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University of Leicester: Satellite Data Science
| Institution | University of Leicester |
|---|---|
| Department | Geography |
| Web | http://www.le.ac.uk |
| pgadmissions@le.ac.uk | |
| Telephone | +44 (0)116 252 5381 |
| Study type | Taught |
MSc
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.
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.
Students taking the ‘with industry’ version of the degree can seek placements with a range of commercial organisations associated with Earth Observation and data science sectors of the economy. Students seeking placements are supported by two Placement modules, one taken in each semester.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:2 degree (or equivalent) in a relevant subject. Non-standard qualification or professional experience in a relevant area may be considered. 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. Find your country in this list to check equivalent qualifications, scholarships and additional requirements. |
| Location | Main Site University Road Leicester LE1 7RH |
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.
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.
Students taking the ‘with industry’ version of the degree can seek placements with a range of commercial organisations associated with Earth Observation and data science sectors of the economy. Students seeking placements are supported by two Placement modules, one taken in each semester.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:2 degree (or equivalent) in a relevant subject. Non-standard qualification or professional experience in a relevant area may be considered. 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. Find your country in this list to check equivalent qualifications, scholarships and additional requirements. |
| Location | Main Site University Road Leicester LE1 7RH |
Summary
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**
The University of Leicester is the UK hub of Earth observations research and expertise. We host the NERC National Centre for Earth Observation (NCEO), established the Centre for Landscape and Climate Research (CLCR) in 2012, and created the world-class Leicester Institute for Space and Earth Observation (LISEO) in 2016 following 55 years of international space research.
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements 2:2 degree (or equivalent) in a relevant subject. Non-standard qualification or professional experience in a relevant area may be considered. 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. Find your country in this list to check equivalent qualifications, scholarships and additional requirements. |
| Location | Main Site University Road Leicester LE1 7RH |
Summary
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**
The University of Leicester is the UK hub of Earth observations research and expertise. We host the NERC National Centre for Earth Observation (NCEO), established the Centre for Landscape and Climate Research (CLCR) in 2012, and created the world-class Leicester Institute for Space and Earth Observation (LISEO) in 2016 following 55 years of international space research.
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements 2:2 degree (or equivalent) in a relevant subject. Non-standard qualification or professional experience in a relevant area may be considered. 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. Find your country in this list to check equivalent qualifications, scholarships and additional requirements. |
| Location | Main Site University Road Leicester LE1 7RH |
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