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Masters Degrees (Autonomous)

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Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a wide range of careers in industry. Read more

Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a wide range of careers in industry.

Intelligent and autonomous systems are increasingly important in all areas of human life and activity from medicine and space exploration to agriculture and entertainment.

Understanding and developing autonomous systems involves a range of skills and knowledge including designing interactive systems with both human and machine elements, and modelling and building systems that can sense and learn.

Machine learning is at the heart of autonomous and intelligent systems, including computer vision and robotics. It also underpins the recent developments in data analytics across many fields.

You will learn to use new knowledge to solve complex machine learning and autonomous systems problems. You’ll develop a range of skills including the theory of machine learning, artificial intelligence, autonomous systems design and engineering, and the implications for humans of interacting more and more with intelligent and autonomous systems.

You will be taught by academics from the Department of Computer Science with expertise in machine learning, autonomous systems, artificial intelligence and human-computer interaction. This course has been designed in collaboration with the Department of Electronic and Electrical Engineering who offer expertise in robotics.

You will study in a research-led department with a supportive postgraduate community. You’ll learn in our bespoke computer laboratory and be exposed to the latest ideas and technology. The department has strong links to industry both nationally and internationally.

With machine learning and autonomous systems forming an essential part of a number of key industries, our MSc graduates will be highly sought after by employers.

You’ll gain the knowledge and transferable skills for a career in a wide range of industries, or for further study at PhD level. Graduates from the department have gone on to work in a wide variety of sectors, including IT consultancy, software development, banking and education.

Visit the website.



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Learn the essential skills and techniques needed to develop autonomous systems, embedded artificial intelligence and robotics. This course is new for 2018. Read more

Learn the essential skills and techniques needed to develop autonomous systems, embedded artificial intelligence and robotics.

This course is new for 2018

Our course will help you take your career forward in an innovative and developing area of engineering. It balances advanced theory with technical skills so that you can learn to develop complete operational systems. Our course is suited to you if you have a background in electronic and electrical engineering, computer science or a related discipline.

During the course, you will gain a comprehensive understanding of how to research, design and develop systems. You’ll explore robotics engineering and software, autonomous systems technologies, processes and products throughout the industry value chain. Other areas you will cover include computational intelligence, machine learning and sensors.

Your studies will focus on tackling engineering challenges using whole-systems approaches. We’ll give you the tools to analyse and evaluate the impact of the resources, processes and products you choose in developing systems. You’ll consider stakeholder needs and factors such as technical, economic, environmental and social.

You’ll learn from academics in our Departments of Computer Science, Electronic & Electrical Engineering, and Mechanical Engineering. Their international collaborations and research expertise feed into your learning experience.

You will work on individual and group projects using the same systems platforms as those used in industry. Our focus on practical learning makes sure you have the skills to design and build robotic platforms and autonomous systems.

You’ll develop:

  • The fundamentals in robotics, electronics and autonomous systems, from established principles to new techniques
  • An understanding of design processes and methodologies and how to apply them
  • Awareness of current challenges and the latest thinking in electronic systems design
  • The ability to test a range of concepts and apply them to engineering projects

You’ll graduate with the skills to innovate and deliver resource-efficient practices and solutions for robotic and autonomous systems. Your knowledge will prepare you for a career in the engineering sector or for further postgraduate study and research.

We also offer this course without a placement (3 semesters).

Course structure

See our webpage for details.



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Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets. Read more

Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.

The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.

The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.

Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.

It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.

Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.

Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:

Training and support

Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)

At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.

Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.

In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

Career opportunities

Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.

We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.



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This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents. Read more
This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines.

In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.

Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

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Designed for. SCAV is designed for engineering or STEM subject graduates. Read more

Designed for

SCAV is designed for engineering or STEM subject graduates. It is particularly suitable for those with a background in electronics, electrical engineering, control systems, or communications who want to play a role in the development of connected and autonomous vehicles, and the Intelligent Transportation Systems Network.

With the advent of smart, connected and autonomous vehicles on the horizon of technical advancements, the automotive industry is facing a developmental challenge. How do we develop a robust technical infrastructure to support the anticipated explosive growth in smart vehicular functions, communications systems and driverless cars? This demands a comprehensive understanding of the technology and a bottom-up approach ensuring robustness and dependability of Electronics, Communications (e.g. V-2-V, V-2-I) and Control Systems.

The strategic success of any industrial player in this area would depend on a ready availability of a skilled work-force within high level technical competencies, specifically catered for the automotive environment.

What will the course provide?

Through this MSc we aim to address the knowledge-gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.

WMG at the University of Warwick has an established legacy of leading automotive research in collaboration with industry. Our unique experimental facilities enable academics and industry practitioners to work together and include:

  • 3xD (Drive-in Driver-in-the-loop Driving) simulator facility
  • Fully-functional complete vehicle electrical/electronic system (labcar)
  • Hardware-in-the-Loop (HIL) facilities
  • National Automotive Innovation Centre (NAIC)

This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.

Course modules

  • Sensor and Sensor Fusion
  • Networks and Communications for the Connected Car
  • Human-Technology Interaction
  • Machine Intelligence and Data Science
  • Robust Automotive Embedded Systems 

Elective modules

You will need to choose four elective modules from the module list*, which should be chosen to supplement your core modules above (subject to availability). *Important, please note: the list relates to modules available in 2017/18 academic year, and should be regarded as an illustrative guide to modules available in future years.

You are required to pass nine modules in total as part of this Master's course.

Project

Leveraging the close partnerships that WMG has with key organisations within the automotive sector, it is envisaged that your project will have an industrial sponsor, enabling you to work in close collaboration with an industry partner. This valuable experience will further your transferrable skills development, and expand your networking opportunities and understanding in a professional research and development environment.

The project is worth 50% of the final grade, and supports you in developing research and analytical skills.

Work on your project runs concurrently with your module study.

Learning style

The taught component of the course consists of lectures, workshops, practicals, demonstrations, syndicate exercises, extended surgery time and reviews. Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.

Assessment is through post module assignment (PMA) rather than exam and is based on the learning objectives of each module. Your PMA should take around 60 hours of work and consolidate the knowledge you have gained from the module.

Each module usually lasts one week. There is more information here about the course structure.

After you graduate

Graduates of this MSc will understand a myriad of factors contributing towards the performance and dependability of connected and autonomous vehicles and will be well placed to continue professional work within R&D.



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In light of this expanding industry, this unique MSc in Autonomous Vehicle Dynamics and Control will equip graduates and engineering professionals with the fundamental knowledge and enabling skills required to develop a successful career. Read more
In light of this expanding industry, this unique MSc in Autonomous Vehicle Dynamics and Control will equip graduates and engineering professionals with the fundamental knowledge and enabling skills required to develop a successful career. Cranfield University is unique in that it offers an MSc which covers a wide application within the autonomous vehicle industry. Achieving this highly sort after qualification with its strong industry links will enable you to differentiate yourself in todays competitive employment market.

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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. Read more
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 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.

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

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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. Read more
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. Read more
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

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Our Robotics degree offers a cross-disciplinary course on a subject that could revolutionise society in the next 20 years. It’s aimed at graduates with a good first degree in areas like Electrical and Electronic Engineering, Computer Science and Mechanical Engineering. Read more

Our Robotics degree offers a cross-disciplinary course on a subject that could revolutionise society in the next 20 years. It’s aimed at graduates with a good first degree in areas like Electrical and Electronic Engineering, Computer Science and Mechanical Engineering. The course is designed to help you develop your skills in specific aspects of robotic systems.

This robotics course is both theoretical and practical, aiming to give you the knowledge and skills you’ll need for international employment in this expanding and economically relevant area.You can also go onto further study at the EPSRC Robotics and Autonomous Systems Centre for Doctoral Training.



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

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

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

Programme structure

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

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

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

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

Further information is available from the Faculty of Engineering.

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

Careers

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

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Aerospace systems are the future of the aerospace industry and constitute the major component of all modern aircraft. They are the essential onboard systems that ensure the safe and accurate operation of all aerospace vehicles, from civil passenger planes to sophisticated unmanned aerial vehicles. Read more
Aerospace systems are the future of the aerospace industry and constitute the major component of all modern aircraft. They are the essential onboard systems that ensure the safe and accurate operation of all aerospace vehicles, from civil passenger planes to sophisticated unmanned aerial vehicles.

Why this programme

◾The University of Glasgow has been the home of Aerospace Research for over 60 years. This long-standing activity has culminated in the Division of Aerospace Sciences having internationally recognised expertise in all areas of Aeronautics and Aerospace Systems.
◾The University of Glasgow is one of the few institutions in the UK, and the only University in Scotland, to offer an Aerospace Systems MSc.
◾Aeronautical engineering at the University of Glasgow is consistently highly ranked recently achieving 10th in the UK and 1st in Scotland (Complete University Guide 2017).
◾If you are an aeronautical engineering or avionics graduate wanting to improve your skills and knowledge; a graduate of another engineering discipline, mathematics or physics and you want to change field; looking for a well-rounded postgraduate qualification in electronics & electrical engineering to enhance your career prospects; this programme is designed for you.
◾Students in this programme can benefit from access to our outstanding facilities: including several wind tunnels, a flight simulation lab, an autonomous unmanned vehicle (UAV) laboratory, helicopter test rig laboratories and computer labs for modelling and simulation.

Programme structure

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

The summer period is dedicated to project work, with either academic or industrial placements providing the context for your project.

Semester 1 core courses
◾Aircraft flight dynamics
◾Control M
◾Navigation systems
◾Simulation of aerospace systems
◾Space flight dynamics 1.

Semester 2 core courses
◾Autonomous vehicle guidance systems
◾Fault detection, isolation and reconfiguration
◾Radar and electro-optic systems
◾Robust control 5.
◾Aerospace systems team design project.

Projects

◾To complete the MSc degree you must undertake a project worth 60 credits.
◾The project will integrate subject knowledge and skills that you acquire during the MSc programme
◾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 Aerospace Systems. 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

Accreditation

MSc Aerospace Systems is accredited by the Royal Aeronautical Society (RAeS)

Industry links and employability

◾You will be introduced to this exciting multi-disciplinary area of technology, gaining expertise in autonomous guidance and navigation, advanced aerospace control, simulation and simulators, fault detection and isolation, electro-optic and radar systems, and space systems.
◾The School of Engineering has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, advising on projects, curriculum development, and panel discussion.
◾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 aerospace industry.

Career prospects

Career opportunities include aerospace, defence, laser targeting systems, radar development, electro-optics, autonomous systems and systems modelling.

Graduates of this programme have gone on to positions such as:
Software Engineer at Hewlett-Packard
Avionic and Mission System Engineer at Qinetiq
Engineering Corporal & Driver at Hellenic Army.

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What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems. Read more
What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems.

The core topics in The Master's programme Artificial Intelligence are: autonomous perceptive systems, cognitive robotics and multi-agent systems.

- Autonomous Systems
A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of their surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behavior, which is integrated into general cognition.

- Cognitive Robotics
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineeringinstitute.

- Multi-agent Systems
When a team of robots play footbal they have to communicate and cooperate with each other. This is an example of a multi-agent system. When designing these systems, techniques from computing science and logic are combined with knowledge about the interaction amongst humans and animals.

Why in Groningen?

- Be part of a Programme with excellent reviews
- Challenging graduation projects

Job perspectives

Once you have obtained your Master's degree in Artificial Intelligence, you can apply your skills in research & development, for instance air traffic and space labs, where you make sure that intelligent and innovative technologies are used during the design process. You could also choose to get a job at a research institute where you work as a researcher. This can be done at a university (PhD) or at a research institute like TNO. About 50% of our students chooses a career as a scientist.

Where do graduated master AI students work at the moment? Maarten van Grachten and Mathijs Homminga did the AI master in the old doctoral program and they specialized in very different directions. Mathijs works as a software engineer at the IT-company Evermind. He programs and implements innovative IT-projects for shops. Maarten is doing a PhD in Barcelona where he investigates how a computer can compose jazz music.

Job examples

- Industrial Research & Development
- PhD research position
- Software engineer

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The University of Northampton Advanced Professional Practice Masters is an MSc course, offering full-time and part-time options. Students studying for the full Master of Science degree complete 180 credits, choosing from a selection of modules and a 60 credit professional project. Read more

The University of Northampton Advanced Professional Practice Masters is an MSc course, offering full-time and part-time options.

Students studying for the full Master of Science degree complete 180 credits, choosing from a selection of modules and a 60 credit professional project. Shorter Postgraduate Diploma and Postgraduate Certificate options are also available.

Drawing on contemporary teaching and innovative research, the programme will enable students to develop their professional practice in a highly personalised way. This innovative and flexible course allows you to build a course that is tailored to your needs.

The programme is made up of modules which make up the whole Master’s Degree, but there is an option to opt to leave at that point having earned a Postgraduate Diploma.

The programme is based around three key areas:

-Recognising and valuing personal professional experience as contributing to academic achievements.

-Addressing the priority needs of the working environment through a contemporary range of practice modules.

-Focusing the application of learning within the workplace.

Course content

The MSc Advanced Professional Practice presents a highly flexible programme of study which students can tailor to meet their personal and professional development objectives.

An innovative development for this award is the introduction of a Valuing Professional Experience module. Available to study for 20, 40 or 60 academic credits, this module will allow students to demonstrate the value of their professional experience in relation to academic learning. As such, students can, with the help of a programme advisor, create an individual programme of study which draws on past experience and enhances current and future practice.

Advanced Professional Practice consists of a number of pathways:

-Advanced Occupational Therapy *

-Advanced Podiatry *

-Autonomous Healthcare Practice *

-Cancer Therapies *

-Care of the Older Person *

-Childcare Practice *

-Mentorship

-Non-medical Independent Nurse Prescribing

-Practice Education *

*Specialist pathway available as stand-alone Postgraduate Certificates

Course modules (16/17)

-Professional Project

-Valuing Professional Experience

-NISP (V300)

-Mentorship Programme

-Research Methods – Philosophy and Study Design

-Injection Therapy of the Lower Limb for Podiatrists

-The Lower Limb at Risk

-Advanced Skills For Occupational Therapists, Physiotherapists And Podiatrists

-Implementing Innovative Change in Practice

-Occupational Therapy and Occupation

-Rehabilitation and Recovery

-The Stroke Journey

-Advanced Patient Assessment and Diagnostic Skills

-Clinical Interventions for Advanced Practitioners

-Leading People in Health and Social Care Organisations

-Facilitation, Assessment and QA in WBL

-Quality Enhancement in Interprofessional WBL

-Medical Law

-Living with Cancer and Beyond Cancer

-Haemato-oncology

-Chemotherapy

-Physical Healthcare of Older Adults

-Working with Older Adults: Mental Wellbeing

-Advanced Dementia Care

-Enabling Others in Mentoring, Practice Teaching and Assessment

-Assessing and Managing Risk in Child Protection

-Working with Complex Parenting Behaviour

-Planning and Supporting Permanence

-Therapeutic Communication Intervention

-Preparation for NMC Stage 4 Teacher Standard

Assessments

Assessment across all modules draws on relevant practice examples and students are encouraged to use case examples as the basis of their learning.

The specific methods reflect the ways in which practitioners are expected to function in their professional roles and may include: preparation of patient information resources, critical incident reports, care planning, action learning sets and preparation of professional reports for family courts.

Facilities and Special Features

This masters programme is as unique as you are. It is built around your need to progress through your career.

-Pathways designed to enable you to improve your professional skills which will benefit you and your employer.

-A programme that is tailored to you, enabling you to take a number of Postgraduate certificates, which together build to a masters qualification.

-The ability to step off the course with a postgraduate qualification at the end of each module.

-The Valuing Professional Experience module, allowing you to demonstrate the value of your professional experience which can provide up to 60 points toward your overall masters.

-IT and information services based on the campus as well as offsite access to NILE (Northampton Integrated Learning Environment).

Careers

Opportunities vary according to combination of study:

-Practice teaching roles (practice education and autonomous healthcare practice modules).

-Specialist practitioner roles with older clients (autonomous healthcare practice and care of the older person).

-Or advanced practitioner (advanced therapy training with nonmedical and independent prescribing and/or reflection on previous professional achievements).

Funding

The following postgraduate funding may be available to study the Advanced Professional Practice MSc at The University of Northampton.

UK postgraduate loans:

Erasmus funding:

Funding from FindAMasters:

Fees

Fees quoted relate to study in the Academic Year 17/18 only and may be subject to inflationary increases in future years.

Full Time: £6,500

Part Time: £720 per 20 credit module for home and EU students

International: £11,900

International Part Time:  £1,320 per 20 credit module



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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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