Master of Engineering (MEng)

MEng Aerospace Engineering

Launch your career with this sought-after MEng, here at one of the Most Targeted Universities by Top Graduate Employers (THE Graduate Market, 2024).
  • Duration: 4 years
  • Year of entry: 2025
  • UCAS course code: H402 / Institution code: M20
  • Key features:
  • Study abroad
  • Scholarships available
  • Field trips

Full entry requirementsHow to apply

Fees and funding

Fees

Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £34,000 per annum. For general information please see the undergraduate finance pages.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

The University of Manchester is committed to attracting and supporting the very best students. We have a focus on nurturing talent and ability and we want to make sure that you have the opportunity to study here, regardless of your financial circumstances.

For information about scholarships and bursaries please see our undergraduate fees pages and check the Department's funding pages .

Course unit details:
Autonomous Mobile Robots

Course unit fact file
Unit code AERO40492
Credit rating 15
Unit level Level 4
Teaching period(s) Semester 2
Available as a free choice unit? No

Overview

Autonomous Mobile Robots will become key in a range of sectors such as agriculture, critical asset inspections, and social care. Students will learn how to develop both kinematic and dynamic models for such robots and how to develop real-time feedback control systems. They will select and implement appropriate navigation strategies so that the robots can undertake autonomous missions. The assessed coursework submissions are based on developing and implementing robotics focused algorithms using the Python programming language.

Aims

Introduce students to the field of autonomous mobile robots, how they can be modelled, controlled, and used in a range of applications.

 

Assessment methods

Method Weight
Written exam 50%
Report 50%

Teaching staff

Staff member Role
Kieran Wood Unit coordinator

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