Data Analysis Techniques (890F3)
15 credits, Level 7 (Masters)
This module introduces you to the mathematical and statistical techniques used to analyse data.
The module is fairly rigorous, and is aimed at students who have, or anticipate having, research data to analyse in a thorough and unbiased way.
- Random variables
- Error propagation
- Estimation and fitting
- Bayesian probabilitry
- Monte Carlo techniques.
33%: Practical (Workshop)
60%: Coursework (Problem set)
40%: Examination (Computer-based examination)
Contact hours and workload
This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.