Skip navigation
You are viewing our beta course page.

MSc Artificial Intelligence for Geospatial Data Analysis (Taught)

Course details
  • MS
  • 1 Years
  • Full-time
  • 26/01/2026
  • Postgraduate
Course location
The University of Hull

Course summary

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.

Modules

Core:

Programming for AI & Data Science
Understanding Artificial Intelligence
Applied Artificial Intelligence
Research & Application in Artificial Intelligence & Data Science
Fundamentals of Geospatial Data & Earth Observation
Artificial Intelligence & Data Science Research Project
Spatio-temporal Big Data Analytics

Assessment method

For a full Masters degree, you'll study 180 credits over the duration of your course. Some programmes offer a Postgraduate Diploma (PGDip) qualification or a Postgraduate Certificate (PGCert) qualification. For a PGDip, you'll study 120 credits, and for a PGCert, you'll study 60 credits.

How to apply

International applicants

If you require a Student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level. This course requires academic IELTS 6.5 overall, with no less than 6.0 in each skill. For other English language proficiency qualifications acceptable by this University, please click here. If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses. Visit your country page to find out more about our entry requirements.

Open days

Entry requirements

Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e. statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience.

English language requirements

TestGradeAdditional details
IELTS (Academic)6.5IELTS: 6.5 overall, 6.0 in each skill

Please click below for a list of the English language qualifications accepted by the University of Hull https://www.hull.ac.uk/Choose-Hull/Study-at-Hull/Admissions/English-language-requirements

Fees and funding

Tuition fees

LocationFeeYear
England£13800Whole course
Northern Ireland£13800Whole course
Scotland£13800Whole course
Wales£13800Whole course
Channel Islands£13800Whole course
Republic of Ireland£13800Whole course
EU£15000Whole course
International£15000Whole course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

All fees are subject to change

Like this page