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Sheffield Hallam University: Artificial Intelligence
| Institution | Sheffield Hallam University |
|---|---|
| Department | College of Business Technology and Engineering |
| Web | http://www.shu.ac.uk |
| Telephone | (+44) 0114 225 5533 |
| Study type | Taught |
MSc
Summary
Please check the Sheffield Hallam University website for the latest course information.
Course summary - Study modern AI practices, theories, techniques and ethical considerations.
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Develop your problem-solving skills by applying AI methods.
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Gain in-depth understanding by exploring rigorous development processes.
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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.
For full details of course modules, assessments, and teaching methods, please visit the course page on our website: https://www.shu.ac.uk/courses/Computing/MSc-Artificial-Intelligence/Full-time
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
Summary
Please check the Sheffield Hallam University website for the latest course 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.
For full details of course modules, assessments, and teaching methods, please visit the course page on our website: https://www.shu.ac.uk/courses/Computing/MSc-Artificial-Intelligence/Full-time
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
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
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Tutorials and seminars
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Regular feedback
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Laboratory sessions
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Real-world problems
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Practical activity-based sessions
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Group and individual project work
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Supervisor support and guidance
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Acting as mentors for new students
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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).
| Level | RQF Level 7 |
|---|---|
| Entry requirements | First degree in a relevant subject area, including (but not limited to): Computer Science, Software Engineering, Games Programming. 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. |
| Location | Main Site City Campus Howard Street Sheffield S1 1WB |
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