Satellite observations of the Earth provide us with detailed information about the natural environment and allow us to monitor how humans are altering the planet. This degree gives a broad-based education in data analytics techniques suitable for careers in data science in multiple sectors.
Satellite observations of the Earth provide us with detailed information about the natural environment and allow us to monitor how humans are altering the planet. Uptake, use, and commercialisation of Earth observation data demands expertise in data analysis. There is a need for graduates who understand the principles of remote sensing whilst being able to write computer programmes, especially in Python, and use high-performance computing infrastructure. This course covers these areas, placing you in a strong position to seek employment in industry.
On this degree you will:
Use data from space-based sensors to understand and tackle pressing global environmental challenges related to the biosphere and atmosphere.
Develop analytical skills to use and process big datasets from satellites and other sensors.
Learn to effectively use and modify open-access big data processing environments such as Python and R.
Get started with cutting-edge image processing techniques, artificial intelligence and machine learning, on different platforms (e.g. cloud computing).
Gain an appreciation for the extensive application of Earth observations to multiple sectors throughout the world.
Satellite Data Systems expertise at the University of Leicester
Space Park Leicester is an ambitious project for creating a new £100 million centre for the analysis and commercialisation of space-enabled data and space mission development. Phase 1 is already approved and will consolidate Earth observation expertise and resources from across the university and promote innovative collaborations with collocated space sector industries.
2:2 degree (or equivalent) in a relevant subject. Non-standard qualification or professional experience in a relevant area may be considered.
English Language Requirements
IELTS 6.5 or equivalent, with at lease a score of 6 in all four categories. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
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You will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.
From 2022 onwards, EU nationals will pay the International fee. If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria).
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.
Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Industrial placement (optional)
Industrial placement (optional)
Studying a 'with industry' masters degree is the perfect way for you to enhance your career prospects and deepen your understanding of your specific area of expertise. By experiencing real-world scenarios and applying your skills and knowledge to business challenges, you will gain a unique insight into how your studies can be utilised in industry. This will not only showcase your abilities to future employers, but will also enhance your studies when you return to University to complete your programme.