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Computer Science (Artificial Intelligence and Data Science)

Course details
  • 2 Study options
  • Undergraduate
Course location
Main Site

Course summary

Develop a specialist understanding of the key conceptual and technological issues in artificial intelligence and data science computation.

Why study BSc Computer Science (Artificial Intelligence and Data Science)

  • In this BSc Computer Science pathway, you'll develop and understand cutting-edge machine learning models, alongside their implications. You'll also get to grips with the theoretical underpinnings and implementation of machine learning.

  • You'll develop key skills in applying datasets to a range of models including deep learning neural networks, and applying models to a range of divergent problems.

  • You'll also explore the ethical and social implications of the deployment of machine learning models, and consider their limitations and validity.

  • You'll learn how to extract useful information from large collections of data, using software mining techniques.

  • The degree is hands-on and practical from the start. You'll be creating your own web and mobile applications, data visualisations, and games. You will explore your potential through these practical projects while learning relevant technical skills for your future career.

  • In your third year, you'll have the opportunity to undertake a year-long industry placement (making this programme four years full-time, or eight years part-time). This gives you valuable experience to build confidence and contacts, further develop your skills and industry insight, and enhance your career prospects.

How to apply

Application codes

Course code:
G4I4
Institution code:
G56

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.

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