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MSc Artificial Intelligence for Geospatial Data Analysis
University of Hull

Student rating
(4.1)

Find out more about studying MSc Artificial Intelligence for Geospatial Data Analysis at University of Hull? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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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

Jan 2027

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Duration

1 Year

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Course info

In today’s 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.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 your own research project in a disciplinary area which may relate to your background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner.

Key stats
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Complete University Guide ranking
81st
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Complete University Guide Computer Science ranking
55th
Tuition fees
Student living
£12,900 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

The University of Hull is one of the most innovative and influential institutions located in the north of England. Gaini...

Student rating
(4.1)
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CUG ranking 81st
University of Hull
Cottingham RoadHullHU6 7RXUnited Kingdom