MSc Artificial Intelligence and Robotics with Placement Year

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University of Hertfordshire

The School has a strong international reputation for research in Artificial Intelligence and Robotics and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. This MSc can lead to a career such as a designer of intelligent systems or in research.

This course is part of our Master's programme in Computer Science. 

Why choose this course?

  • Through your placement year you will gain industrial experience and be able to practice applying the skills you have learned throughout your studies.
  • One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Artificial Intelligence and Robotics.
  • Advanced topics studied include artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence.
  • Taught by a highly-regarded and long-established computer science department.
  • Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014.
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    Modules

  • Compulsory modules
  • Artificial Life with Robotics
  • Neural Networks and Machine Learning
  • Theory and Practice of Artificial Intelligence
  • Preparation for Placement
  • Professional Work Placement for MSc Computer Science
  • Team Research and Development Project
  • Legal and Ethical Practice Exercise
  • Artificial Intelligence and Robotics Masters Project
    • Use our magical AI system, to check your admission chances for this course.
    £18,950 Per Year

    International student tuition fee

    2 Years

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024
    • January 2025
    • September 2025
    • September 2026

    Mode of Study

    • Full Time
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