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- Artificial Intelligence (AI)
- University of Hull
- MSc Artificial Intelligence for Geospatial Data Analysis
Course options
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Qualification
MSc - Master of Science
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Location
Hull Campus
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Study mode
Full time
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Start date
26-JAN-26
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Duration
1 Year
Course summary
Artificial intelligence (AI) and data science are revolutionising geospatial data analysis, reshaping how we understand and interact with our environment. Be at the forefront of this transformative field.
In todays data-driven world, geospatial data is incredibly powerful. AI is making a significant impact by enabling more precise environmental monitoring, enhancing urban planning, and optimising resource management.
The demand for skilled graduates who can harness the full potential of AI in geospatial data analysis has never been higher.
About this course
Geospatial analysis is being radically changed by embedding data science and data analytics into the discipline. Rather than a human being looking at data and images of the Earth, artificial intelligence is being increasingly deployed to automate tasks that humans cannot otherwise accomplish in any reasonable amount of time. Nationally, there is a widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists to meet the needs of industry. This course will equip you with the skills and professional insight needed to launch a career in this fast-growing sector.
As a conversion degree, you do not need a science background. And the knowledge you gain will help you build a portfolio that will launch you into the field of data science, acquiring highly sought after skills that will greatly enhance your career pathway. The programme will cover topics such as, programming, statistics, machine learning, data visualisation and computer vision and the ethical and legal responsibilities of using data. This geospatial data analysis variant will include bespoke modules covering the fundamentals of geo-information science and earth observation, and spatio-temporal big data analytics.
In the third semester, you will have the opportunity to choose or design their own research project in a disciplinary area which may relate to their background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner.
Tuition fees
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拢 14,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
73rd
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Campus address
University of Hull, Admissions Office, Cottingham Road, Hull, Kingston Upon Hull, HU6 7RX, England
Subject rankings
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Subject ranking
55th out of 117 1
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Entry standards
/ Max 227128 56%67th
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Graduate prospects
/ Max 10084.0 84%46th
4 -
Student satisfaction
/ Max 43.05 76%44th
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