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Data Science (Satellite Data) MSc, PGDip

Data Science (Satellite Data) MSc, PGDip

Different course options

Full time | Main Campus | 1 year | SEP-25

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course Summary

This interdisciplinary MSc in Data Science (Satellite Data) trains students in Data Science with an emphasis on the development and use of satellite observations of the Earth and its atmosphere for understanding the natural environment and how it is being impacted by human behaviour.

You will be taught the basic operational principles of different remote sensing and earth observation platforms and sensors, learn how to use a variety of data- and image-processing techniques and software, and gain practical experience of using satellite data and data products in a number of applied terrestrial and atmospheric contexts.

The uptake, use, and commercialisation of satellite data demands expertise in Data Science so you will be trained in a broad range of data science techniques, including machine learning. These skills are not limited to a career focused on satellite observations. They address the shortage of qualified data scientists in the UK and abroad on graduation you will be in a strong position for a career in a range of data science sectors.

If you select the ‘With Industry’ version of this degree, you will have the opportunity to seek a placement from among a range of commercial, industrial and governmental organisations seeking to gain insight and understanding from geographical data analyses.

NB. The PGDip in Data Science Studies (Satellite) has the same modules as the MSc in Data Science (Satellite) but does not include a dissertation.

Modules

As we increasingly rely upon the online environment for our daily routines, we leave behind a vast amount of information about us. Commercial and public organisations can use this information to predict our behaviour. In this module you will study the methods and tools that enable someone to identify variables of interest and their relationships from an existing data set in order to develop a statistical model that can predict values of variables of interest. This kind of analysis can give an insight into individual preferences, and most importantly, what someone is likely to do in a given scenario. Some of the applications include credit bank approval, marketing, stock price predictions, demand forecasting or political campaigning.
Dissertation - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,950

International fees
Course fees for EU and international students

For this course (per year)

£23,650

Entry requirements

Students are required to have a second-class honours degree in any subject. Students with nonstandard qualifications are encouraged to apply. We also give due consideration to prior professional experience gained by mature students in relevant areas of work. In such cases, applicants would be expected to provide full details to enable its full evaluation by admissions staff.

University information

The University of Leicester, established in 1921, is celebrated for its pioneering research and inspiring teaching. Known for transformative discoveries like genetic fingerprinting and the identification of King Richard III, Leicester has earned a reputation for innovation and impact. With over 60 years of leadership in space research, the university has contributed more than 90 instruments to international space missions, including equipment on...more