Available for Clearing 2024
**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 ro...
**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.
Do you want to be part of a friendly, inclusive student community? Then look no further.
Sheffield Hallam's commitment to equal opportunities has seen them ranked amongst the top 10 universities in the world for their impact on reducing inequality (Times Higher Education Impact Rankings 2023). That means friendly staff, gold-standard teaching across all faculties (Teaching Excellence Framework 2023) and career-relevant modules. Sheffield Hallam's staff are committed to close support throughout your studies. You’ll have access to three academic advisors to help you achieve ...
Do you want to be part of a friendly, inclusive student community? Then look no further. <br/><br/>Sheffield Hallam's commitment to equal opportunities has seen them ranked amongst the top 10 universities in the world for their impact on reducing inequality (Times Higher Education Impact Rankings 2023). That means friendly staff, gold-standard teaching across all faculties (Teaching Excellence Framework 2023) and career-relevant modules. Sheffield Hallam's staff are committed to close support throughout your studies. You’ll have access to three academic advisors to help you achieve your full potential.<br/><br/>With over 20,000 professional placements offered every year, you'll graduate with an impressive CV and enviable experience. Computer scientists could work with brands like IBM, lawyers with Irwin Mitchell and DLA Piper, and business students can engage in real-client projects for major companies like Lloyds Banking Group. <br/> <br/>You'll also be studying in one of the top 10 most affordable student cities in the UK (NatWest Student Living Index 2023). With exciting nightlife, delicious food, & the stunning Peak District all on your doorstep, you'll feel right at home! <br/><br/>Register Interest today!
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
23/09/2024
Campus
Main Site
Provider Details
Codes/info
Course Code
AA17
Institution Code
S21
Points of Entry
Year 1
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