- UCAS course code
- H402
- UCAS institution code
- M20
Master of Engineering (MEng)
MEng Aerospace Engineering
- Typical A-level offer: A*AA including specific subjects
- Typical contextual A-level offer: AAA including specific subjects
- Refugee/care-experienced offer: AAB including specific subjects
- Typical International Baccalaureate offer: 37 points overall with 7,6,6 at HL, including specific requirements
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:
Experimental Methods
Unit code | AERO42021 |
---|---|
Credit rating | 15 |
Unit level | Level 4 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This unit covers the science of experimentation from planning through to data delivery and introduces data reduction techniques. A variety of experimental labs are traditionally included in engineering degrees but the process of designing, running, analysing and reporting is rarely covered in detail. This unit will prepare potential research engineers for data gathering activities and tests in both industry and academia. It includes relevant examples of direct application to industrial and scientific challenges such as wind tunnel testing and structural health monitoring. The unit incorporates a set of core topics relevant to all experimental engineers and program specific content with more detailed information on challenges, techniques and applications to individual specialisms. In addition to specialism specific content, the laboratories within the unit are specialism specific with a focus on relevant experimental challenges within each industry.
Aims
• Develop the skills (both practical and theoretical) required to become an experimental engineer
• Design and perform experiments and analyse the results
• Use different forms of data capture and analysis
• Explain and demonstrate methods and techniques of analysis relevant to experimental data regardless of source
• Understand and apply experimental methods and techniques applicable to their specific program
• Develop technical group working skills through their contribution to a group project
• Have experience of every stage of the experimental process and have acquired skills of use in any practical engineering discipline together with some analysis techniques relevant to numerical work.
• Develop specific experimentation skills developed will be extremely valuable to those wishing to pursue a career in research.
Assessment methods
Method | Weight |
---|---|
Other | 50% |
Report | 50% |
Feedback methods
Quiz - Subsequent week with common mistakes covered in class with detailed explanation. Solutions are available online the following day for both quizzes
Report - Formative feedback drop-in sessions throughout semester. Group and cohort wide feedback given after submission
Study hours
Scheduled activity hours | |
---|---|
eAssessment | 26 |
Lectures | 22 |
Practical classes & workshops | 14 |
Project supervision | 50 |
Tutorials | 8 |
Independent study hours | |
---|---|
Independent study | 30 |
Teaching staff
Staff member | Role |
---|---|
Mark Quinn | Unit coordinator |