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AI and Machine Learning Modules

Curriculum Details

  • 10 courses
  • 180 credits
  • Two-year course duration

The programme curriculum provides a comprehensive and practical education designed to be completed in as little as 24 months. Each eight-week course builds your expertise in critical areas, from foundational algorithms to advanced neural networks. You will develop a robust skillset through hands-on projects, preparing you to create and deploy sophisticated solutions in a professional capacity. The programme culminates in a capstone project where you’ll apply your learnings to a real-world challenge.

Multiple entry and exit routes available. Take breaks when you need them and choose a qualification that best suits you:

Please note that occasionally we may make changes to our programme curriculum. You may not always study modules in the order they are listed here.

Phase 1 – 60 credits

Credits

Learn the essential skills to design, justify, and validate research in real-world AI and machine learning contexts. Develop the skills needed to think like a researcher – identifying meaningful problems, selecting the right methods, and backing up your findings with evidence.
Gain core programming and problem-solving skills needed to succeed in AI and machine learning. This is where you’ll design efficient algorithms, equipped with the skills and knowledge needed to write clean and reliable code.
Learn how to work confidently and creatively with data – the foundation of every AI and machine learning project. You’ll learn how to gather data from different sources, clean and transform it, analyse it for insights and communicate your findings through code and visual outputs.
This is an introduction to the core ideas and techniques behind modern artificial intelligence. Develop a deep understanding of how AI systems reason and act – as well as how to apply these methods to solve everyday problems.

Phase 2 – 60 credits

Credits

Build a strong foundation in the key methods , and practices that drive modern machine learning. Explore how different ML algorithms work and how to critically assess and apply your learnings to complex problems.
Dive into the world of deep neural networks – the technology behind breakthroughs in computer vision and generative AI. Understand how deep learning models work and practically apply your new expertise to real datasets.
Explore the technologies that enable computers to understand and generate human language. This module covers everything from classic rule-based systems to cutting-edge transformer models and large language models.
This is an introduction to powerful techniques that allow computers to interpret images and video. You’ll learn how to build your own computer vision models using deep learning to tackle real-world visual recognition tasks.

Phase 3 – 60 credits

Credits

Take machine learning models from experimentation into production. Gain hands-on experience in automating workflows and model lifecycles and building tools to keep AI systems running reliably at scale.
This is your opportunity to apply everything you’ve learned to a substantial, independent investigation in AI or Machine Learning. You’ll choose between a practically applied project or a research-focused dissertation to explore a topic in depth.

Other Entries

Credits

Phase 1

  • Research Methods
  • Programming and Algorithms
  • Data Programming
  • Artificial Intelligence

Phase 2

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision

Postgraduate Diploma Details

Phase 1

  • Research Methods
  • Programming and Algorithms
  • Data Programming
  • Artificial Intelligence

Postgraduate Certificate Details

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