive beamforming and nulling.

Mobile Radio Systems and Propagation
The aim of this module is to investigate the nature of radio propagation in mobile radio environments. This will be achieved through the examination of several modern mobile radio systems. The effects of the propagation environment will also be considered.

Spectrum Management and Utilization
The electromagnetic spectrum is a finite resource which has to be properly managed. This module will address issues related to spectrum management. Topics covered will include: spectrum as a resource; space, time and bandwidth; international regulation organisations and control methods; definitions of spectrum utilisation and spectrum utilisation efficiency; spectrum-consuming properties of radio systems; protection ratio; frequency dependent rejection and the F-D curve; spectrum management tools, models and databases; spectrally-efficient techniques; efficient use of the spectrum.

Electromagnetic Compatability (EMC)
This module provides an introduction to EMC. Topics include fundamental EM interactions and how these give rise to potential incompatibilities between systems; current EMC legislation; test environments and test facilities.

Communication Systems and Digital Signal Processing
Students are introduced to a range of concepts underpinning communications system design. DSP topics include the theory and applications of: real-time DSP concepts/devices; specialist filter applications; A/D and D/A interface technology; review of Fourier/digital filter applicable to DSP; modem design: modulation, demodulation, synchronisation, equalisation; signal analysis and synthesis in time and frequency domain; hands-on experience of DSP tools and DSP applications.

Low Power/Low Voltage Design and VHDL
This module introduces the low power and low voltage design requirements brought about by increasingly small scale sizes of circuit integration. The module also introduces students to VHDL, which is widely used in industry today.

Design Exercise (RF Engineering)
This self-contained exercise aims to introduce the student to aspects of RF engineering, system specification, design and implementation. A design, such as a 2GHz receiver, will be taken through to practical implementation.

Radio Frequency and Microwave Measurements
This covers the theory of EM waves, propagation and scattering. It introduces the student to methods and instruments to measure important EM wave properties such as power and reflection coeffcients.

Active RF and Microwave Circuits
This module provides the student with an appreciation of; noise in microwave systems (basic theory, sources of noise, noise power and temperature, noise figure and measurement of noise); detectors and mixers (diodes and rectification, PIN diodes, single ended mixers, balanced mixers, intermodulation products); microwave amplifiers and oscillators (microwave bipolar transistors and FETs, gain and stability, power gain, design of single stage transistor amlifier, conjugate matching, low noise amplifier design and transistor oscillator design).

PROJECT MODULE
Following a course on research skills and project planning, each student carries out one major project from Easter to September focusing on a real industrial problem. Some projects are carried out ‘on-site’ with our local and national industrial partners. The basics of project planning and structure are taught and supervision will be given whilst the student is writing a dissertation for submission at the end of the course.

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Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.

See the website http://www.ru.nl/masters/ai/computation

Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.

See the website http://www.ru.nl/masters/ai/computation

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This Systems and Control MSc degree aims to develop a sound understanding and knowledge of systems and control, and offers a wide choice of modules to suit your individual needs. Read more
This Systems and Control MSc degree aims to develop a sound understanding and knowledge of systems and control, and offers a wide choice of modules to suit your individual needs. You will learn the combined skills in your chosen area including artificial intelligence for control, image and signal processing, data acquisition and embedded control.

The European Systems and Control course option, requires students to study for modules in a partner EU institution.

WHY CHOOSE THIS COURSE?

Job satisfaction and remuneration prospects are excellent, with employer demand for those with a supply chain background outstripping the supply of suitably qualified applicants.

Enhance your qualifications and release your potential to improve yourself and move your organisation forward.

Classes are taught by academics with a long track record of working with industry and who bring in leading industry experts wherever that is possible.

This Course has been awarded accreditations from the IET and InstMC.

WHAT WILL I LEARN?

Topics: The course has the following six core taught modules:
-Maths and Computing for Control
-Linear Control Engineering
-Digital Computer Control Systems
-Artificial Intelligence for Control
-Control Systems Engineering Project

Option Topics: To complete the programme students should add a further 60 credits from below:
-Non-Linear Control engineering
-System Identification, Parameter Estimation and Filtering
-Self-Tuning and Adaptive Control
-Simulation of Systems
-Data Acquisition and Embedded Control
-Signal and Image Processing
-Single Independent Study

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

Graduates may apply for membership of the Institution of Electrical Engineers and the Institute of Measurement and Control. Career opportunities range from project engineers, systems and control engineers, and computer systems integrators across a wide range of industrial sectors.

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). Read more
An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

The huge growth of interconnected devices expected in the Internet of Things and the goals of flexible, high-speed wireless connections for 5G mobile networks and beyond, require programmable, embedded electronics to play a vital role. From the development of small, intelligence sensors to the design of large-scale network hardware that can be functionally adaptive in software-defined networking, there is a huge demand for advanced embedded electronics knowledge and skills in the communications sector.

Visit the website https://www.kent.ac.uk/courses/postgraduate/1223/embedded-communications-engineering

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media.

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EL829 - Embedded Real-Time Operating Systems (15 credits)
EL849 - Research Methods & Project Design (30 credits)
EL893 - Reconfigurable Architectures (15 credits)
EL896 - Computer and Microcontroller Architectures (15 credits)
EL822 - Communication Networks (15 credits)
EL827 - Signal & Communication Theory II (15 credits)
EL871 - Digital Signal Processing (DSP) (15 credits)
EL872 - Wireless/Mobile Communications (15 credits)
EL873 - Broadband Networks (15 credits)
EL890 - MSc Project (60 credits)

Research areas

- Communications

The Group’s activities cover system and component technologies from microwave to terahertz frequencies. These include photonics, antennae and wireless components for a broad range of communication systems. The Group has extensive software research tools together with antenna anechoic chambers, network and spectrum analysers to millimetre wave frequencies and optical signal generation, processing and measurement facilities. Current research themes include:

- photonic components
- networks/wireless systems
- microwave and millimetre-wave systems
- antenna systems
- radio-over-fibre systems
- electromagnetic bandgaps and metamaterials
- frequency selective surfaces.

- Intelligent Interactions:

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

- Instrumentation, Control and Embedded Systems:

The Instrumentation, Control and Embedded Systems Research Group comprises a mixture of highly experienced, young and vibrant academics working in three complementary research themes – embedded systems, instrumentation and control. The Group has established a major reputation in recent years for solving challenging scientific and technical problems across a range of industrial sectors, and has strong links with many European countries through EU-funded research programmes. The Group also has a history of industrial collaboration in the UK through Knowledge Transfer Partnerships.

The Group’s main expertise lies primarily in image processing, signal processing, embedded systems, optical sensors, neural networks, and systems on chip and advanced control. It is currently working in the following areas:

- monitoring and characterisation of combustion flames
- flow measurement of particulate solids
- medical instrumentation
- control of autonomous vehicles
- control of time-delay systems
- high-speed architectures for real-time image processing
- novel signal processing architectures based on logarithmic arithmetic.

Careers

The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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If you wish to embark on an exciting career in the area of control systems and engineering or are a practising engineer who wishes to update their skills then this is the course for you. Read more
If you wish to embark on an exciting career in the area of control systems and engineering or are a practising engineer who wishes to update their skills then this is the course for you.

This is a challenging course which covers all the major aspects of automatic control systems engineering.

WHY CHOOSE THIS COURSE?

This course covers all the major aspects of automatic control systems engineering, with modules ranging from classical control system design to optimal, adaptive and intelligent control systems, including an introduction to artificial neural networks and evolutionary computing.

This Course has been awarded accreditations from the IET and InstMC.

WHAT WILL I LEARN?

All students study Seven fundamental modules which serve to underpin the remainder of the course:
-Maths & Computing for Control
-Linear Control Engineering
-Digital Computer Control Systems
-Non-Linear Control engineering
-System Identification, Parameter Estimation & Filtering
-Self-Tuning and Adaptive Control
-Control Systems Engineering Project

The remaining Option Topics on the course are:
-Digital Computer Control Systems;
-Simulation of Systems
-Data Acquisition and Embedded Control
-Signal and Image Processing
-Artificial Intelligence for Control
-Single Independent Study

(Students are required to select from the modules above to complete a total of 30 credits.)

In addition, the masters project can be tailored to suit the interests of each individual, and have included in the past: Adaptive model based control of a hot steel rolling mill; Comparison of rule-based and model based control systems; Identification of diesel engine characteristics from operating records and Development of a fuzzy logic gas engine speed controller.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

On completion of this course you can expect to pursue a career in the area of control and systems engineering.

The course also provides the necessary groundwork for a career in research in academia or another such research organisation, including our own Control Theory and Applications Centre (CTAC) and Applied Mathematics Research Group (AMRC).

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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Renewable Energy Systems and the Environment is one of the pathways offered in the Sustainable Engineering programme. This course examines the design and operation of the energy systems that provide the environments in which people live and work. Read more

Why this course?

Renewable Energy Systems and the Environment is one of the pathways offered in the Sustainable Engineering programme.

This course examines the design and operation of the energy systems that provide the environments in which people live and work. It explores how quality of life can be balanced by the need for conservation of world resources.

You’ll learn about different energy resources:
- renewable
- fossil
- nuclear

You’ll look at the systems that are employed to control these resources such as:
- combined heat & power schemes
- heat pumps
- solar capture devices
- high efficiency condensing boilers
- advanced materials
- adaptive control systems

You’ll explore the impact energy has on the environment and how it can be reduced.

Our course has been running for over 20 years and has over 400 graduates. External examiners consistently refer to our beneficial links with industry and the high quality of our project work.

Study mode and duration:
- MSc:12 months full-time, up to 36 months part-time
- PgDip: 9 months full-time

See the website https://www.strath.ac.uk/courses/postgraduatetaught/sustainableengineeringrenewableenergysystemstheenvironment/

You’ll study

Studying at least three generic modules will meet the key requirements to attain Chartered Engineer status.

You must take three specialist modules if you’re studying for the Postgraduate Certificate and up to five if you’re studying for a Postgraduate Diploma or MSc.

Successful completion of six modules leads to the award of a Postgraduate Certificate.

Major projects

- Group project
This usually involves four or five students working together. Each project focuses on a particular energy/environment system and includes a technical appraisal, and, where appropriate, an assessment of its cost effectiveness and environmental impact.
At the end of the project, students perform a presentation during the University’s Knowledge Exchange week to invited guests from industry. This event provides an important networking opportunity for students.

- Individual project
The individual project is an opportunity for students to work independently on an energy topic with a more in-depth analysis than the group project.

Accreditation

The course is approved by the Energy Institute, the Institution of Mechanical Engineers and the Royal Aeronautical Society and meets the academic requirements for Chartered Engineer (CEng) status.
Students are encouraged to take up free membership of these professional organisations.

Facilities

Students have access to departmental laboratories with a range of testing equipment. For example, a recent MSc project included the use of sophisticated thermal measurement of thermal storage materials undertaken in the Advanced Materials Research Laboratory.

Student competitions

Students can enter a number of competitions, which vary year-to-year. Recent examples include:
- District Heating and Cooling (DHC+) Student Competition
- Chartered Institution of Building Services Engineers Simulation Group Award for Best MSc Dissertation

- Guest lectures
Students are regularly invited to talks by research visitors from the Energy Systems Research Unit. Talks on career options are also given by representatives of the Energy Institute.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

The course comprises compulsory technical modules, a choice of broader generic modules, which are recommended by accrediting professional bodies, group projects with industry input, and individual projects.

Teaching methods are varied, and include lectures, discussions, group work, informal reviews, on-line questionnaires, and computer modelling laboratories.

Assessment

Assessment of taught modules are by written assignments and exams. Group projects are assessed by project websites and presentations. Individual projects are assessed on the submitted thesis.

Careers

- Where are they now?
100% of our graduates are in work or further study.*

Job titles include:
- Artificial Intelligence Engineer
- Biomass Engineer
- Renewable Energy Consultant
- Renewable Energy Development Officer
- Technical Analyst

Employers include:
- Greenspan
- Mott Macdonald
- Natural Power
- SSE
- Scottish Power Energy Networks
- The Campbell Palmer Partnership
- RSP Consulting Engineers

*Based on the results of the national Destinations of Leavers from Higher Education Survey (2010/11 and 2011/12).

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/index.jsp

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The Institute for Integrated Micro and Nano Systems brings together researchers from integrated-circuit design, system-on-chip design, image-sensor design, bioelectronics, micro/nano-fabrication, microelectromechanical systems (MEMS), micromachining, neural computation and reconfigurable and adaptive computing. Read more

Research profile

The Institute for Integrated Micro and Nano Systems brings together researchers from integrated-circuit design, system-on-chip design, image-sensor design, bioelectronics, micro/nano-fabrication, microelectromechanical systems (MEMS), micromachining, neural computation and reconfigurable and adaptive computing.

Research interests include:

low-level analogue, low-power, adaptive and bio-inspired approaches
system-on-chip computing
applications from telecommunications to finance and astronomy
In addition we have a strong and growing interest in applications relating to life sciences and medicine, with particular focus on bioelectronics, biophotonics and bio-MEMS.

Training and support

The development of transferable skills is a vital part of postgraduate training and a vibrant, interdisciplinary training programme is offered to all research students by the University’s Institute for Academic Development (IAD). The programme concentrates on the professional development of postgraduates, providing courses directly linked to postgraduate study.

Courses run by the IAD are free and have been designed to be as flexible as possible so that you can tailor the content and timing to your own requirements.

Our researchers are strongly encouraged to present their research at conferences and in journal during the course of their PhD.

Every year, the Graduate School organises a Postgraduate Research Conference to showcase the research carried out by students across the Research Institutes

Our researchers are also encouraged and supported to attend transferable skills courses provided by organisations such as the Engineering and Physical Sciences Research Council (EPSRC).

Facilities

The Institute has laboratory facilities that are unique within the UK, including a comprehensive silicon and MEMS micro-fabrication capability coupled with substantial design and test resources.

The Institute has an excellent reputation for commercialising technology.

Research opportunities

We offer a comprehensive range of exciting research opportunities through a choice of postgraduate research degrees: MSc by Research, MPhil and PhD.

Masters by Research

An MSc by Research is based on a research project tailored to a candidate’s interests. It lasts one year full time or two years part time. The project can be a shorter alternative to an MPhil or PhD, or a precursor to either – including the option of an MSc project expanding into MPhil or doctorate work as it evolves. It can also be a mechanism for industry to collaborate with the School.

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Control Engineering is a multi-disciplinary subject, with applications across a wide range of industrial sectors. The Control Systems Group in the School of Electrical and Electronic Engineering at the University of Manchester has been running an MSc course in Advanced Control and Systems Engineering since 1968. Read more
Control Engineering is a multi-disciplinary subject, with applications across a wide range of industrial sectors. The Control Systems Group in the School of Electrical and Electronic Engineering at the University of Manchester has been running an MSc course in Advanced Control and Systems Engineering since 1968. The course is geared for graduates from a variety of scientific and engineering disciplines.

The aims of the course are to:
-Provide an advanced education in control and systems engineering, emphasising modern theoretical developments and their practical application
-Give a sound fundamental understanding of the principles underlying the operation of control systems
-Enable students to apply modern control principles in various areas of industry

Students acquire a range of intellectual skills that cover the design, analysis and simulation of control systems. A strong emphasis is placed on practical and transferable skills through laboratory exercises and the use of software packages.

Coursework and assessment

The taught part of the course comprises six course units of 15 credits each. This is assessed by written examinations, coursework and laboratory reports.

A strong feature of the course is the dissertation project, which constitutes 60 Credits. The project introduces students to cutting edge control theory and applications.

Course unit details

Typical course units include Control and Computer Laboratory, Linear Optimal Control, Intelligent Systems, Non-linear Controllers & Systems, Self-tuning and Adaptive Systems, Manufacturing Automation and Data Engineering, Fault Detection and Diagnosis, and Process Control Systems.

Career opportunities

In 2008 we celebrated the 40 th anniversary of our MSc course. In that time graduates of the course have achieved top ranking industrial and academic positions in their home countries, in the UK and around the world.

Graduates from the course are employed in a variety of industries, including process and petro-chemical industries, manufacturing, power generation and the automotive and aerospace sectors. Recently there has been a surge in demand for control engineers in the field of biomedicine. More generally feedback control and systems engineering skills play an important part in an ever widening range of high tech applications.

The MSc can also be used a spring board for postgraduate research. Approximately 50% of the current PhD students in the Control Systems Group are graduates from the MSc course.

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Accredited by the British Computer Society. We teach you how to build robust, effective software systems, and how to critique and evaluate the latest software engineering techniques. Read more

About the course

Accredited by the British Computer Society

We teach you how to build robust, effective software systems, and how to critique and evaluate the latest software engineering techniques. Through project work, you’ll learn how to apply your knowledge in the real world.

Genesys: learning on the job

Genesys Solutions is unique: an IT company run by students, with its own premises next to the department. As a student on this course you can join the company to work on software projects for real clients in a real business environment.

Prepare for your career

Our courses give you experience of how real-world projects work. We consult with big employers to ensure that you develop the skills and the personal qualities they’re looking for.

You’ll learn about the issues that matter in global business and industry. Our graduates go into academic and industrial research, the software industry, banking and finance. They work for companies such as Logica, IBM, Hewlett Packard, PWC, Vodafone, the BBC and HSBC.

About us

Our challenge is to use computation to understand all kinds of systems: computer systems, living systems and cognitive systems. Our research areas include robotics, machine learning, speech and language processing, virtual reality, computational systems biology and software verification and testing. It’s work that makes a difference to people’s lives.

Network and hardware

We have our own high-performance network so you can access our advanced computing facilities. There are labs for teaching smaller groups, wi-fi coverage throughout the department, and you can connect your own laptop to the network. Mobile devices and tablets are available for you to borrow for project work.

We also use specialised equipment: an immersive virtual reality facility, robotics hardware and an acoustic booth for speech processing research.

Core modules

Object-Oriented Programming and Software Design; Research Methods and Professional Issues; Dissertation Project; Testing and Verification in Safety-Critical Systems.

Examples of optional modules

Text Processing; Modelling and Simulation of Natural Systems; Speech Processing; Theory of Distributed Systems; 3D Computer Graphics; Computer Security and Forensics; Intelligent Web; Machine Learning and Adaptive Intelligence; Software and Hardware Verification; Software Development for Mobile Devices; Speech Technology; Virtual Environments and Computer Games Technology; Natural Language Processing; Java E-Commerce; Network Performance Analysis; Genesys Solutions (Software House) modules.

Teaching and assessment

We use lectures, tutorials and group work. You can also learn on the job in our student- run software engineering and consultancy business, Genesys Solutions. Assessment is by formal examinations, coursework assignments and a dissertation.

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Professional engineering institutions now require engineers to have at least an MEng or MSc qualification for Chartered Engineer status. Read more
Professional engineering institutions now require engineers to have at least an MEng or MSc qualification for Chartered Engineer status. And with many high-tech engineering companies now operating pan-European and globally, Master's level qualifications are often considered essential for career development.

Key benefits

This course is accredited by the Institution of Mechanical Engineers (IMechE) , which confirms it meets standards set by the Engineering Council for Professional Engineering Competence (UK-SPEC).

Course detail

The MSc Mechanical Engineering is designed to allow BEng and BSc (Hons) Mechanical Engineering graduates, and those from related disciplines, to top up qualifications through the MSc-route equivalent of an MEng Mechanical Engineering. The Department of Engineering Design and Mathematics has a longstanding reputation for offering IMechE-accredited BEng (Hons) and MEng Mechanical Engineering degrees, alongside a range of MSc programmes in related specialised subjects.

Graduates with an in-depth understanding of engineering design and analysis, and the ability to appreciate the challenges of managing complex operations, are in high demand. This course is designed to meet that demand, and to bridge the skills and knowledge gaps for BEng or BSc graduates, and make them more employable. With its foundations in mechanical engineering, this course is a great opportunity to learn how to develop advanced solutions to engineering problems using the latest computer tools and simulations. It also addresses a need for people who work well in project teams, and an extended piece of independent research is a significant part of the course.

Modules

Core modules include:

• Modelling and Simulation
• Computer Vision and Modern Control
• Innovations in Operations Management
• Masters Group Project

Optional modules include:

• Design of Fluid Systems
• Structural Integrity in Design
• Industrial Applications of Vision and Automation
• Robotics Fundamentals
• Intelligent and Adaptive Systems

Assessment

Assessment is through a combination of examinations and coursework, and your dissertation project.

Careers / Further study

An accredited Master's degree in Mechanical Engineering provides an essential stepping stone for any mechanical engineer aspiring to take their career to the highest level. Mechanical engineers are vital to society and the economy. For example, they're often involved in making maximum use of high-capital plants and operations such as power stations, oil refineries, chemical plants and hospitals.

How to apply

Information on applications can be found at the following link: http://www1.uwe.ac.uk/study/applyingtouwebristol/postgraduateapplications.aspx

Funding

- New Postgraduate Master's loans for 2016/17 academic year –

The government are introducing a master’s loan scheme, whereby master’s students under 60 can access a loan of up to £10,000 as a contribution towards the cost of their study. This is part of the government’s long-term commitment to enhance support for postgraduate study.

Scholarships and other sources of funding are also available.

More information can be found here: http://www1.uwe.ac.uk/students/feesandfunding/fundingandscholarships/postgraduatefunding.aspx

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The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. Read more
The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. This English-speaking programme is designed for students with a solid, basic academic background in computer science (Bachelor in Computer Science). The objectives of the programme are to provide a deeper understanding and knowledge of various specializations of computer science and to prepare the student for an active role in computer science research and development. The following specializations are offered: Artificial Intelligence, Multimedia, Software Engineering and Web & Information Systems.

Course outline

All students study a core programme of 30 credits; do a research training of 6 credits and a master thesis of 24 credits. Students should choose one out of four specializations: Artificial Intelligence, Multimedia, Software Engineering, or Web & Information Systems. 30 credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional courses can be taken within the specialization or from another specialization. Finally, 6 credits can be chosen completely freely form any of the VUB courses. This brings the total to 120 ECTS credits. The master thesis as well as the research training needs to be related to the chosen specialization.

Specializations offered

 Artificial Intelligence
The focus in this specialization is on building intelligent software artifacts. The theories of complex dynamic systems and self-organization are emphasized starting from the theory of complex dynamic systems as developed in related fields such as mathematics, physics, and biology. Students will be exposed to current research in the areas of adaptive systems, multi-agent systems, and the origins of language.

 Multimedia
Students in this specialization will conduct in-depth exploration of techniques for signal processing and communication of multimedia content. The program is designed to build thorough technological and scientific knowledge of various multimedia domains such as digital television, telephony and video phony, computer animation, computer games, and the Internet. Students will gain experience with complex ICT architectures for the processing, distribution, and consumption of multimedia content.

 Software Engineering
In this specialization, students gain the skills needed to build complex software applications and software intensive systems. Students are also taught scientifically sound methods, as well as the newest techniques and tools for the developing of software. The curriculum also includes research topics in programming languages and integrated development environments.

 Web & Information Systems
This specialization is geared towards information system development and application development in the context of the Web. Students will learn about data and semantic representation techniques and acquire thorough technological and scientific knowledge related to the newest technological developments for the Web. Students can participate is research in the area of ontologies, new media systems (multimedia, Virtual Reality, games, social systems), and the "Internet of Things".

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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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Progress and innovation in robotics is now faster than ever, and is providing a wide range of industries and professions access to increasingly sophisticated autonomous and remotely operated devices with a widening range of applications and uses including manufacturing, agriculture, security and medicine. Read more
Progress and innovation in robotics is now faster than ever, and is providing a wide range of industries and professions access to increasingly sophisticated autonomous and remotely operated devices with a widening range of applications and uses including manufacturing, agriculture, security and medicine. As well as enjoying a growing commercial side, robotics also supports scientific research in unprecedented ways, giving us access to ever more remote, unpredictable and hazardous locations. Of course, it is also a major global research discipline in its own right, and robotics' progress has created a burgeoning worldwide demand for experts in a range of disciplines in this expanding billion-dollar industry.

Course detail

The MSc Robotics is available through a partnership between UWE Bristol and the University of Bristol, and provides a comprehensive understanding of advanced robotics and automation systems. While providing an excellent background for a range of technology careers that require robotics and automation knowledge and skills, it also offers the specialisms to support doctorate-level studies and ongoing research careers.

Uniquely, the partnership gives you access to the Bristol Robotics Laboratory, a world-leading centre for autonomous robotic systems and robotics research.

Modules

Core modules:
• Robotic Fundamentals (15 credits)
• Image Processing and Computer Vision (10 credits)
• Uncertainty Modelling for Intelligent Systems (10 credits)
• Animation Production (10 credits)
• Intelligent and Adaptive Systems (15 credits)
• Robotic Systems (10 credits)
• Research Skills (20 credits)
• Research Project (60 credits)

Optional modules from:
• Advanced Dynamics
• Computational Neuroscience
• Advanced DSP and FPGA Implementation
• Artificial Intelligence with Logic Programming
• Pattern Analysis and Statistical Learning

Format

You'll learn through a combination of lectures, seminars, group work, and through sessions at the Bristol Robotics Laboratory (BRL). The course is offered in partnership between UWE Bristol and the University of Bristol, and you will attend sessions at UWE Bristol's Frenchay campus, the University of Bristol, and BRL.

Assessment

You will normally be assessed through examination and coursework, as well as the dissertation.

Careers / Further study

The course provides an excellent route into this increasingly important area of industry, and into research and development.

The partnership between UWE Bristol and the University of Bristol has created a unique centre of excellence for engineering, in the heart of one of the UK's most important hubs for engineering industry especially in the aeronautical and electronics sectors. Bristol is a major base for companies such as Airbus, Rolls Royce, Toshiba and Hewlett Packard, with whom both universities enjoy close links.

How to apply

Information on applications can be found at the following link: http://www1.uwe.ac.uk/study/applyingtouwebristol/postgraduateapplications.aspx

Funding

- New Postgraduate Master's loans for 2016/17 academic year –

The government are introducing a master’s loan scheme, whereby master’s students under 60 can access a loan of up to £10,000 as a contribution towards the cost of their study. This is part of the government’s long-term commitment to enhance support for postgraduate study.

Scholarships and other sources of funding are also available.

More information can be found here: http://www1.uwe.ac.uk/students/feesandfunding/fundingandscholarships/postgraduatefunding.aspx

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