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.
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
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6.5 | IELTS: 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
England | £13800 | Whole course |
Northern Ireland | £13800 | Whole course |
Scotland | £13800 | Whole course |
Wales | £13800 | Whole course |
Channel Islands | £13800 | Whole course |
Republic of Ireland | £13800 | Whole course |
EU | £15000 | Whole course |
International | £15000 | Whole 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
Provider information
University of Hull
Admissions Office
Cottingham Road
Hull
HU6 7RX