- UCAS course code
- J500
- UCAS institution code
- M20
Bachelor of Science (BSc)
BSc Materials Science and Engineering
Material scientists tackle some of the planet's greatest challenges and help shape the future of our world.
- Typical A-level offer: AAB including specific subjects
- Typical contextual A-level offer: ABB including specific subjects
- Refugee/care-experienced offer: BBB including specific subjects
- Typical International Baccalaureate offer: 35 points overall with 6,6,5 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 £38,000 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 visit our undergraduate student finance pages and our the Department funding pages.
Course unit details:
Modelling and Data Tools for Materials Scientists
Unit code | MATS31101 |
---|---|
Credit rating | 10 |
Unit level | Level 6 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This unit introduces key techniques for the manipulation and processing of data from experiments and simulations and a range of approaches to simulating the properties and behaviour of materials. It presents the theory underlying these techniques, explains when and how they can be used and provides an opportunity for hands-on experience in using them. The unit will be delivered via computer laboratory workshops using the software Python.
Aims
This unit aims to:
- Introduce a range of data processing and analysis tools relevant to materials scientists and develop an understanding of how they work and a practical ability to use them through hands-on exercises
- Explain the concept of materials simulation, the different techniques available, the theory underlying those techniques and the types of problems they can be used to solve
- Provide hands-on experience of using modelling techniques to explore the behaviour of materials
Learning outcomes
A greater depth of the learning outcomes will be covered in the following sections:
- Knowledge and understanding
- Intellectual skills
- Practical skills
- Transferable skills and personal qualities
Teaching and learning methods
This unit will be primarily delivered via enquiry-based learning in a computer laboratory. Hands-on learning will be reinforced by assessed computational course work. Supplementary lectures will be given to explain important theoretical concepts prior to the computer workshops. Recommended textbooks, web resources and electronic supporting information (on Blackboard) will also be provided.
Intellectual skills
Upon completing this unit, you should be able to:
a) Fit datasets with appropriate mathematical functions and quantitatively assess the quality of the fits.
b) Characterise data using statistics and construct robust statements to communicate statistical findings
c) Use simulation techniques to predict the response of materials under given physical conditions
d) Draw clear conclusions from the outcome of simulations, appropriate to the degree of approximation inherent in the model and the simulation design
Transferable skills and personal qualities
Upon completing this unit, you should be able to:
a) Translate real-world, physical problems into a form that can be solved with a computer
Assessment methods
Method | Weight |
---|---|
Written assignment (inc essay) | 100% |
Feedback methods
Written and verbal
Recommended reading
There is no compulsory reading material for the course. You may find the following textbook useful:
Scopatz and Huff, 2015. Effective Computation in Physics. O’Reilly Media.
Study hours
Scheduled activity hours | |
---|---|
Lectures | 20 |
Independent study hours | |
---|---|
Independent study | 80 |
Teaching staff
Staff member | Role |
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Thomas Flint | Unit coordinator |