Technology has revolutionised the way we live, build, work, shop, learn and even access medical care. On this forward-looking degree, you’ll get hands-on skills across a range of topics including coding, algorithms, database and software development, cyber security, networks and social, legal and ethical aspects of IT.You will study advances in new technologies such as artificial intelligence, automation, virtual reality and smart devices for our homes. You can enhance your CV with a work placement with well-known brands and industry leaders such as the BBC, the Met Office, Microsoft, the National Physical Laboratory or Nestlé to open up a wide range of career possibilities.
In your first year, you’ll engage with the foundations of computer science from programming to algorithms and mathematics. We’ve structured the curriculum to accurately reflect the industry and its many areas of specialisation. You’ll study programming techniques, database development, how to capture requirements and what happens inside a computing operating system. A hands-on course from the outset, you’ll benefit from a number of practical workshops as well as preparing for your third year work placement.In the second year, you’ll build on the knowledge you’ve already acquired, engaging with new subjects that will help you identify possible career paths. Students will explore artificial intelligence and machine learning. You will learn how to navigate different processor architectures with low level programming for IoT devices. An integrating project combines all the skills you have learnt so far, and allows you to undergo a full software lifecycle, starting with a concept and ending with a product.In the third year you’ll do your industry placement – which you’ve been preparing for over the past two years – aided by our network of industry contacts. This extensive training period allows you to learn within a professional context, giving you the opportunity to apply your knowledge and skills in the real world, as well as learning from those around you. Over 48 weeks you’ll gain experience and confidence, as well as a host of contacts – all essential in readying you for employment on graduation.In the final year, you’ll now be ready to demonstrate all that you’ve learned over the past three years by undertaking a substantial problem-solving individual project focused on a specific area of personal interest, or one that relates to your intended career. Students will explore computational problem solving with GP-GPUs and expand upon machine learning knowledge to analyse real datasets and control real-time systems. Cloud computing is examined to understand the deployment and performance of Internet services.
In your first year, you’ll engage with the foundations of computer science from programming to algorithms and mathematics. We’ve structured the curriculum to accurately reflect the industry and its many areas of specialisation. You’ll study programming techniques, database development, how to capture requirements and what happens inside a computing operating system. A hands-on course from the outset, you’ll benefit from a number of practical workshops as well as preparing for your third year work placement. In the second year, you’ll build on the knowledge you’ve already acquired, engaging with new subjects that will help you identify possible career paths. Students will explore artificial intelligence and machine learning. You will learn how to navigate different processor architectures with low level programming for IoT devices. An integrating project combines all the skills you have learnt so far, and allows you to undergo a full software lifecycle, starting with a concept and ending with a product. In the third year you’ll do your industry placement – which you’ve been preparing for over the past two years – aided by our network of industry contacts. This extensive training period allows you to learn within a professional context, giving you the opportunity to apply your knowledge and skills in the real world, as well as learning from those around you. Over 48 weeks you’ll gain experience and confidence, as well as a host of contacts – all essential in readying you for employment on graduation. In the final year, you’ll now be ready to demonstrate all that you’ve learned over the past three years by undertaking a substantial problem-solving individual project focused on a specific area of personal interest, or one that relates to your intended career. Students will explore computational problem solving with GP-GPUs and expand upon machine learning knowledge to analyse real datasets and control real-time systems. Cloud computing is examined to understand the deployment and performance of Internet services.
A local representative of University of Plymouth in Singapore is available online to assist you with enquiries about this course.