the United Kingdom
Keele University| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| BSc (Hons) | Full-time | 3 - 4 years | - | - | - |
Learn to apply advanced algorithms and analysis techniques to big data sets to make predictions, draw conclusions, and program the AI software of the future. Our research-focused Computer Science BSc combines a solid foundation in computing, mathematics, and programming with specialisation in advanced areas such as machine learning. From engaging with real-world challenges to spending time in industry, you will graduate with the practical, technical and logical reasoning skills sought by employers. Course overview Our research-focused programme provides a robust grounding in computational problem-solving, programming and mathematics to equip you with the skills needed for further study.
In later years you will build upon these foundational topics, in current and advanced areas of computer science, including data science, artificial intelligence, graphics and game development, digital forensics, and software engineering. By following the artificial intelligence pathway through the degree programme, you will have the opportunity to discover modern approaches to artificial intelligence including computational intelligence and nature-inspired algorithms. You will explore practical application of cutting-edge techniques on real-world problems and later spend time researching current research topics and writing a novel research proposal. The specialism includes study of artificial neural networks, evolutionary computation, as well as covering adaptive behaviour in natural systems from the perspective of computational neuroscience.
Throughout the programme, you'll engage with real-world scenarios to enhance your learning. You can spend time in industry with a year-long or modular placement, develop professional and employability skills, and pursue a personal interest in computer science by proposing a project that showcases your knowledge and skills. You can also personalise your degree, by choosing from a variety of optional modules. This gives you flexibility to explore new topics or deep dive into areas you are passionate about.
In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to an AI-related technical, software, research or business-related problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management. You will also deepen your understanding in AI by studying a pre-defined advanced module in Computational and Artificial Intelligence, whilst choosing optional modules in subjects that are aligned to your interests. Accredited by the British Computer Society - The Chartered Institute for IT Graduate with a named specialism on your degree to highlight your skills to employers Enhance your employability by learning to program in Python and Java Be career ready by gaining transferrable, professional and employability skills Access a wide range of equipment including supercomputer facilities and a VR lab For more details, please see the course page on the Keele website.
Contact Keele University to find course entry requirements.
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Consider a Foundation or Pathway course at Keele University to prepare for your chosen course:
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Find out more about studying in the United Kingdom
As an international student you may require a valid visa to study at Keele University. Read more about the requirements in our Guide to the United Kingdom International Student Visa Requirements.
