Module manager: Dr Briony Yorke
Email: B.A.Yorke@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2026/27
CHEM5910M CHEM5014M
This module is not approved as an Elective
Within your MSc programme you will be performing a major research project. This module allows you to consolidate your core digital and/or experimental skills, as appropriate, ready for the next stages of your studies. Students will select activities from a choice of digital and experimentally themed areas appropriate to their background and programme.
On completion of this Students on the MSc in Digital and automated Chemistry will use this module to consolidate and enhance their understanding of Python programming. Students on the Chemistry MSc programme will consolidate and enhance either their experimental or programming skills as appropriate to their previous experience and proposed research directions.
Subject specific learning outcomes:
Students will be able to consolidate and improve their digital and/or experimental skills so that they can demonstrate their preparedness for the project work within their chosen area.
Students on the Digital Chemistry programme, or those whose projects are planned to be computationally based, will be able to show that they can operate as an independent user of Python performing core data analysis tasks such as reading, processing and visualising data.
Students planning on performing experimental project work will demonstrate that they can work safely in the laboratory and perform common laboratory tasks involving chemical synthesis, purification and analysis.
All students, regardless of pathway. will build on their existing skills profile enhancing their digital or experimental skills as appropriate to their previous background.
Skills learning outcomes:
a. Use computational or experimental methods as appropriate to explore scientific problems.
b. Explain the results of digital or experimental analyses in a scientifically rigorous way.
c. Reflect on and articulate their skills profile and identify areas of strengths and areas for future development.
Students will select activities from three 5-credit baskets of activity. Each basket can contain either digital or experimental content.
Students on the Digital Chemistry programme MUST take at least 2 baskets of digital content and reach independent user level by the end of this module.
Other students may select baskets as appropriate to their previous background and future plans in order to enhance their skills in readiness for the rest of their studies.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Laboratory | 6 | 14 | 84 |
| Computer Class | 11 | 2 | 22 |
| Lecture | 1 | 1 | 1 |
| Seminar | 2 | 2 | 4 |
| Independent online learning hours | 27 | ||
| Private study hours | 12 | ||
| Total Contact hours | 111 | ||
| Total hours (100hr per 10 credits) | 150 | ||
The workshops or lab sessions will involve guided solutions to the tasks with a member of staff enabling feedback on the approach being taken and any technical issues.
The online learning has self-help exercises to enable the students to monitor their own progress.
Check the module area in Minerva for your reading list
Last updated: 29/05/2026
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