University of Leicester

What you'll study

This programme teaches core data science skills alongside specialist modules in satellite and Earth observation data. You will study mathematical and computational foundations such as statistical inference, machine learning, time-series analysis and data engineering, and learn to apply these techniques to optical, multispectral, radar (SAR) and lidar datasets.

• Core data science modules — programming for data science (Python/R), machine learning, probabilistic modelling, databases and cloud-based data workflows.
• Satellite and remote sensing modules — principles of remote sensing, image processing and correction, SAR processing, change detection and time-series analysis for Earth observation.
• Geospatial analytics — GIS integration, spatial statistics, feature extraction, object-based image analysis and integration of in situ and satellite observations.
• Applied projects and practical work — hands-on labs using open-source toolchains, access to Copernicus, Landsat, Sentinel and commercial datasets, plus experience with platforms such as Google Earth Engine and cloud compute resources.
• Research dissertation — an independent research project or industry-linked placement developing an end-to-end pipeline from data acquisition and preprocessing to model development, validation and interpretation.

Teaching combines lectures, practical lab sessions, group coursework and a substantial research project. Assessment methods include practical coding assignments, coursework reports, presentations and the dissertation.

Entry requirements

Applicants are normally expected to hold a good UK honours degree (or equivalent) in a numerate subject such as computer science, mathematics, statistics, physics, engineering, geography or a related discipline. Candidates with relevant professional experience, programming ability and strong quantitative skills may also be considered.

Prior experience with programming (for example Python), basic statistics and familiarity with geospatial concepts will help you succeed on the programme. International applicants should demonstrate proficiency in English at the standard required for postgraduate study at the university.

Career prospects

Graduates from this programme are equipped for roles that combine data science with geospatial and Earth observation expertise. Typical career paths include:

• Remote sensing analyst or Earth observation scientist in space agencies, national meteorological and environmental agencies or research institutes.
• Data scientist, machine learning engineer or geospatial data engineer in commercial Earth observation and geospatial analytics companies.
• Environmental and agricultural monitoring specialist for consultancies, NGOs and government bodies using satellite data for resource management, disaster response and climate mitigation.
• Technical roles in satellite operations, mission data processing, or continuing to doctoral research in remote sensing and data science.

Students benefit from the programme’s practical focus and opportunities for industry-linked projects, which help build a portfolio of applied work attractive to employers.

Why study at University of Leicester

The University of Leicester hosts a strong research base in space and Earth observation through its Space Research Centre and interdisciplinary links across computer science, geography and physics. The programme leverages these strengths to provide specialist teaching and project opportunities using real satellite datasets and high‑performance computing facilities.

Students have access to practical laboratory facilities, guest lectures from industry and research partners, and support from the university’s careers and enterprise services. The course’s close ties with the regional and national space sector provide pathways to industry collaborations and applied dissertation projects.