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MSc Artificial Intelligence and Machine Learning

  • DeadlineStudy Details:

    MSc: 1 year full-time

Course Description

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.

Entry Requirements

An undergraduate degree in a cognate subject area.

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Fees

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Programme Funding

There are many ways to fund postgraduate study for home and international students. From loans to International Scholarships and subject-specific funding, you’ll find all of the information you need on our specialist postgraduate funding pages.

Student Destinations

LJMU has an excellent employability record with 96% (HESA 2017) of our postgraduates in work or further study six months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.

As a machine learning graduate, you can expect to be responsible for creating software, algorithms and mechanisms that support intelligent systems, that can learn and develop themselves as they operate. Self-driving cars, pattern recognising predictive systems, for instance, are examples of such systems. Machine Learning medical systems that can recognise patterns to predict health outcomes are becoming increasingly relevant for medical prediction and diagnosis.

You will provide computers with the automatic ability to learn, fine tune and improve performance with their own experience.

In addition, there are huge opportunities in research, both academic and in industry, developing new algorithms, systems and conducting experiments on intelligent systems.

Module Details

Core Modules

Research Methods 20 credits
Project Dissertation 60 credits
Deep Learning Concepts and Techniques 20 credits
Accelerated Machine Learning 20 credits
Advanced Topics in Deep Learning 20 credits
Enterprise Machine Learning 20 credits
Foundations of Machine Learning 20 credits

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