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Artificial Intelligence (Work Experience) at Sheffield Hallam University - UCAS

Course options

2025 - 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 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 Experience A work experience placement is recognised as the ‘gold standard’ opportunity to apply your knowledge within an industry of your choice, to which we expect all our students to aspire. All students are encouraged and supported to undertake a full-time work placement and the course is designed to give you the knowledge, confidence and readiness to secure and succeed in this. To complement this, you have access to various support activities, resources, employer events and opportunities from the Careers & Employability Team to ensure you make the most of your work experience opportunities during your degree. In addition to this support, you will complete a short, seventh module that prepares you for gaining a placement. In addition, the transformative impact that a placement can have on personal and professional development can be further enhanced through the completion of Sheffield Hallam’s Applied Professional Diploma. The Applied Professional Diploma is a qualification that demonstrates the learning you have gained from the placement, and it is undertaken while on placement not during the normal academic class time.

Modules

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. Following any changes, updated module information will be published on our website. Year 1: Compulsory modules Advanced Robotics And Artificial Intelligence Ai Development Project Deep Neural Networks And Learning Systems Postgraduate Work Experience Applied Professional Diploma Research Skills For Computing Final year: Compulsory modules Artificial Intelligence Seminar Series Computing Research Project

Assessment method

Coursework

Entry requirements

Academic Qualifications: First degree classification of 2:2 or above. In a relevant subject area, including (but not limited to) Computer Science, Software Engineering, Technical Computing, Games Programming. OR With relevant and substantial industry experience in software engineering or software development in leu of a relevant first degree. Level of English language capability: IELTS 6 (with all components above 5.5), or equivalent.

English language requirements

TestGradeAdditional details
IELTS (Academic)6IELTS 6 (with all components above 5.5), 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-Work-Experience/Full-time

Fees and funding

Tuition fees

England £12120 Whole course
Northern Ireland £12120 Whole course
Scotland £12120 Whole course
Wales £12120 Whole course
Channel Islands £12120 Whole course
Republic of Ireland £12120 Whole course
EU £19225 Whole course
International £19225 Whole course

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

For this work experience route, your fees will be payable over two years, divided into two annual payments based on credits studied. The fee includes dedicated employability support to help you prepare for and secure work experience. It does not guarantee you a placement and if a placement is not secured the work experience fee will still be charged. If a placement is not secured you will transfer to the standard version of the course to complete your remaining credits, where the balance of your course fees will be due in year one in line with completing the course.

Sponsorship information

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

Artificial Intelligence (Work Experience) at Sheffield Hallam University - UCAS