Skip to main content

Machine Learning and Artificial Intelligence

Machine learning and artificial intelligence are starting to play far bigger roles in our daily lives. They are used in digital assistants that respond to our voices, self-driving cars and adaptive education systems.

Machine learning provides a means for computer systems to extract useful information out of data. These techniques are widely used in the technology industry for a variety of applications, for example, recommending music and other products to people, identifying faces in photos and predicting trends in financial markets.

By studying this degree you will:

  • gain the mathematical and engineering knowledge to construct working machine learning and AI systems.
  • learn how machines make sense of the world through intelligent signal processing.
  • carry out a substantial practical project where you’ll construct an AI system and apply it to a problem.

Specialism structure​

To gain a BSc in Computer Science (Machine Learning and Artificial Intelligence), you complete modules to a value of 360 credits.

This includes: 8 compulsory modules at Level 4
8 compulsory modules at Level 5
6 elective modules from Level 6.

You must also complete a Final Project.

Required elective modules​

  • Databases and advanced data techniques
  • Machine learning and neural networks
  • Natural language processing
  • Artificial intelligence
  • Intelligent signal processing
  • and one other module from the list of elective modules.