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

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

The aims of the programme are:

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

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

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

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

What you'll study

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

Fees and finance

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

Assessment

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

Specialist equipment/facilities

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

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

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

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

Professional recognition

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

Career options

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

Careers and employability

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

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

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The MSc course in Autosport Engineering covers the latest state of-the-art computer based analysis and design techniques used in the automotive industry. Read more
The MSc course in Autosport Engineering covers the latest state of-the-art computer based analysis and design techniques used in the automotive industry. The course has been developed in conjunction with the Automotive Industry and will provide the graduate with an in-depth insight into the key technological areas that are driving automotive engineering design.

On the Engineering Extended MSc you will spend your first semester studying modules that have been written to provide you with the academic, professional and technical skills that you will need to succeed on your chosen award. All engineering students on the Extended MSc study the same modules for one semester and then study specialist modules depending on their chosen discipline. This means that whether you have chosen the Aeronautical, Automotive, Electrical, Electronic, Mechanical, Mechatronic or Telecommunication route, you will study the following modules in your first semester:

Academic English: This module will help you to develop your English Language speaking, listening, reading and writing skills and will introduce you to the conventions of academic writing.

Study skills & Employability: This module will help you to develop the skills and knowledge required to support study at Masters level. It will also help you to develop skills that will aid you in the job market and will look at things such as writing a C.V. and creating a personal development plan.

Engineering Principles: In this module you will undertake a variety of practical, laboratory based exercises giving you a flavour of your future studies and underpinning your future learning. You will be given experience of software tools that might include product design using solid modelling, CFD analysis for aerodynamics and Finite Element Analysis for structural analysis. This will be complemented by time spent in our new and wellequipped automotive, aeronautical and mechanical laboratories.

Mathematical Applications: As an engineering graduate you should already have a strong mathematical knowledge. This module will revise your existing knowledge and introduce you to some of the more advanced mathematical concepts deployed in the field of professional engineering. Where appropriate you will utilise software to support and enhance the problem solving and analysis techniques met in this module, allowing you to hone an essential skill for the modern industry based working environment

After successfully completing the first semester, you will concentrate on your chosen core engineering discipline. You will study a total of 8 core and option modules as set out in your award structure. For information about the structure of your award and the modules you will study after the first semester, please see the award handbooks.
-Further information on theExtended International Masters Programme
-MSc Extended International Engineering Handbook

Course content

MSc Autosport Engineering is based around the use of industry standard engineering software and hardware provided by our partners. The student will gain an in depth understanding of PTC CREO, Cambridge Engineering Selector, ANSYS FEA, Cham Phoenics CFD, Boothroyd Dewhurst DFMA software and will gain hands on experience of related hardware such as Minolta Vi910 laser scanner, TESA coordinate measuring machine, ZCorporation and Startasys rapid prototyping, KRYLE 3 Axis Machining Centre and Beavor Turning Centre, Lister Petter Diesel engine dyno, Race Technology real time data acquisition.

The course consists of 8 taught modules plus a major personal project leading to a written thesis. The taught modules cover the broad range of activities involved in vehicle design. You will study topics such as solid and surface modelling, rapid prototyping, Finite Element Analysis, advanced engine design and aerodynamics.

The subject area of your final thesis can be selected to suit your own aspirations and interests. You will be assigned a supervisor with whom you will work closely to develop an academically challenging portfolio of work. The focus of this project will determine whether you will opt for the title of MSc Automotive or MSc Autosport.

Core modules are:
-Research Methods & Project Management
-Design Technologies for Master
-Structural Integrity
-Advanced Engine Design
-Advanced Vehicle Aerodynamics
-Advanced Vehicle Dynamics
-Control Systems
-Project

Option Modules are:
-Applied Structural Integrity
-Sustainable Design & Manufacture
-Advanced Engineering Materials
-Industrial Placement

The course is based around the use of industry standard engineering software and hardware provided by our partners. The student will gain an in depth understanding of PTC CREO, Cambridge Engineering Selector, ANSYS FEA, Cham Phoenics CFD, Boothroyd Dewhurst DFMA software and will gain hands on experience of related hardware such as Minolta Vi910 laser scanner, TESA coordinate measuring machine, ZCorporation and Startasys rapid prototyping, KRYLE 3 Axis Machining Centre and Beavor Turning Centre, Lister Petter Diesel engine dyno, Race Technology real time data acquisition.

Good laboratory support including a design studio with over 70 Design Workstations, Manufacturing facilities including CNC machining and rapid prototyping systems, and fully equipped automotive workshop.

A placement opportunity of up to 12 months is designed as an option within the course. Unfortunately applicants who require a Tier 4 visa for study in the UK are not able to apply for the Sandwich degree in the first instance due to visa regulations. We encourage International students, once enrolled, to apply for a placement and if successful apply to extend their visa and transfer to the sandwich award.

Graduate destinations

Upon graduation you will be ideally placed to work in an automotive engineering company at a senior level working towards Chartered (CEng) status. If you prefer the course also gives a good grounding in research techniques which could allow you to continue your personal research interests to PhD level.

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Learn the skills to become a future technology leader on this technically oriented game programming course. Study the core C++ and graphics skills essential for contemporary game development and experience the way that gaming projects are developed and managed within the industry. Read more
Learn the skills to become a future technology leader on this technically oriented game programming course. Study the core C++ and graphics skills essential for contemporary game development and experience the way that gaming projects are developed and managed within the industry. Gain access to the largest PlayStation teaching facilities in the world, and use the same software, tools and techniques as the mainstream games industry.

This is a technically oriented course for programmers interested in the technology of games. It is suitable for people seeking employment in programming roles within the games industry. The course focuses on the implementation of real-time 3D applications using the C++ programming language in order to develop your understanding of 3D rendering and shader programming techniques.
You also study low-level hardware architectures for optimisation, including the novel architectures of games consoles and how to exploit them. We teach you project management techniques, including the stages of game production and the structure and operation of the games industry.

This course benefits from strong industry links with companies like Sony Computer Entertainment and Sumo Digital and industry accreditation from Creative Skillset and PlayStation®First. The lecturers have many decades of commercial games industry experience between them and share a passion for developing the next generation of talent.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/msc-games-software-development

PlayStation®First

This course is part of the PlayStation®First Academic Partnership Programme offered by Sony Computer Entertainment Europe (SCEE) and has been awarded PlayStation®First status by fostering best practise in game related development skills across PlayStation® platforms. The programme provides unique access to PlayStation® professional development hardware (dev kits) and software (SDK) to equip students with industry relevant game development skills across PlayStation®4, PlayStation®3, PlayStation®Vita and PlayStation®Portable.

The Steel Minions

Sheffield Hallam University has its own commercially-licensed game studio which provides workplace simulation to students on the University's games degrees. It was the first university studio in the UK to release its own PlayStation® title and has a range of PlayStation, iOS and Android games in development.

Professional recognition

This course is accredited by Creative Skillset (the Creative Industries' Sector Skills Council), PlayStation® First and TIGA (The Independent Game Developers Association).

Course structure

Full time – 13 months
Part time – 2 years
Starts September.

Postgraduate Certificate
-C++ boot camp
-Graphics and animation
-Hardware-oriented software engineering
-Software studio planning

Postgraduate Diploma
-Special techniques for graphics and animation
-Game development practice
-Multi-processing and parallel technologies

MSc
-Research methods
-Individual project

Assessment
PgCert – continuous assessment.
PgDip – continuous assessment involving a large group-based industrial project.
MSc – 25% continuous assessment and 75% individual research project.

Other admission requirements

You must also satisfy us that you have an appropriate level of skill to succeed on the course by demonstrating competency with the C++ programming language. You complete a short multiple-choice test consisting of a series of questions about the C++ language and its associated execution behaviour. We also require one suitable reference. You need to demonstrate appropriate English skills, which is typically shown by having either:
-Completed a degree taught and assessed in English.
-An English GCSE at grade C or better.
-An IELTS score of 6.0 with 5.5 in all skills (or equivalent) is the standard for non-native speakers of English.

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Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers. Read more

Why take this course?

Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers.

This course provides relevant, up-to-date skills that will enhance your engineering competencies. You will broaden your knowledge of electronic engineering and strengthen your ability to apply new technologies in the design and implementation of modern systems.

What will I experience?

On this course you can:

Focus on the practical application and design aspects of electronic systems rather than intensive analytical detail
Experiment with our range of control applications including helicopter development kits and walking robots
Access a wide range of powerful and modern multimedia computational facilities, with the latest industry software installed

What opportunities might it lead to?

This course has been accredited by the Institution of Engineering and Technology (IET) and meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). It will provide you with some of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Here are some routes our graduates have pursued:

Professional electronics
Design
Research and development
Product manufacture
Project management

Module Details

You will study several key topics and complete a four-month individual project in which you apply your knowledge to a significant, in-depth piece of analysis or design. Projects are tailored to your individual interests and may take place in our own laboratories or, by agreement, in industry.

Here are the units you will study:

VHDL and Digital Systems Design: This unit covers the use of a hardware description language (VHDL) to capture and model the design requirement - whilst programmable logic devices enable an implementation to be explored and tested prior to moving into manufacture. The learning will have a practical bias such that experience as well as theory is gained in completing this unit.

Advanced DSP Techniques: This unit aims to introduce you to the fundamentals of statistical signal processing, with particular emphasis upon classical and modern estimation theory, parametric and nonparametric modelling, time series analysis, least squares methods, and basics of adaptive signal processing.

Mixed Signal Processors: This unit focuses on both control and signal processing hardware, how it works, how to interface to it, and software - how to design it and debug it.

Sensors and Measurement Systems: This unit proposes to introduce you to the technologies underpinning measurements including sensors both in terms of hardware and software. It also aims to provide you with an opportunity to apply classroom knowledge in a practical setting and gain an appreciation of modern day requirements in terms of measurement.

Microwave and Wireless Technology: The unit combines team working via a project based learning activity relating to a significant circuit simulation and design problem with lectures aimed at analysing and applying the characteristics of a range of devices used in the microwave and wireless industries.

Communication System Analysis: This unit focuses on basic principles in the analysis and design of modern communication systems, the workhorses behind the information age. It puts emphasis on the treatment of analogue communications as the necessary background for understanding digital communications.

Programme Assessment

You will be taught through a mixture of lectures, seminars, tutorials (personal and academic), laboratory sessions and project work. The course has a strong practical emphasis and you will spend a significant amount of time in our electronic, communications and computer laboratories.

A range of assessment methods encourages a deeper understanding of engineering and allows you to develop your skills. Here’s how we assess your work:

Written examinations
Coursework
Laboratory-based project work
A major individual project/dissertation

Student Destinations

This course is designed to respond to a growing skills shortage of people with core knowledge in advanced electronic engineering. It is an excellent preparation for a successful career in this ever expanding and dynamic field of modern electronics.

On successful completion of the course, you will have gained the skills and knowledge that will make you attractive to a wide variety of employers with interests ranging from overall system design to the more detailed development of subsystems.

Roles our graduates have taken on include:

Electronics engineer
Product design engineer
Aerospace engineer
Application engineer

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For professionals with an engineering background in computing or a related discipline such as electronic or electrical engineering, this masters course will equip you will the skills you need to move into computer and network engineering. Read more
For professionals with an engineering background in computing or a related discipline such as electronic or electrical engineering, this masters course will equip you will the skills you need to move into computer and network engineering. You learn about the hardware and software aspects of computer network technologies and examine their design, specification and integration in a range of applications.

Ideal for you if you are a professional with a background in computer engineering, communication systems or electronic/electrical engineering, and provides you with the skills and knowledge needed to move into computer networking. It is particularly useful for people working in companies that rely on constant innovation in electronics, computer engineering and communications.

Computer networks currently provide the infrastructure for most, businesses, educational institutions, retailers, manufacturers and public services. Many companies rely increasingly on computer and network engineering, which is now a global discipline.

This course is hardware and software based, and examines the design, specification, and integration of current and next generation computer and communications network technologies.

This course provides an opportunity for you to
-Increase the depth of your technical knowledge.
-Develop your computer hardware and software skills.
-Gain a thorough working knowledge of computer engineering.
-Study the latest technologies used in modern day computer networking systems and their applications.
-Gain the skills needed to design, develop and maintain computer network systems.

You may wish to expand your current knowledge and expertise if you already have computer networking skills or possibly move into a new area of engineering and have the necessary entry requirements for this course.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/msc-computer-and-network-engineering

Professional recognition

This programme is CEng accredited by the Institution of Engineering and Technology (IET) and fulfils the educational requirements for registration as a Chartered Engineer when presented with an CEng accredited Bachelors programme.

Course structure

Full time – 12 to 18 months.
Part time – typically 3 years, maximum 6 years.
Starts September and January.

Modules
The course is based around two main themes, communication and networks, and computer engineering. You study eight modules plus a major project.
-Communications and network modules
At least three from: communication engineering, communication media, communication networks, network applications.
-Computer engineering modules
At least three from: microprocessor engineering, object-oriented methods, operating systems, software engineering.
-Option modules
Up to two from: applicable artificial intelligence, digital signal processing, embedded systems.
-Project (equivalent to four modules)
You undertake a major project under the supervision of a tutor.

Assessment: by final examination, coursework and project reports.

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Accredited by the British Computer Society. Speech and language technology graduates are in demand, in areas like machine translation, document indexing and retrieval, and speech recognition. Read more

About the course

Accredited by the British Computer Society

Speech and language technology graduates are in demand, in areas like machine translation, document indexing and retrieval, and speech recognition. Our world-leading language and speech research staff will help you to develop the skills you need.

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

Research Methods and Professional Issues; Dissertation Project; Text Processing; Natural Language Processing; Speech Processing; Speech Technology; Machine Learning and Adaptive Intelligence.

Examples of optional modules

Object-Oriented Programming and Software Design; Modelling and Simulation of Natural Systems; Theory of Distributed Systems; 3D Computer Graphics; Computer Security and Forensics; Testing and Verification in Safety-critical Systems; Intelligent Web; Software and Hardware Verification; Software Development for Mobile Devices; Virtual Environments and Computer Games Technology; Java E-Commerce; Network Performance Analysis.

Teaching and assessment

We use lectures, tutorials and group work. Assessment is by formal examinations, coursework assignments and a dissertation.

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Accredited by the British Computer Society. Turn your fascination with how things work into a successful career in business or industry. Read more

About the course

Accredited by the British Computer Society

Turn your fascination with how things work into a successful career in business or industry. We’ll give you an advanced education in the most up-to-date aspects of computer science and software engineering, informed by our wide-ranging research interests. Innovative project work will teach you how to apply your knowledge in the real world.

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.

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; Testing and Verification in Safety-critical Systems; 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.

Teaching and assessment

We use lectures, tutorials and group work. Assessment is by formal examinations, coursework assignments and a dissertation.

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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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MSc. This MSc provides advanced training in Electronics, Communications and Computer Engineering. Read more
MSc:

This MSc provides advanced training in Electronics, Communications and Computer Engineering. It will give students a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The course provides an excellent basis for engineers wishing to update their knowledge, students who wish to go on to do research, or for first degree students wishing to enhance their training.

Students will develop:
the design, analytical and critical powers in relation to hardware and software aspects of complex electronic systems
the ability to plan and undertake an individual project
interpersonal, communication and professional skills
the ability to communicate ideas effectively in written reports
decision making powers in relation to the specification and solution of embedded system design, system-on-chip (SoC) and electronic engineering problems for appropriate
electronic systems and computer systems

Following the successful completion of the taught modules, an individual research project is undertaken during the summer term.

Previous research projects on this course have included:
FPGA implementation of the optimized SIFT Algorithm for an image matcher
Zigbee-Based generic wireless data acquisition systems
Digital pulse position modulation for free space optical communication

Please see the school web pages for further details of the PG Dip course.

Scholarship information can be found at http://www.nottingham.ac.uk/graduateschool/funding/index.aspx

PGDip:

This Postgraduate Diploma provides advanced training in electronics, communications and computer engineering.

The course aims to provide you with a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The programme provides an excellent basis for engineers wishing to update their knowledge, or for first degree students wishing to enhance their training.

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Computer Systems Engineering is a well-established branch of Computer Science, closely related to Electrical Engineering, and concerned with software-hardware integration and the development of high-performance and energy-efficient embedded systems, for example as used in mobile computing. Read more
Computer Systems Engineering is a well-established branch of Computer Science, closely related to Electrical Engineering, and concerned with software-hardware integration and the development of high-performance and energy-efficient embedded systems, for example as used in mobile computing. Aspects covered include questions such as how software can be designed to make use of new, ever more powerful (and often multicore) hardware, or how hardware can be designed to support certain software paradigms. The School of Computer Science is home to internationally renowned research groups working on these challenging tasks, and students following the Computer Systems Engineering pathway will have the opportunity to profit from their understanding of current technology and visions of how to exploit, for example, the formidable complexity of the billion transistor microchips that semiconductor technology will make commonplace over the next decade.

This pathway combines two themes, namely the Parallel Computing in the Mulit-core Era theme and the Mobile Computing theme. The former provides the student with techniques and tools to successfully develop concurrent multicore systems, while alleviating problems of correctness, reliability, performance and system management. The latter provides the student with an understanding of the current state of the art in computing to support mobility for telecommunications.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

The MSc in Advanced Computer Science has an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Manchester Computer Science MSc courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.

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This Masters in Computer Systems Engineering exposes students to state-of-the-art miniaturised and mobile computer systems and smart device technology, allowing them to acquire the complementary hardware and software knowledge and skills required for understanding and designing such systems. Read more
This Masters in Computer Systems Engineering exposes students to state-of-the-art miniaturised and mobile computer systems and smart device technology, allowing them to acquire the complementary hardware and software knowledge and skills required for understanding and designing such systems.

Why this programme

◾You will be taught jointly by the Schools of Engineering and Computing Science. You will benefit from their combined resources and expertise and from an industry-focused curriculum.
◾Electronic and Electrical Engineering at the University of Glasgow is consistently highly ranked recently achieving 1st in Scotland and 4th in the UK (Complete University Guide 2017).
◾If you are a computer engineering graduate, this programme will enhance your knowledge; if you are an electronic engineering graduate you can focus on developing your software skills; or if you are computer science graduate you can focus on developing your hardware skills.
◾With a 92% overall student satisfaction in the National Student Survey 2015, Electronic and Electrical Engineering at the School of Engineering combines both teaching excellence and a supportive learning environment.

Programme structure

Modes of delivery of the MSc in Computer Systems Engineering include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses
◾Digital signal processing
◾Either networked systems or computer communications
◾Human–computer interaction
◾Software and requirements engineering
◾MSc project.

Optional courses typically include
◾Advanced operating systems
◾Artificial intelligence
◾Computer architecture
◾Digital communications 4
◾Human-centred security
◾Information retrieval
◾Internet technology
◾Microwave and millimetre wave circuit design
◾Optical communications
◾Real time embedded programming
◾Safety critical systems.

Projects

◾In addition to taught work and practical assignments you will also complete a joint research project worth 60 credits in one of the state-of-the-art laboratories in the schools.
◾This extended project is an integral part of the MSc programme: many of these are linked to industry while others are related to research in either of the participating Schools.
◾The project is an important part of your MSc where you can apply your newly learned skills and show to future employers that you have been working on cutting edge projects relevant to the industry.
◾You can choose a topic from a list of MSc projects in Computer Systems Engineering. Alternatively, should you have your own idea for a project, department members are always open to discussion of topics.

Example projects

Examples of projects can be found online

*Posters shown are for illustrative purposes

Industry links and employability

◾As computer systems have reduced in size, and are increasingly mobile with more complex functionalities, they are now a fundamental component of smart device technology.
◾This postgraduate programme is particularly suited to acquiring the complementary hardware and software knowledge and skills required for understanding and designing such systems.
◾The programme makes use of the combined resources and complementary expertise of the engineering and computing science staff to deliver a curriculum which is relevant to the needs of industry.
◾The School of Computing Science has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributions in Computer Systems Engineering include: IBM, J.P. Morgan, Amazon, Adobe and Red Hat.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the computer/software industry.
◾The Computer Systems Engineering MSc programme also provides excellent preparation for those wanting to pursue a PhD in a similar research field.

Career prospects

Career opportunities include positions in software development, chip design, embedded system design, telecommunications, video systems, automation and control, aerospace, development of PC peripherals and FPGA programming, defence and services for the heavy industries, for example generator and industrial motor control systems, etc.

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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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Our Masters in Electrical and Electronic Engineering is a specialist course designed for engineering graduates to enhance their skills in this area of high technology. Read more
Our Masters in Electrical and Electronic Engineering is a specialist course designed for engineering graduates to enhance their skills in this area of high technology. The ever increasing pace of developments in all areas of electrical and electronic engineering, (and in particular in the systems that are related to energy and the environment), requires engineers with a thorough understanding of operation principles and design methods for various modern electrical and electronic systems. As a graduate you'll be able to not only respond to the latest changes but also to look ahead and help in shaping future developments.

The unique features of this course are that the traditional electrical and electronic engineering subjects are supported by the more modern topics of computer control and machine learning techniques, which are at the forefront of modern electrical and electronic systems in the industry today. This course offers an integrated systems approach to engineering, incorporating modules in advanced power electronics and renewable energy systems, advanced instrumentation and control with signal processing, real-time systems and machine learning techniques.

There is an increasing demand for skilled engineers who are able to design and maintain electrical and electronic systems that are at the forefront of current technologies. These positions cover many industries, hence graduates from this course can expect significantly enhanced job prospects in electrical, electronic as well as systems engineering.

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

Modules

- Digital signal processing
This module introduces the theory behind digital signal processing and how DSP can be implemented in real-time. You will gain an understanding of how to program hardware to perform fundamental DSP algorithms such as filtering and spectral analysis. You will gain a fundamental understanding of DSP algorithms and how to implement them in hardware for real-time applications.

- 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 assignments to inculcate the basics of machine learning and classification. The module covers the fundamentals of pattern recognition and provides the essential background to machine learning and classification.

- Advanced instrumentation and control
This module develops advanced techniques in data acquisition and manipulation required for instrumentation and control applications. Further, it consolidates lectures with experimental computer-based assignments using industry standard hardware and software (NI DAQ and LabView). The module develops your knowledge and experience in data acquisition and virtual instrumentation used in Industry for control purposes.

- Advanced power electronics and renewable energy systems
The material in this module is divided into two parts. The first part covers the analysis and operation of power electronics and machines and their application in the areas of power conversion, power conditioners and electrical machine drives mostly, found on the 'load' side of the electrical power system but sometimes integrated into the supply network. This part will also include elements of computer control systems that are designed to produce non-sinusoidal waveforms and methods of dealing with undesirable harmonics and their effects on the power network. The second part of the module will focus on renewable energy and sustainability. This will include: solar cells, biomass, wind and wave power; intelligent environmental sensing and feedback (in areas of pollution, petroleum, energy consumption, etc.); and renewable design and effectiveness (solar, wind and wave).

- Technology evaluation and commercialization
In this module you will follow a prescribed algorithm in order to evaluate the business opportunity that can be created from a technology's unique advantages. You will be guided towards identifying a technology project idea that you will evaluate for its business potential. To do this you will conduct detailed research and analysis following a prescribed algorithmic model, in order to evaluate the business potential of this technology idea. The outcomes from this will serve as the basis for implementation of the selected technology in the business sense. Thus you will develop the appropriate commercialisation strategy and write the business plan for their high-tech start-up company.

- Technical, research and professional skills
This module provides training for the skills that are necessary for successful completion of the MSc studies in the near future and for professional development in the long-term future. More specifically, the module teaches how to search and gather relevant technical information, how to extract the essence from a piece of technical literature, how to carry out a critical review of a research paper, how to write a feasibility report, how to give presentations and put your thoughts across effectively, and how to manage a project in terms of time and progress in a group project environment. These are designed to enhance the technical and analytical background that is necessary for the respective MSc stream.

- MSc engineering project
This module requires you to undertake a major project in an area that is relevant to their MSc course. You will chose your project and carry it out under the guidance of your supervisor. At the end of the project, you are required to present a dissertation, which forms a major element of the assessment. The dissertation tests your ability to integrate information from various sources, to conduct an in-depth investigation, to critically analyse results and information obtained and to propose solutions. The other element of the assessment includes an oral presentation. The Individual Project carries 60 credits and is a major part of MSc program.

Employability

The acquired skills in computer control and AI techniques offer additional scope for jobs in the design of decision support systems that cross traditional boundaries between engineering and other disciplines. (i.e. medical, finance). Successful graduates will enjoy exciting career opportunities from a wide range of industries, such as electrical energy supply and control, electronics and instrumentation products and services, intelligent systems and automation to include: automotive, aerospace, electrical and electronic consumer products, telecommunications. The students can also pursue PhD studies after completing the course.

Engineering management skills

Engineering employers have expressed their need for engineers with a solid grasp of the business requirements that underpin real engineering projects. Our course incorporates a management-related module focused on entrepreneurship and project management. This management module develops our graduates' commercial awareness and ensures that they have the skill-set valued by industry employers.

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 has a strong culture of research and extensive research links with industry through consultancy works and Knowledge Transfer Partnerships (KTPs). Teaching content on our courses is closely related to the latest research work.

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This MSc concentrates on the commercially important and rapidly expanding area of embedded digital systems. It is the ideal choice if you plan a career in embedded systems engineering, or for professional development if you already work in the engineering industry. Read more
This MSc concentrates on the commercially important and rapidly expanding area of embedded digital systems. It is the ideal choice if you plan a career in embedded systems engineering, or for professional development if you already work in the engineering industry.

Embedded systems are at the heart of many engineering devices and you will investigate how they are designed and implemented in hardware and software. You will learn how to critically understand and apply circuit and system simulation techniques, with an emphasis on products that incorporate embedded technology. You will also understand the design of embedded systems, including microcontroller architectures and real-time embedded hardware operating systems.

The course has significant input from industry and as part of the course you will be given the chance to undertake a 6-month unpaid internship*. Whilst not compulsory, internships provide the opportunity to put the theory you’ve learned in the classroom into practice in the real world.

Routes of study:
The course is available to study via two routes:
- MSc Embedded Systems Design (with internship)
- MSc Embedded Systems Design (without internship)

Please note: *Internships are available to full-time students only. Internship places are limited. Students have the opportunity to work in a participating UK company or within a Research Centre at the University. You can also opt to study the course without an internship which will reduce your course length.

See the website http://courses.southwales.ac.uk/courses/1492-msc-embedded-systems-design-with-internship

What you will study

Modules include:
- Embedded Systems Design
- Designing with RTOS
- Digital Design with HDLs
- Research Methodology and Product Management
- Opto-Electronics Devices for Life Science and Measurement
- Applied Digital Signal Processing
- * Six month Internship*
- Msc Major Project (60 credits)

Learning and teaching methods

MSc Embedded Systems Design is delivered in three major blocks that offer an intensive but flexible learning pattern, with two entry opportunities for applicants each year in February and September. You will learn to use the latest computer-aided engineering tools and techniques for the design, manufacture and testing of electronic products. There are six taught modules and an 18-week major project. If you study part-time, you will study three modules per year.

The course is available to study via two main routes, you can opt to add further value to your studies by undertaking an internship or simply focus on building your academic knowledge through a on-campus study as detailed below:


MSc Embedded Systems Design (with internship):

- Delivery: Full-time only | Start dates: September and February
If you choose to undertake an internship, your course will be delivered in four major blocks that offer an intensive but flexible learning pattern. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week. This is followed by 6 month period of internship, after which the student returns to undertake a 16-week major research project. Please note: Course length may vary dependent on your chosen start date.


MSc Embedded Systems Design (without internship):

- Delivery: Full-time and Part-time | Start dates: September and February
The study pathway available without internship is available full-time and part-time. The full-time route is delivered in three major blocks. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week followed by a 16-week major research project. The full-time course duration is about 12 months, if you study part-time then you will complete the course in three years. Part-time study involves completing three modules in each of the first two years and a major research project in the final year. The use of block-mode delivery in this way allows flexible entry and exit, and also enables practising engineers to attend a single module as a short course.

Work Experience and Employment Prospects

Many industries need specialists in embedded systems design, and by the time you graduate, your skills and knowledge will be highly desired by employers. Careers are available in industrial and technology sectors such as embedded systems hardware or software development, telecommunication implementations, instrumentation, general real-time device applications, and signal processing development.

Internship

Internships are only available to students studying full-time: Following successful completion of six taught modules, you will be competitively selected to join participating UK companies or University Research Centres on a six-month period of unpaid work placement before returning to undertake your major research project. All students who have an offer for the MSc Embedded Systems Design (with internship) are guaranteed an internship either in industry or in a University Research Centre.

There are 10 internship places available. Students who wish to undertake an internship must apply for the MSc Embedded Systems Design (with internship). It is anticipated that there will be significant demand for this programme and applicants are advised to apply as soon as possible to avoid disappointment. Applications will be considered on a first come first served basis and the numbers of students offered a place on the programme with internship will be capped.

If the course is already full and we are unable to offer you a place on the Masters course with internship, we may be able to consider you for the standard MSc Embedded Systems Design (without internship) which is a shorter programme.

Assessment methods

Typically, each module will be assessed through coursework.

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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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