Artificial Intelligence and Robotics with Foundation Year
Sheffield Hallam UniversityUCAS Points
80 points
About this course
Course summary
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:
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.
Entry Requirements
Study Options
This course is available in 2 study options:
Duration: 5 Years
Qualification: BSc (Hons)
Location: Sheffield
Duration: 4 Years
Qualification: BSc (Hons)
Location: Sheffield
Career Prospects
Graduates from this course typically go into the following occupations:
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Course Details
- Qualification
- Bachelor of Science (with Honours) - BSc (Hons)
- Study Mode
- Full-time including foundation year
- Duration
- 5 Years
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Sheffield
- Scheme
- Undergraduate
- Subjects
- Computer science, Electrical and electronic engineering