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Autonomous Vehicle Dynamics and Control, MSc, PG Cert, PG Dip, Cranfield University

the United Kingdom

Cranfield University

Study options for this course

The award How you will study Study duration Course start Domestic course fees International course fees
MSc, PG Cert, PG DipFull-timefind outOctoberGBP 13305 totalGBP 29670 total

About Autonomous Vehicle Dynamics and Control, MSc, PG Cert, PG Dip - at Cranfield University

The global market for aerial, ground, and marine autonomous vehicles has grown rapidly due to the advent of drones and driverless cars. Defence, aerospace, automotive and marine industries seek graduates conversant in key aspects of autonomy including: dynamics and control, guidance and navigation, decision making, sensor fusion, data and information fusion, communication and networking.

Durable and transferrable skills are the foundation of this unique MSc course whose content has been based on advice from the Industrial Advisory Board, comprising industrial representatives from big primes to small- and medium-sized enterprises.

The MSc in Autonomous Vehicle Dynamics and Control is accredited by the Royal Aeronautical Society (RAeS) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer.

Who is it for?

This course provides engineering, physics or mathematics graduates with the advanced skills which can be applied to the security, defence, marine, environmental and aerospace industries.

Why this course?

This course is unique in that it offers a combination of subjects much sought after in the autonomous vehicle industry and not covered in a single MSc course anywhere else. Successful graduates of our MSc course become conversant in key aspects of autonomy which places them at an advantage in today's competitive employment market.

The Autonomous Vehicle Dynamics and Control MSc includes eight taught compulsory modules, which are generally delivered from October to March. The course begins with the fundamentals of autonomous vehicle dynamics and control, and progresses to the core subjects of guidance and navigation, sensor fusion, advanced control, decision making, AI for autonomous systems.

The taught part of the course is followed by individual research projects (IRPs) and the topic of each of the IRPs is provided by one of the member of the Industrial Advisory Board. The real-world relevance of the IRP topics is another unique feature of the MSc course and can be another effective differentiator in the job market.

A key feature of the MSc is the inclusion of a CAA approved UAV remote pilot competence course. The course incorporates a ground school element for flight planning – covering principles of flight, rules and regulations of the air, using aviation charts, risk assessment and meteorology – and flight training to provide basic pilot competence, including how to respond in an emergency and being able to operate safety features. Successful completion of the course allows students to fly small UAV’s in the Open Category.

Accreditation

The Autonomous Vehicle Dynamics and Control MSc is accredited by the Royal Aeronautical Society (RAeS) on behalf of the Engineering Council as meeting the requirements for further learning for registration as a Chartered Engineer (CEng). Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to show that they have satisfied the educational base for CEng registration.

Notes about fees for this course

Please see the university website for further information on fees for this course and the different funding opportunities available.

Entry requirements

A first or second class UK honours degree in engineering, or an equivalent degree in engineering, engineering science, physics, applied mathematics or other appropriate applied science.

Applicants who do not fulfil the standard entry requirements can apply for the Pre-master's course, successful completion of which will qualify them for entry to this course for a second year of study

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Related Information

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