PHY-40039 - Module Specification
School of Chemical and Physical Sciences
Faculty of Natural Sciences

Programme/Approved Electives for 2026/27

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2026/27

The ability to analyse large and multi-faceted datasets is key to modern astrophysical research as well as many areas of scientific research and data science. In this module students will learn and develop the skills needed to process and analyse larger volumes of astrophysical data in a variety of formats through hands-on computational laboratory sessions. The work will be authentically assessed through activities that illustrate the material and methods taught.
This will support the wider work in this programme, specifically the research project where many of the skills will be utilised. It will also prepare students for future research in astrophysics or other data science related careers.

This module aims to provide students the tools and skills needed to critically evaluate astrophysical data, including observational techniques, numerical methods, data analysis, big data, python programming and statistics.

Intended Learning Outcomes

Summarise and critique the statistical properties of different types of astrophysical data and infer relevant conclusions.: 1,2
Execute relevant astrophysical software and programming languages to interpret and analyse astrophysical data.: 1,2
Implement the processing, filtering and mathematical analysis of large volumes of complex, multi-dimensional data.: 1,2

Study hours

30 hours computational laboratory sessions
80 hours independent learning
40 hours preparation of assessment

School Rules

None

Description of Module Assessment