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- Artificial Intelligence and Robotics BSc (Hons)
Course options
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Qualification
Bachelor of Science (with Honours) - BSc (Hons)
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Location
Main Site
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Study mode
Full time
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Start date
22-SEP-25
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Duration
3 Years
Course summary
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 technologyThrough 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.
How you learnAll 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
Key themesYou’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 learningWork placementsYou’ll have the opportunity to complete a year-long work placement between your second and third 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.
Live projectsApplication deadline
29 January
Tuition fees
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£ 16,655per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
Entry requirements
Choose a qualification
QUALIFICATION TYPE
UCAS Points : 112 - 120
This must include at least 64 points from two A Levels or equivalent BTEC National qualifications. For example:BBC-BBB at A Level, including a C or above in A-Level mathematics.DDM in BTEC Extended Diploma.Merit overall from a T level qualificationA combination of qualifications which may include AS levels, EPQ and general studies.You can find information on making sense of UCAS tariff points here and use the UCAS tariff calculator to work out your points.
VIEW MOREUniversity information
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University League Table
63rd
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Campus address
Sheffield Hallam University, City Campus, Howard Street, Sheffield, Sheffield, S1 1WB, England
Subject rankings
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Subject ranking
75th out of 117 7
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Entry standards
/ Max 227120 53%87th
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Graduate prospects
/ Max 10081.0 81%59th
4 -
Student satisfaction
/ Max 43.01 75%57th
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