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Satellite Data Analysis in Python
https://le.ac.uk/modules/2025/gy7709
Module code: GY7709 This module focuses on the Python programme language applied to the analysis of satellite data, particularly from the Copernicus Sentinel missions.
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Managing Data, Analysis and Application
https://le.ac.uk/modules/2025/mk7711
Module code: MK7711 Are you ready to navigate the world of big data and business analytics? This module is designed to empower you with crucial data-driven decision-making skills.
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Intermediate Astrophysics and Data Science
https://le.ac.uk/modules/2025/pa2601
pa2601
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SciArt and Big Data Analysis
https://le.ac.uk/modules/2026/co2109
Module code: CO2109 This interdisciplinary module explores the intersection of science, art, and data, equipping you with the necessary skills to analyse, visualise, and communicate complex information creatively.
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Big Data and Predictive Analytics
https://le.ac.uk/modules/2026/co3093
Module code: CO3093 “Data is the new oil” has become a refrain since a 2017 article from the Economist. This module is aimed at teaching tools and methods to interrogate data in order to carry out predictive analytics and to evaluate the resulting models.
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R for Data Science
https://le.ac.uk/modules/2026/gy4472
Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.
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Satellite Data Analysis in Python
https://le.ac.uk/modules/2026/gy7709
Module code: GY7709 This module focuses on the Python programme language applied to the analysis of satellite data, particularly from the Copernicus Sentinel missions.
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Intermediate Astrophysics and Data Science
https://le.ac.uk/modules/2026/pa2601
pa2601
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Health Data Science Project
https://le.ac.uk/modules/2026/md7477
Module code: MD7477 The 12-week project gives you the opportunity to carry out an extended and in-depth piece of work on a real problem in health data science.
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Foundations of Health Data Science
https://le.ac.uk/modules/2026/md7475
Module code: MD7475 This module will provide an outline of the workflow of a typical data science project, from the formation of questions to the communication of results.