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.
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 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).
See our webpage for details.
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:
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.
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.
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.
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.
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:
This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.
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.
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.
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.
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.
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.
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.
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 *
-Non-medical Independent Nurse Prescribing
-Practice Education *
*Specialist pathway available as stand-alone Postgraduate Certificates
-Valuing Professional Experience
-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
-Living with Cancer and Beyond Cancer
-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
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.
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).
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).
The following postgraduate funding may be available to study the Advanced Professional Practice MSc at The University of Northampton.
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 Part Time: £1,320 per 20 credit module