Artificial Intelligence and Robotics with Foundation Year BSc (Hons)

**Please check the Sheffield Hallam University website for the latest information**<br/><br/>**Course summary**<br/>- Develop artificial intelligence (AI) systems to solve complex problems <br/><br/><br/>- Use machine learning (ML) to support decision making <br/><br/><br/>- Design and build complex software and hardware robotic solutions <br/><br/><br/>- Work with companies to solve real-world practical challenges <br/><br/><br/>- Access to industry-standard facilities and technology<br/><br/><br/>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.<br/><br/>If you dont 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.<br/><br/>**How you learn**<br/>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. <br/><br/>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. <br/><br/>You learn through: <br/><br/><br/>- Lectures <br/><br/><br/>- Hands-on lab sessions and tutorials <br/><br/><br/>- Regular feedback <br/><br/><br/>- Teamwork and group-based learning <br/><br/><br/>- Applied learning <br/><br/><br/>- Discussions <br/><br/><br/>- Self-study <br/><br/><br/>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.<br/><br/>**Key themes**<br/>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. <br/><br/>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. <br/><br/>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. <br/><br/>**Applied learning<br/>Work placements** <br/>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. <br/><br/>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. <br/><br/>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.