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Artificial Intelligence at Sheffield Hallam University - UCAS

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2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Please check the Sheffield Hallam University website for the latest information. Course summary

  • Study modern AI practices, theories, techniques and ethical considerations.
  • Develop your problem-solving skills by applying AI methods.
  • Gain in-depth understanding by exploring rigorous development processes.
  • Cultivate a substantial portfolio of commercial-quality work.
On this course you’ll learn techniques relevant to the field of AI, from machine learning and to natural language processing. You’ll consider real-world challenges while developing your problem-solving and professional skills – plus a portfolio that enhances your employability in the dynamic field of AI, as well as other related industries. How you learn At Sheffield Hallam, all our courses are designed to engage you with the world and challenge you to think in new ways. You’ll get to collaborate with others, and you’ll be taught in a supportive environment where you can thrive. This course emphasises hands-on learning in AI and machine learning, covering key areas like neural networks, robotics, natural language processing and computer vision. You’ll prepare for real-world challenges through practical projects and collaborations with industry partners. The course also focuses on ethical considerations, security, privacy, and AI bias, encouraging a responsible approach to AI. Our expert staff help you gain both theoretical knowledge and practical skills, enhancing your employability. You learn through:
  • Lectures
  • Tutorials and seminars
  • Regular feedback
  • Laboratory sessions
  • Real-world problems
  • Practical activity-based sessions
  • Group and individual project work
  • Supervisor support and guidance
  • Acting as mentors for new students
  • Self-directed study
Key themes You’ll explore technical concepts across key areas of AI, including machine learning foundations, neural networks, cognitive systems for robotic logic and computer vision techniques. When combined, these lead into early course projects such as simulating a self-driving robot and evaluating its success. You’ll then progress onto larger projects with industry clients that solve real-world problems. During those projects, you’ll have regular scrum meetings with academics and clients that identify narratives, learning needs and action plans to progress. You could find yourself working on a recommendation system for a retail company, or training robot football players to win the robot football world cup. Ultimately you’ll engage in and with AI research, enhancing your learning and leading into your individual dissertation project. This is your opportunity to tailor your own piece of work in the discipline – as wide ranging as a computer-game-playing robot to screening skin conditions – with regular support from your supervisor. Applied learning Work placements This course has a work experience route that offers a placement in industry of up to 12 months. For further information, please see MSc Artificial Intelligence (Work Experience).

Modules

Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page. Modules studied may differ depending on when you start your course. Final year Compulsory modules Advanced Robotics And Artificial Intelligence Ai Development Project Artificial Intelligence Seminar Series Computing Research Project Deep Neural Networks And Learning Systems Research Skills For Computing

Assessment method

Coursework.

Entry requirements

First degree in a relevant subject area, including (but not limited to): Computer Science, Software Engineering, Games Programming. Applicants with a first degree in another technical computing field will also be considered. First degree classification of 2:2 or above. We would also consider applicants with relevant and substantial industry experience in software engineering or software development in leu of a relevant first degree. #If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

English language requirements

TestGradeAdditional details
IELTS (Academic)6If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

Please click the following link to find out more about English language requirements for this course

https://www.shu.ac.uk/courses/Computing/MSc-Artificial-Intelligence/Full-time

Fees and funding

Tuition fees

England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
Republic of Ireland £9535 Year 1
EU £17155 Year 1
International £17155 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Our tuition fee for UK students on full-time undergraduate degree courses in 2025/26 is £9,535 per year. These fees are regulated by the UK government and therefore subject to change in future years. During your placement year you will pay a reduced fee of £1,200. If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found at https://www.shu.ac.uk/study-here/terms-and-conditions-and-student-regulations under student fees regulations. Our tuition fee for International/EU students starting full-time study in 2025/26 is £17,155 per year. During your placement year you will pay a reduced fee of £1,200. Please refer to our website for up-to-date information on costs and fees: https://www.shu.ac.uk/study-here/undergraduate/fees

Sponsorship information

Scholarships, discounts and bursaries may be available to students who study this course.

Artificial Intelligence at Sheffield Hallam University - UCAS