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Data Science with Artificial Intelligence

2 Study options · UndergraduateMain Site

Course summary

Data Science and Artificial Intelligence (AI) are rapidly growing fields, with demand for graduates across a wide range of sectors, including information technology, financial services, healthcare, telecommunications, business, environmental science and energy. This degree provides graduates with industrial-relevant knowledge and practical skills in data science and artificial intelligence. You will gain competence across a broad range of key areas, including programming, data curation and processing, data privacy and ethics, data management, using artificial intelligence ethically, visualisation, analytics, and modelling.

Hands-on learning
Hands-on, industry-linked learning from day one – with practical modules, expert support and a final showcase project aligned to global topics like AI and renewables.

Strong industry connections
Employers shape the curriculum, attend showcases, offer placements and guide career prep. Past placements include Apple, Red Bull Racing and Schneider Electric.

Cutting-edge facilities
Access specialist computer laboratories tailored for data science, software engineering and AI experimentation and high-performing computing resources.

This course is for you if...

  • you're interested in using data to solve real-world problems and building smart technologies

  • you like to learn through experience, using cutting-edge tools in programming and big data

  • you have an analytical, problem-solving mindset

  • you aim for a career that’s not only in demand but also dynamic and meaningful.

How to apply

Application codes

Course code:
G4I4
Institution code:
P60

This course may be available at alternative locations, please check if other course options are available.

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

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