Course contact details
Postgraduate Admissions
Email:postgraduate@harper-adams.ac.uk
Phone:0300 131 3950
Harper Adams University
Newport
TF10 8NB
Data Science for Artificial Intelligence (Taught)
- 2 Study options
- Postgraduate
- Harper Adams University, Newport
Course summary
Why study Data Science?
There is a huge skills gap in the United Kingdom’s workforce when it comes to data science and artificial intelligence. The Government’s Digital Skills strategy states that within the next 20 years, 90 per cent of all jobs will require some element of digital skills, with data science pinpointed as a priority area for investment.
Developed off the back of Harper Adams University's existing taught postgraduate programme in Data Science for Global Agriculture, Food and Environment, the new Data Science for Artificial Intelligence PgD and MSc routes add training on a specific set of data science skills involving computer vision, cloud computing and generative Artificial Intelligence (AI), such as large language models (for example, ChatGPT).
The UK has positioned itself as a global leader in AI and data science, with government initiatives such as the AI Sector Deal and the National Data Strategy emphasising the importance of these fields. However, despite this focus, there remains a significant skills gap.
According to the UK Government 2021 AI Roadmap, the demand for AI and data science professionals far outpaces the supply. The need for experts in machine learning, AI-driven communication, and data analytics is critical, as companies across sectors struggle to find qualified candidates.
These skills are also in high demand internationally, so the course will be attractive to international students wishing to study in the UK.
Modules
Entry requirements
Candidates should possess one of the following:
An honours degree in an appropriate subject-specific disciplines such as human health, finance, agriculture, food science, environmental studies, or other specialised fields who wish to apply data science and AI techniques within their areas of expertise, including those with a background in technical subjects like computer science, mathematics, or statistics;
A good UK based HND or Foundation Degree or equivalent in a relevant subject together with related industrial or professional experience of at least two years;
A Graduate Diploma or Graduate Certificate in a relevant discipline or equivalent.
To apply for this course a degree indicating basic quantitative and mathematical skills is required and applicants are expected to demonstrate some ability and interest in this area. Whilst formal techniques are taught as part of the MSc course, some prior training and enthusiasm in these areas is expected.
Fees and funding
Tuition fees
Per year tuition fees
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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
For full details of all our fees please visit the above webpage.
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