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- Computer Science (Artificial Intelligence)
Course options
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Qualification
Bachelor of Science (with Honours) - BSc (Hons)
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Location
Keele University
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Study mode
Full time
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Start date
JAN
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Duration
3 Years
Course summary
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 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.
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.
Pursuing a career in AI allows you to work with modern innovations and specialise in cutting-edge technology. You will graduate with a wide variety of subject specific and transferrable skills across many areas including problem solving, computational thinking, team working, project management, modelling and professional considerations.
The opportunities for graduates with computing skills are continuously growing. Many of our graduates move into employment that is directly computing-related, for example as systems analysts, software engineers and consultants. A number of graduates go on to study for higher degrees in a wide range of subject areas.
Jobs that a graduate of this programme may also pursue include
AI data analyst
Big data engineer
Software engineer
Research scientist
Data scientist
Foundation year
Studying a Foundation Year, for whatever reason, offers an alternative route to Keele, and provides a unique opportunity to better prepare for your chosen degree. That extra year of study can improve your academic skills, expand your subject knowledge and, perhaps most importantly, build your confidence.
Duration of s
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£ 17,700per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
Entry requirements
University information
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University League Table
68th
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Campus address
Keele University, Keele University, Keele, Staffordshire, ST5 5BG, United Kingdom
Subject rankings
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Subject ranking
64th out of 117 7
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Entry standards
/ Max 223114 51%91st
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Graduate prospects
/ Max 10081.0 81%61st
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Student satisfaction
/ Max 42.83 71%106th
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