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MSc Artificial Intelligence and Robotics with Advanced Research

Why choose Herts?

  • Industry Accreditation: Accredited by the British Computer Society (BCS) enabling graduates to register at The Chartered Institute for IT as a chartered IT professional.
  • Teaching Excellence: Our academics' research in Computer Science and Informatics has been rated world-leading or internationally excellent in the Research Excellence Framework (REF).
  • Work Placement Opportunities: You have a one-year industry placement option enabling you to gain real-world industrial experience. Students on this course have secured placements with Microsoft, Hewlett Packard and Ocado.

Professional Accreditations

Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

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About the course

The School has a strong international reputation for research in this area 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.

Graduates obtaining this award will be equipped to pursue research to PhD level, or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.

The programme offers three award routes that you can choose to study:  

Why choose this course?

  • The award offers the opportunity for you to study advanced research topics in computer science, normally across multiple specialisms, and comprehensive research methods, and to undertake an extended masters project on a cutting-edge research topic.
  • 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.
  • Computer Science saw 90% of its research ranked as world-leading (Research Excellence Framework, 2021). 
  • 7th for engineering and technology in the Postgraduate Taught Experience Survey (PTES, 2024).

What will I study?

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory, especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Where will I study?

Learn in our new School of Physics, Engineering and Computer Science building (SPECS), where you’ll experience a range of experiential learning zones.

The computer science labs are home to telecommunications, robotics and UX empathy labs, with a variety of research spaces that range from dark rooms to clean rooms, and sample prep labs to calibration and assembly labs.

You will also benefit from our Academic Support Hub, which is aimed at helping you build your employability and academic skills. Plus, have access to industry mentors who will provide you with pastoral support, vocational guidance, and career progression opportunities.

Spectra also provides space to collaborate, with plenty of workshops, social and meeting spaces available. Even better, the building has been designed with the University’s net zero carbon target in mind, and forms part of our plan to replace or upgrade older sites that are energy inefficient.

  • Level 7
    ModuleCreditsCompulsory/optional
    Artificial Life with Robotics30 CreditsCompulsory
    Neural Networks and Machine Learning30 CreditsCompulsory
    Theory and Practice of Artificial Intelligence30 CreditsCompulsory
    Team Research and Development Project15 CreditsCompulsory
    Advanced Research Topics in Computer Science30 CreditsCompulsory
    Research Methods30 CreditsCompulsory
    Artificial Intelligence and Robotics Masters Project60 CreditsCompulsory
    Responsible Technology15 CreditsCompulsory
  • Further course information

    Course fact sheets
    MSc Artificial Intelligence and Robotics - Extended Download
    Programme specifications
    MSc Artificial Intelligence and Robotics - Extended Download
    Additional information

    Sandwich placement or study abroad year

    n/a

    Applications open to international and EU students

    Yes

    Student experience

    At the University of Hertfordshire, we want to make sure your time studying with us is as stress-free and rewarding as possible. We offer a range of support services including; student wellbeing, academic support, accommodation and childcare to ensure that you make the most of your time at Herts and can focus on studying and having fun.

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