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Satellite Data Science MSc

University of Leicester

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University of Leicester

Course options

3 options available

  • Qualification

    MSc - Master of Science

  • Location

    University of Leicester

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • Duration

    12 months

Course summary

Interested in playing a critical role at the interface of physical, computer and environmental science? Analysing satellite data is key to monitoring air quality, land use and deriving climate change indicators and has many commercial uses. This course teaches the principles and applications of remote sensing and data science techniques. As a trained data scientist many careers are open to you.

Course description

This interdisciplinary MSc in Satellite Data Science trains you in 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.

The course is accessible to students without a strong computing and mathematical background.

You will be taught the basic operational principles of different remote sensing/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 has created a demand for expertise in Data Science and you will be trained in a broad range of data science techniques.

The course is structured so that transferable data science skills taught and developed within a strong disciplinary and vocational context. These skills are not limited to a career focused on satellite observations. You will gain experience in coding that will help you to process large amounts of data that are often needed for a number of data science methods (such as machine learning). They address the shortage of qualified data scientists in the UK and abroad and will place you in a strong position for a career in a range of data science sectors.

Careers and employability

This course will provide you with a broad-based education in data analytics techniques suitable for a career in data science in multiple sectors, not necessarily limited to a career focused on satellite observations: research, academia, industry, SMEs, start-ups, government, policy, NGOs, not-for-profits. You will gain practical experience using tools and software (R, Python) that increase your employability and contribute to addressing the shortage of qualified data scientists in the UK and abroad.

Application deadline

09 September 2024

Tuition fees

Students living in Hong Kong
(International fees)

£ 23,650per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Leicester

University of Leicester

University of Leicester

  • University League Table

    36th

  • Campus address

    University of Leicester, University Road, Leicester, Leicestershire, LE1 7RH, England

VIEW PROFILE
A popular choice for international students, with an alumni community from over 100 countries, sharing their cultures with each other.
Leicester is in the centre of England with great transport links, making it easy to explore the whole country while studying at the university.
Want to explore further afield? Leicester has great European links – with one change of train, Leicester students can be in Paris by lunchtime.

Subject rankings

  • Subject ranking

    Computer Science

    35th out of 117 3

    25th out of 30 4

  • Entry standards

    / Max 227
    133 59%

    53rd

  • Graduate prospects

    / Max 100
    90.0 90%

    28th

    8

  • Student satisfaction

    / Max 4
    3.08 77%

    35th

    11

  • Entry standards

    / Max 229
    116 50%

    26th

  • Graduate prospects

    / Max 100
    74.0 74%

    25th

    7

  • Student satisfaction

    / Max 4
    3.03 76%

    22nd

    13

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