Masters Degrees (Industrial Robotics)

WHAT YOU WILL GAIN:

- Skills and know-how in the latest and developing technologies in instrumentation, process control and industrial automation
- Practical guidance and feedback from industrial automation experts from around the world
- Live knowledge from the extensive experience of expert instructors
- Credibility and respect as the local industrial automation expert in your firm
- Global networking contacts in the industry
- Improved career choices and income
- A valuable and accredited Master of Engineering (Industrial Automation)** qualification

Next intake is scheduled for June 27, 2016. Applications now open; places are limited.

Now also available on Campus.

INTRODUCTION

The respected International Society of Automation (ISA) estimated that at least 15,000 new automation engineers are needed annually in the US alone. Many industrial automation businesses throughout the world comment on the difficulty in finding experienced automation engineers despite paying outstanding salaries.

The Master of Engineering (Industrial Automation) perfectly addresses this gap in the Industrial Automation industry. The program's twelve core units, and project thesis, provide you with the practical knowledge and skills required. Students with a background in electrical, mechanical, instrumentation and control, or industrial computer systems engineering can benefit from this program.

The content has been carefully designed to provide you with relevant concepts and the tools required in today’s fast-moving work environment. For example, Power Engineering covers major equipment and technologies used in power systems, including power generation, transmission and distribution networks. Programmable Logic Controllers covers in-depth principles of operation of programmable controllers, networking, distributed controllers, and program control strategies. Industrial Process Control Systems combines the process identification and feedback control design with a broad understanding of the hardware, system architectures and software techniques widely used to evaluate and implement complex control solutions. Industrial Instrumentation identifies key features of widely used measurement techniques and transducers combined with microprocessor devices to create robust and reliable industrial instruments. Process Engineering will enable students to evaluate and apply complex process calculations through application of control principles. Industrial Data Communications provides the requisite knowledge to manage modern field buses and industrial wireless systems. Safety Systems provides an introduction to the common safety philosophy of hazard identification, risk management and risk-based design of protection methods and functional safety systems. SCADA and DCS cover hardware and software systems, evaluation of typical DCS and SCADA systems and configuration of DCS controllers. Special Topics enable students to incorporate current technologies and the knowledge acquired from the entire course and thus solve complex Industrial Automation problems.

The Masters project, as the capstone of the course, requires a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding subjects. As a significant research component of the course, this project will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling students to critique current professional practice in the Industrial Automation industry.

ENTRANCE REQUIREMENTS

To gain entry into the Master of Engineering (Industrial Automation), applicants need one of the following:
a) a recognized 3-year bachelor degree in an engineering qualification in a congruent* field of practice with relevant work experience**.
b) a 4-year Bachelor of Engineering qualification (or equivalent), that is recognized under the Washington Accord or Engineers Australia, in a congruent*, or a different field of practice at the discretion of the Admissions Committee.
c) a 4-year Bachelor of Engineering qualification (or equivalent) that is not recognized under the Washington Accord, in a congruent* field of practice to this program.

AND

An appropriate level of English Language Proficiency equivalent to an English pass level in an Australian Senior Certificate of Education, or an IELTS score of 6.5 (with no individual band less than 6), or equivalent as outlined in the EIT Admissions Policy.

*Congruent field of practice means one of the following with adequate Industrial Automation content (fields not listed below to be considered by the Dean and the Admissions Committee on a case-by-case basis):
• Industrial Automation
• Industrial Engineering
• Instrumentation, Control and Automation
• Mechanical Engineering
• Mechanical and Material Systems
• Mechatronic Systems
• Manufacturing and Management Systems
• Electrical Engineering
• Electronic and Communication Systems
• Chemical and Process Engineering
• Robotics
• Production Engineering

**Substantial industrial experience in a related field is preferred, with a minimum of two years’ relevant experience.

PROGRAM STRUCTURE

Students must complete 48 credit points comprised of 12 core subjects and one capstone thesis. The thesis is the equivalent of one full semester of work. There are no electives in this course. The course duration is two years full time, or equivalent. Subjects will be delivered over 4 semesters per year. Students will take 2 subjects per semester and be able to complete 8 subjects per year. There will be a short break between semesters. Each semester is 12 weeks long.

LIVE WEBINARS

During the program you will participate in weekly interactive sessions with the lecturers and other participants from around the world. Each unit's weekly live tutorial will last 60 to 90 minutes. We take student availability into consideration wherever possible before scheduling webinar times. All you need to participate is an adequate Internet connection, speakers and a microphone. The software package and setup details will be sent to you at the start of the program.

COURSE FEES

EIT provides distance education to students located almost anywhere in the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. A full list of fees in a currency appropriate for every country would be complex to navigate and, with today’s exchange rate fluctuations, difficult to maintain. Instead we aim to give you a rapid response regarding fees that is customized to your individual circumstances.

We understand that cost is a major consideration before a student commences study. For a rapid reply to your query regarding courses fees and payment options, please query via the below button and we will respond within 2 business days.

Read less

WHAT YOU WILL GAIN:

- Skills and know-how in the latest and developing technologies in instrumentation, process control and industrial automation
- Practical guidance and feedback from industrial automation experts from around the world
- Live knowledge from the extensive experience of expert instructors
- Credibility and respect as the local industrial automation expert in your firm
- Global networking contacts in the industry
- Improved career choices and income
- A valuable and accredited Master of Engineering (Industrial Automation)** qualification

Perth Campus next intake is scheduled for June 27, 2016. Applications now open; places are limited.

INTRODUCTION

The respected International Society of Automation (ISA) estimated that at least 15,000 new automation engineers are needed annually in the US alone. Many industrial automation businesses throughout the world comment on the difficulty in finding experienced automation engineers despite paying outstanding salaries.

The Master of Engineering (Industrial Automation) perfectly addresses this gap in the Industrial Automation industry. The program's twelve core units, and project thesis, provide you with the practical knowledge and skills required. Students with a background in electrical, mechanical, instrumentation and control, or industrial computer systems engineering can benefit from this program.

The content has been carefully designed to provide you with relevant concepts and the tools required in today’s fast-moving work environment. For example, Power Engineering covers major equipment and technologies used in power systems, including power generation, transmission and distribution networks. Programmable Logic Controllers covers in-depth principles of operation of programmable controllers, networking, distributed controllers, and program control strategies. Industrial Process Control Systems combines the process identification and feedback control design with a broad understanding of the hardware, system architectures and software techniques widely used to evaluate and implement complex control solutions. Industrial Instrumentation identifies key features of widely used measurement techniques and transducers combined with microprocessor devices to create robust and reliable industrial instruments. Process Engineering will enable students to evaluate and apply complex process calculations through application of control principles. Industrial Data Communications provides the requisite knowledge to manage modern field buses and industrial wireless systems. Safety Systems provides an introduction to the common safety philosophy of hazard identification, risk management and risk-based design of protection methods and functional safety systems. SCADA and DCS cover hardware and software systems, evaluation of typical DCS and SCADA systems and configuration of DCS controllers. Special Topics enable students to incorporate current technologies and the knowledge acquired from the entire course and thus solve complex Industrial Automation problems.

The Masters project, as the capstone of the course, requires a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding subjects. As a significant research component of the course, this project will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling students to critique current professional practice in the Industrial Automation industry.

ENTRANCE REQUIREMENTS

To gain entry into the Master of Engineering (Industrial Automation), applicants need one of the following:
a) a recognized 3-year bachelor degree in an engineering qualification in a congruent* field of practice with relevant work experience**.
b) a 4-year Bachelor of Engineering qualification (or equivalent), that is recognized under the Washington Accord or Engineers Australia, in a congruent*, or a different field of practice at the discretion of the Admissions Committee.
c) a 4-year Bachelor of Engineering qualification (or equivalent) that is not recognized under the Washington Accord, in a congruent* field of practice to this program.

AND

An appropriate level of English Language Proficiency equivalent to an English pass level in an Australian Senior Certificate of Education, or an IELTS score of 6.5 (with no individual band less than 6), or equivalent as outlined in the EIT Admissions Policy.

*Congruent field of practice means one of the following with adequate Industrial Automation content (fields not listed below to be considered by the Dean and the Admissions Committee on a case-by-case basis):
• Industrial Automation
• Industrial Engineering
• Instrumentation, Control and Automation
• Mechanical Engineering
• Mechanical and Material Systems
• Mechatronic Systems
• Manufacturing and Management Systems
• Electrical Engineering
• Electronic and Communication Systems
• Chemical and Process Engineering
• Robotics
• Production Engineering

**Substantial industrial experience in a related field is preferred, with a minimum of two years’ relevant experience.

PROGRAM STRUCTURE

Students must complete 48 credit points comprised of 12 core subjects and one capstone thesis. The thesis is the equivalent of one full semester of work. There are no electives in this course. The course duration is two years full time, or equivalent. Subjects will be delivered over 4 semesters per year. Students will take 2 subjects per semester and be able to complete 8 subjects per year. There will be a short break between semesters. Each semester is 12 weeks long.

LIVE WEBINARS

During the program you will participate in weekly interactive sessions with the lecturers and other participants from around the world. Each unit's weekly live tutorial will last 60 to 90 minutes. We take student availability into consideration wherever possible before scheduling webinar times. All you need to participate is an adequate Internet connection, speakers and a microphone. The software package and setup details will be sent to you at the start of the program.

COURSE FEES

EIT provides distance education to students located almost anywhere in the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. A full list of fees in a currency appropriate for every country would be complex to navigate and, with today’s exchange rate fluctuations, difficult to maintain. Instead we aim to give you a rapid response regarding fees that is customized to your individual circumstances.

We understand that cost is a major consideration before a student commences study. For a rapid reply to your query regarding courses fees and payment options, please query via the below button and we will respond within 2 business days.

Read less

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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Taking BEng (Hons) Robotics to the next level, this MEng course digs deeper into the robotic technologies that are shaping today and tomorrow. Providing an extra year of insight and training, your learning will be informed by robotics research pushing boundaries worldwide led by our very own teaching staff. You’ll build technical and managerial skills that you can put into practice daily, through a final group project that will set your course for success when you graduate.

You will experience learning that meets the highest standard academic requirements set by The Institution of Engineering and Technology (IET). You will draw on unique opportunities to engage in world-class robotics research, and in a variety of activities. You’ll capitalise on the opportunity to take a work placement in your second or third year, putting your robotics skills into action in the real world. You will take the fastest route to Chartered Engineer status.

Key features

-Benefit from outstanding teaching: in the 2016 National Student Survey 93 per cent of our final year students said that “The course is intellectually stimulating”.*
-Immerse yourself in a degree accredited by the Institution for Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer (CEng).
-Keep pace with the fast-moving world of robotics, on a course that cuts a path through the latest research across technologies and disciplines.
-Take the fastest route to Chartered Engineer status.
-Experience learning that meets the highest standard academic requirements set by The Institution of Engineering and Technology (IET).
-Undertake a major robotics design and implementation in your final project, showcasing your technical and managerial skills. Develop your technical content, legal and business skills as well as team working and project planning.
-Capitalise on the opportunity to take a work placement in your second or third year, putting your robotics skills into action in the real world.
-Rise to the challenge as part of the Plymouth Humanoids team, battling it out in a variety of international robot competitions.
-Develop professional writing skills as well as strengthening your technical design skills.
-Refine your professional project management skills, with dedicated professional support from staff across the entire final year on every different aspect of your project.
-Work alongside internationally-renowned staff in a leading service and cognitive robotics research environment.
-Draw on unique opportunities to engage in world-class robotics research, and in a variety of activities (for example, in the humanoid robot football, Federation of International Robot-soccer Association (FIRA) competition).

Course details

Year 1
In your first year you'll learn through doing, developing your knowledge and practical problem solving skills in our dedicated robotics and communications laboratories. From analogue and digital electronics to engineering mathematics, you'll build up the essential foundations of robotics. Group project work will also help you develop your communication skills and you'll learn structured design procedures for hardware and software all brought together in an integrating robotics project.

Core modules
-ELEC143 Embedded Software in Context
-BPIE112 Stage 1 Electrical/Robotics Placement Preparation
-ELEC141 Analogue Electronics
-ELEC142 Digital Electronics
-ELEC144 Electrical Principles and Machines
-MATH187 Engineering Mathematics

Optional modules
-ELEC137PP Electronic Design and Build
-ROCO103PP Robot Design and Build

Year 2
Throughout your second year, you'll develop a greater understanding of underlying engineering principles and circuit design methods. Again there's an emphasis on team-work, with the opportunity to do both group and individual presentations of your projects. You'll use industrial standard software tools for design and simulation, data monitoring and control, all valuable preparation for your final year individual project or for a placement year.

Core modules
-MATH237 Engineering Mathematics and Statistics
-ROCO222 Introduction to Sensors and Actuators
-BPIE212 Stage 2 Electrical/Robotics Placement Preparation
-ROCO224 Introduction to Robotics
-ROCO218 Control Engineering
-ELEC240 Embedded Systems
-ELEC241 Real Time Systems

Optional placement year
Your optional work placement experience gives opportunities to put theory into practice, grow your understanding of robotics in the real world and showcase your growing expertise. We can help you find industrial placement opportunities in the UK, France, Germany or even Japan. Placements will complement your studies with on-the-ground experience and could lead to final year sponsorship. Many of our graduates are offered permanent jobs with their placement company.

Core modules
-BPIE332 Electrical Industrial Placement

Year 4
This is when your skills, expertise and know how come into their own. Through your individual project you'll consolidate your knowledge, explore and evaluate new technologies and showcase your potential. You'll demonstrate your communication skills in an oral and written presentation of your project. Refining the independent learning skills you've developed throughout the course, you'll build a proactive, imaginative and dynamic approach to learning, vital for your future robotics career.

Core modules
-ROCO318 Mobile and Humanoid Robots
-PROJ324 Individual Project
-ELEC351 Advanced Embedded Programming
-AINT308 Machine Vision and Behavioural Computing

Optional modules
-ELEC345 High Speed Communications
-AINT351 Machine Learning

Final year
The MEng includes additional technical modules and a large interdisciplinary design project. There is also the possibility of continuing your studies to MSc level in the same academic year.

Core modules
-ROCO503 Sensors and Actuators
-ROCO504 Advanced Robot Design
-PROJ515 MEng Project
-AINT512 Science and Technology of Human-Robot Interaction

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

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Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to deliver this MRes, which uniquely covers the whole spectrum of potential RAS areas and application.

Degree information

The programme teaches students the essentials of robotic and computational tools for robotics and autonomous systems. The key aim of the principal project thesis is to cultivate a deep understanding of robotics research, with a particular focus on a specific research topic in robotics and autonomous systems.

Students undertake modules to the value of 180 credits. The programme consists of one core module (15 credits), two optional modules (30 credits), two elective modules (30 credits), and a dissertation/report (105 credits).

Core modules
-Robotic Systems Engineering

Optional modules
-Robotic Control Theory and Systems
-Robotic Sensing, Manipulation and Interaction
-Robotic Vision and Navigation
-Numerical Optimisation
-Students also choose two elective MSc modules from across UCL Computer Science, UCL Medical Physics & Biomedical Engineering, UCL Mechanical Engineering and UCL Bartlett School of Architecture.

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 30,000 words.

Teaching and learning
Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars. Assessment is through examination, individual and group projects and presentations, and design exercices.

Careers

Robotics is a growing field encompassing many technologies with tremendous opportunities for research and development both in industry and in academia, and with diverse applications across different industrial sectors spanning manufacturing, security, mining, design, transport, exploration and healthcare. Graduates from our MRes programme will will have project-focused experience and knowledge in robotics and the underpinning computational and analytical fundamentals. These skills will position graduates to be well placed to undertake PhD studies or industrial research and development in robotics and computational research specific to robotics but translational across different analytical disciplines, or applied fields that will be influenced by new robotic technologies and capabilities.

Employability
The MRes will develop skills widely relevant to a career in engineering industries and analytical problem-solving occupations. Graduates with skills to develop new robotics solutions and solve computational challenges in automation are likely to be in high demand globally.

Why study this degree at UCL?

UCL was ranked first in the UK for computer science and informatics in the recent Research Excellence Framework (REF).

With the external project involvement anticipated, students on this programme will have the opportunity to interact and collaborate with key companies in the industry - Airbus, Shadow Hand, OC Robotics and Intuitive Surgical - and work on real-world problems through industry-supported projects.

Recent investment across UCL in the Faculty of Engineering and The Bartlett Faculty of the Built Environment has created the infrastructure for an exciting robotics programme, which will be interdisciplinary and unique within the UK and Europe.

Read less

Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to drive IT robotics and automation education in the UK.

Degree information

The programme provides an overview of robotic and computational tools for robotics and autonomous systems as well as their main computational components: kinetic chains, sensing and awareness, control systems, mapping and navigation. Optional modules in machine learning, human-machine interfaces and computer vision help students grasp fields related to robotics more closely, while the project thesis allows students to focus on a specific research topic in depth.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), two optional modules (30 credits), two elective modules (30 credits), and a dissertation/report (60 credits).

Core modules
-Robotic Control Theory and Systems
-Robotic Sensing, Manipulation and Interaction
-Robotic Systems Engineering
-Robotic Vision and Navigation

Optional modules
-Acquisition and Processing of 3D Geometry
-Affective Computing and Human-Robot Interaction
-Artificial Intelligence and Neural Computing
-Image Processing
-Inverse Problems in Imaging
-Machine Vision
-Mathematical Methods, Algorithmics and Implementations
-Probabilistic and Unsupervised Learning
-Research Methods and Reading
-Supervised Learning
-Other selected modules available within UCL Computer Science
-Students also choose two elective MSc modules from across UCL Computer Science, UCL Medical Physics & Biomedical Engineering, UCL Mechanical Engineering and UCL Bartlett School of Architecture.

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 30,000 words.

Teaching and learning
Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars. Assessment is through examination, individual and group projects and presentations, and design exercises.

Careers

Robotics is a growing field encompassing many technologies with applications across different industrial sectors, and spanning manufacturing, security, mining, design, transport, exploration and healthcare. Graduates from our MSc programme will have diverse job opportunities in the international marketplace with their knowledge of robotics and the underpinning computational and analytical fundamentals that are highly valued in the established and emerging economies. Students will also be well placed to undertake PhD studies in robotics and computational research specific to robotics but translational across different analytical disciplines or applied fields that will be influenced by new robotic technologies and capabilities.

Employability
This programme prepares students to enter a robotics-related industry or any other occupation requiring engineering or analytical skills. Graduates with skills to develop new robotics solutions and solve computational challenges in automation are likely to be in demand globally.

Why study this degree at UCL?

UCL was ranked first in the UK for computer science and informatics in the recent Research Excellence Framework (REF).

With the external project involvement anticipated, students on this programme will have the opportunity to interact and collaborate with key companies in the industry - Airbus, Shadow Hand, OC Robotics and Intuitive Surgical - and work on real-world problems through industry-supported projects.

Recent investment across UCL in the Faculty of Engineering and The Bartlett Faculty of the Built Environment has created the infrastructure for an exciting robotics programme, which will be interdisciplinary and unique within the UK and Europe.

Read less

The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc without a placement or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term, you take taught modules.

Across the spring and summer terms, you’ll work on your Masters Individual Project, either at the University or at a company.

For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and 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 Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

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

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less

The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or without a placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

For your Masters placement, you work in an industrial setting for at least 12 weeks. We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and 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 Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

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

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less

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

Key features

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

Course details

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

Core modules
-PROJ510 MRes Project

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

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

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Automation, control and robotics are pervasive enabling technologies found in almost every modern technical system, particularly in manufacturing and production. They combine the diverse and rapidly expanding disciplines of automation, control, mechanics, software and signal processing.

This course is ideal if you wish to develop comprehensive knowledge and understanding of
-Classical and modern control theory.
-Industrial automation.
-Systems analysis.
-Design and simulation.
-Robotics.

You gain the ability to apply principles of modelling, classical and modern control concepts and controller design packages in various areas of industry. You also learn how to design and exploit automation and robotic systems in a range of manufacturing and industrial applications.

The course has six core modules which cover the major aspects of industrial automation and control systems engineering and robotics, ranging from classical linear control system design to non-linear, optimal and intelligent control systems, including distributed control systems, robotics, computer networks and artificial intelligence.

You also choose two optional modules relevant to automation and control to suit your interests. For example, if you wish to work in the manufacturing industry you can choose manufacturing systems or machine vision. There is the opportunity to study one or two management modules if you wish to apply yourself to a more managerial role.

To gain the masters you complete a major research-based project, which can be focused on an area of your particular interest or career need.

You work alongside staff from the Electrical, Electronic and Control Engineering Group and the Centre for Automation and Robotics Research (CARR) at Sheffield Hallam. This provides the opportunity to work with active researchers.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/msc-automation-control-and-robotics

Professional recognition

This course is seeking accreditation by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirements for registration as a Chartered Engineer. The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer; graduates who have a BEng (Hons) accredited for CEng will be able to show that they have satisfied the further learning requirement for CEng accreditation.

Course structure

Full time – 12 to 18 months.
Part time – 3 years.
Start dates September and January.

Core modules
-Industrial automation
-Control of linear systems
-Advanced control methods
-Robotics
-Computer networks
-Applicable artificial intelligence

Options
Choose two from:
-Software engineering
-Project and quality management
-Sustainability, energy and environmental management
-Machine vision
-Digital signals processing
-Manufacturing systems

MSc
-Project and dissertation

Assessment: coursework, examination, presentation, MSc project report.

Other admission requirements

International students
India: a first class BE in a relevant discipline, or a good second class BE with a strong performance in mechanical and manufacturing subjects.

China: a four year Bachelors degree in a relevant discipline, with an overall average of at least 80 per cent or equivalent.

Other countries: a good honours degree or equivalent in a relevant subject.

Overseas applicants from countries whose first language is not English must normally produce evidence of competence in English. An IELTS score of 6.0 with 5.5 in all skills (or equivalent) is the standard for non-native speakers of English. If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.

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If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you.

The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning.

PROGRAMME OVERVIEW

This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.

State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.

Students also have the chance to substantially expand their programming skills through projects they undertake.

PROGRAMME STRUCTURE

This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and a standard project.

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department of Electronic Engineering are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in Electronic Engineering, Physical Sciences, Mathematics, Computing and Communications, from the UK, Europe and overseas.
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

Intended capabilities for MSc graduates
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin computer vision, machine learning as well as how they can be related to robotics
-Be able to analyse problems within the field computer vision and more broadly in electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within computer vision, machine learning
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Technical characteristics of the pathway
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.

Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment. The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.

An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.

Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.

PROGRAMME LEARNING OUTCOMES

The Department's taught postgraduate programmes are designed to enhance the student's technical knowledge in the topics within the field that he/she has chosen to study, and to contribute to the Specific Learning Outcomes set down by the Institution of Engineering and Technology (IET) (which is the Professional Engineering body for electronic and electrical engineering) and to the General Learning Outcomes applicable to all university graduates.

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods

Time and resource management
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
-Relevant part of: Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

FACILITIES, EQUIPMENT AND SUPPORT

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).

CAREER PROSPECTS

Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
-Multimedia indexing and retrieval (Google, Microsoft, Apple)
-Motion capture (Foundry)
-Media production (BBC, Foundry)
-Medical Imaging (Siemens)
-Security and Defence (BAE, EADS, Qinetiq)
-Robotics (SSTL)

Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.

Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.

Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.

Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include:
-BAE Systems
-BT
-Philips
-Hewlett Packard
-Logica
-Lucent Technologies
-BBC
-Motorola
-NEC Technologies
-Nokia
-Nortel Networks
-Red Hat

INDUSTRIAL COLLABORATIONS

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
-Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
-A number of our academics offer MSc projects in collaboration with our industrial partners

RESEARCH PERSPECTIVES

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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

Key features

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

Course details

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

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

Optional modules
-BPIE502 Electrical/Robotics Masters Industrial Placement

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

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Join a hands-on, state-of-the-art course that focuses on the practical side of robotics ad the effects that robots have on society.

Intended as both an academic and industry facing course, the subject is aimed at graduates from a computing, engineering or science discipline who want to develop their understanding of the practical and theoretical aspects of robotic systems. This is an area with a wide-range of applications in industry and research.

This MSc focuses on the computational side of Robotics with an emphasis on the software engineering aspects. In addition it provides the ability to investigate the field of Artificial Intelligence applicable to this sector and a substantial portion of the programme concentrates on the effect that robots have on society. It is the intention of this programme to produce specialists with up to date knowledge and skills that are capable of being used in an industrial, commercial and research environment.

Although the necessary background is introduced as appropriate, the course deals with problem-solving and the provisioning of real time aspects of computer based solutions and applications using current and emerging technologies. In addition to developing an understanding of underlying principles, students are engaged in the practical application of design, implementation, trouble-shooting and management for real-world problems.

Key Course Features

The programme aims to provide the students with the following:
-Hands-on experience of state of the art equipment.
-Specialist, advanced technical skills in the area of Robotics.
-An advanced understanding and competence in the hardware and software used for the development and use of Robotics.
-The ability to critically appraise and disseminate research results.
-A sound basis for further research and / or professional development.

What Will You Study?

The MSc Robotics is offered in full-time and part-time mode. As with most masters programmes the MSc Robotics has 2 parts, a taught part followed by a dissertation. Students study 6 core modules worth 20 credits each followed by a 60 credit dissertation making a total of 180 credits.

MODULES
-Research Methods
-Future & Emerging Technology
-Advanced Artificial Intelligence
-Computational Robotics
-Robotic Applications in Society
-Robotic Software Engineering
-Dissertation

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Career Prospects

Modules studied on the programme have been designed to provide the skills to meet industrial and commercial needs as well as those of traditional academic standing. In addition to the academic and theoretical aspects the emphasis will be on the practical side of robotics to enable graduates to practise as a professional in industry or continue with further study towards a research degree.

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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VIBOT is a two-year International Masters of Excellence in Vision and Robotics sponsored by the European Union under the Erasmus Mundus framework. Built as collaboration between three leading universities in Europe (Heriot-Watt University in Scotland, the Universitat de Girona in Spain and the Université de Bourgogne in France), it is a truly international degree where students not only learn cutting edge science and engineering but are also exposed to different cultures. Over 50 countries have been represented on the Vibot programs since its inception in 2006.

This is a highly competitive programme aiming at attracting the best European and Overseas students to study robotics and computer vision. A number of very attractive grants (up to €42000) covering the University fees and a stipend for living and travel expenses are offered to the best students in the limit of the available grants (typically 16/year). On average, one in ten student applying is selected for a grant.

In recent years, the amount of digital image information to be stored, processed and distributed has grown dramatically. The generalisation of the use of digital images, in video surveillance, biomedical and e-health systems, and remote sensing, creates new, pressing challenges, and automated management tools are key to enable the organisation, mining and processing of these important knowledge resources. The key subject areas taught are computer vision, pattern recognition and robotics. Research in these areas is very dynamic and relevant to a wide range of sectors, such as the autonomotive industry, autonomous systems, medical imaging and e-health. The course is over two years, students spend the first semester in France, the second in Spain and the third in Scotland. The fourth semester is reserved for Masters thesis.

Career Prospects:
All of our graduates find work in industry or research very quickly and are sought after by research laboratories and leading blue chip companies alike. More and more of our graduates choose an industrial career.

Started in 2006, the VIBOT program has become the leading computer vision and robotics program in Europe. A majority of the VIBOT students have graduated with distinction and around 50% of them continue on to PhD studies.

Links with industry:
Strong links with industry have been established and companies now routinely welcome our students for their final year project. Recently, a 2007-2009 VIBOT student won the BAe Systems Chairman Bronze award for his contribution to autonomous navigation of terrestrial robots, demonstrating that our student are well prepared not only for high academic achievement but also for industry.

Our industrial partners have commented on our program:

“We have hosted VIBOT MSc project for the past 3 years and found them to be of a high calibre - in fact - we hired one of them. Their training seems to equip them well for in medical image analysis research, and what they don't know they quickly learn. The course works them hard - requiring a dissertation, short paper, poster and presentation of their work. This serves us well since it ensures they leave behind a good documentary record in addition to the software output. We look forward to working with VIBOT students in the future.

Ian Poole, PhD.
Scientific Fellow - Image Analysis
Toshiba Medical Visualization Systems Europe, Ltd Bonnington Bond”

“BAE Systems has found the ViBOT students to be of a high calibre and full of enthusiasm. They have all managed to fit into our teams quickly and have made valuable technical contributions. We have hired one student following his placement. We find that, through the students, we can sometimes attempt innovative tasks and try new approaches that are off the critical path of our projects. This can help give us early initial experience of emerging methods or potential applications. The ViBOT students are usually from overseas which has the bonus of adding to the diversity of our student placements, who are typically coming from the UK.

Richard Brimble
Principal Scientist,
BAE SYSTEMS, Advanced Technology Centre,

Facilities:
Our world-class robotics facilities include state of the art robots and 3D scanners. We have several turtlebots (http://www.turtlebot.eu) for land robotics, equipped with state of the art sensing such as the kinect, several human robots (Nao) as well as a wide range of dedicated robots for air and subsea robotics.

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The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. This MSc can lead to a career such as a designer of intelligent systems or in research. The core modules are: artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Artificial Intelligence and Robotics
-Advanced topics studied include artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence
-Taught by a highly-regarded and long-established computer science department
-Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

This particular course will prepare you to take up a challenging job or to pursue further research in specific AI fields. Typical career opportunities include researcher or designer for intelligent systems.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for master's students.

In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

All our one year full time Computer Science Masters programmes are available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

They offer you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Professional Issues
-Investigative Methods for Computer Science
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Programming Paradigms
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Artificial Intelligence with Robotics Masters Project

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