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MSc Data Science and Artificial Intelligence

University of Liverpool

Overview

The MSc Data Science and Artificial Intelligence is a conversion master's, designed for students who have a first degree in a subject other than Computer Science (or a subject closely related to Computer Science), who wish to develop their knowledge and skills to start a career in the Data Science and Artificial Intelligence Industry. The course has been developed in close collaboration with a number of commercial partners including IBM to meet the skills gaps in this growing employment area.

Why Computer Science?

Learn from leading experts in a culture of research excellence

The Department is a Centre of Excellence with respect to teaching and research. The latest Research Excellence Framework rated 97% of our research outputs as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK. With our close industry partners, and our Russell Group status, we enjoy strong funding from a mixture of European, national and industrial sponsors, providing a balanced portfolio of activity that feeds back into teaching.

Career prospects

There is a well documented global shortage of Data Science and Artificial Intelligence practitioners. Employment opportunities within this field far outstrip supply.

The MSc Data Science and Artificial Intelligence addresses this skills gap by providing graduates with employment opportunities across the sector with a particular focus on, but not limited to, career opportunities within the field of Data Science and Artificial Intelligence. This includes interdisciplinary opportunities, by coupling knowledge of Data Science and Artificial Intelligence with the knowledge that graduates have acquired from their first degree.

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Modules

  • Global Trends in Computer Science (15 credits)
  • Mathematics and Statistics for Data Science and AI (15 credits)
  • Software Development in Practice (15 credits)
  • Databases and Information Systems (15 credits)
  • Reasoning and Intelligent Systems (15 credits)
  • Machine Learning in Practice (15 credits)
  • Multi-Agent Systems (15 credits)
  • Robotics (15 credits)
  • Deep Learning (15 credits)
  • Natural Language Processing and Understanding (15 credits)
  • Requirements

    Listed below are the documents required to apply for this course.
    1 year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time