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MSc Artificial Intelligence (Machine Learning)

Liverpool John Moores University

About this course

A very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.

  • Embark on this newly developed course on a topic of great recent and predicted growth
  • Explore the theory of machine learning and practical applications
  • Benefit from studying both the practical focus and real industrial applications - this is one of a small number of such courses available
  • Learn from academics with substantial experience in machine learning and industrial collaboration

Machine Learning is the scientific study of the ways in which computer systems can be programmed to perform a specific task without using explicit instructions, relying on patterns and inference instead through algorithms and statistical models.

This course is unique in combining theoretical and practical aspects of Machine Learning that will prepare graduates for a career in Industry or Academia. Modules include both aspects throughout the programme and prepare graduates for a variety of roles in Machine Learning development and deployment.

Assessment

How learning is monitored on your programme

To cater for the wide-ranging content of our courses and the varied learning preferences of our students, we offer a range of assessment methods on each programme. Assessment techniques vary from module to module to reflect relevant assessment approaches and the key learning points of each topic.

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Modules

  • Compulsory modules
  • Accelerated Machine Learning
  • Advanced Topics in Deep Learning
  • Research Methods
  • Project Dissertation
  • Foundations of Machine Learning
  • Deep Learning Concepts and Techniques
  • Enterprise Machine Learning
  • Requirements

    Listed below are the documents required to apply for this course.
    £18,250 Per Year

    International student tuition fee

    1 year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time