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Artificial Intelligence and Robotics with Foundation Year at Sheffield Hallam University - UCAS

Course options

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

Sheffield Hallam University has participated in the Teaching Excellence Framework.These ratings were awarded in 2023, for four years.

What does this TEF outcome mean?

Open days

6Jul
Sheffield Hallam University - Undergraduate open day
Undergraduate

Course summary

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

  • Develop artificial intelligence (AI) systems to solve complex problems
  • Use machine learning (ML) to support decision making
  • Design and build complex software and hardware robotic solutions
  • Work with companies to solve real-world practical challenges
  • Access to industry-standard facilities and technology
Through practice-based learning, you’ll develop a deep understanding of how AI and robotics are brought together to create the autonomous devices found in the industries of our modern world. You’ll become a practitioner who can build smart robotic devices – and create new ones – all the while understanding the responsibility and ethical considerations the convergence of AI and robotics requires. If you don't meet the entry requirements for our BA (Hons) course, or you’d like extra preparation before starting degree-level study, we recommend you join the foundation year. How you learn All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive. The combination of learning methods across the course allows you to develop your programming and electrical engineering skills as well as your wider professional skills – through problem-solving activities, practical implementation, and teamwork. These allow you to take an active approach to learning and self-development. You learn through:
  • Lectures
  • Hands-on lab sessions and tutorials
  • Regular feedback
  • Teamwork and group-based learning
  • Applied learning
  • Discussions
  • Self-study
You’ll be taught by experts from both Computer Science and Engineering disciplines, that builds into the cross-disciplinary course area, alongside experts who routinely hybridise the subject areas. Key themes You’ll build your understanding of how and when to use appropriate processes, tools, technologies and practices. You’ll develop programming skills which form the basis of key computer science topics – including algorithms and data structures. These feed into learning, creation and development of machine learning and artificial techniques that can be adapted and tailored for domain-specific problems. These fundamental skills are further strengthened by introducing you to real-world projects, where you’ll deepen your understanding of the design and development of embedded systems. Then in your final year, you’ll complete your own project that converges AI and robotic technologies – giving you the freedom to explore, research and apply new skills as you create a smart autonomous device you can be proud of. **Applied learning Work placements** You’ll have the opportunity to complete a year-long work placement before your final year. This helps you gain personal and professional skills through real-world experience – as well as an Applied Professional Diploma in addition to your degree, further enhancing your graduate profile. On placement you’ll apply the knowledge and skills you’ve gained on your course – in areas such as embedded systems, machine learning, artificial intelligence, software design and electrical engineering solutions. You’ll also be supported to take advantage of work experience opportunities throughout your course, through access to a range of support activities, resources and employer events from our Employability Team. These will further add to your employability skillset, confidence and opportunity-awareness – helping you to succeed in your career after graduating.

Modules

Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. You will be able to complete a placement year as part of this course. See the modules table below for further information. Year 1 Compulsory modules Electrical And Electronic Principles Foundation Mathematics 1 Functions And Calculus Fundamental Engineering Principles Fundamentals Of Materials And Manufacturing Elective modules Engineering Investigations Mathematical Investigations Year 2 Compulsory modules Analogue & Digital Electronic Engineering 1 Maths And Computational Methods Professional Engineering Practice Programming For Computer Science Year 3 Compulsory modules Advanced Programming Algorithms And Data Structures Artificial Intelligence And Machine Learning 1 Industrial Group Embedded System Project Year 4 Optional modules Placement Year Final year Compulsory modules Advanced Robotics, Automation, Machine Vision, And Sensor Fusion Artificial Intelligence And Machine Learning 2 Development Project Elective modules Machine Learning Algorithms And Heuristics Secure Software Engineering

Assessment method

Coursework, exams, practical

How to apply

31Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

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

https://www.shu.ac.uk/Courses/Computing/BSc-Honours-Artificial-Intelligence-and-Robotics-with-Foundation-Year/Full-time

English language requirements

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. If your English language skill is currently below IELTS 6.0 we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English score.

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

https://www.shu.ac.uk/Courses/Computing/BSc-Honours-Artificial-Intelligence-and-Robotics-with-Foundation-Year/Full-time/

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1
EU £16655 Year 1
International £16655 Year 1

Additional fee information

Our tuition fee for UK students starting full-time undergraduate study in 2024/25 is £9,250 per year. These fees are regulated by the UK government and are therefore subject to changes in government policy. During your placement year you will pay a reduced fee of £1,200. Our tuition fee for International/EU students starting full-time study in 2024/25 is £16,655 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 and Robotics with Foundation Year at Sheffield Hallam University - UCAS