Data Science with Foundation Year BSc (Hons)

<strong>Foundation Year</strong><br/>Our Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year. This extra year of study can improve your academic skills, expand your subject knowledge, give you a better understanding of higher education and, perhaps most importantly of all, build your confidence. On the Keele Foundation Year, youll study on campus, joining our undergraduate community from the outset, with access to all the facilities and support that youd get as an undergraduate student at Keele.<br/><br/><strong>International Students</strong><br/><br/>For International Students, Foundation Years are delivered through our dedicated on-campus provider, Keele University International College. Applications for International Foundation Years are also handled by KUIC; please do not apply via UCAS as the University will not be able to process your application and you may still be charged the UCAS application fee. To find out more and to apply for an International Foundation Year, visit https://kuic.keele.ac.uk/<br/><br/><strong>Data Science</strong> <br/><br/>With the increasing reliance on data-driven decision making across industries, data scientists are in high demand. Our industry-informed BSc blends theoretical foundations and practical experience with dedicated professional and employability modules to equip you with the statistical knowledge, technical,<br/>problem-solving, computational and communication skills to implement an ethical approach to analysing real-world data.<br/><br/><strong>Why choose this course?</strong> <br/><br/><br/>• Tailor your degree to your career aspirations by choosing from optional modules including cybersecurity, cryptography and medical statistics<br/><br/><br/><br/>• Enhance your employability by learning to code in Python and R<br/><br/><br/><br/>• Visualise data to tell compelling and actionable stories<br/><br/><br/><br/>• Be career ready by gaining transferrable, professional and employability skills<br/><br/><br/><br/>• Access a wide range of equipment including supercomputer facilities and a VR lab<br/><br/><br/><br/>Data Science at Keele offers a unique combination of robust mathematical and computational skills, including statistical techniques and extensive application of AI and machine learning, essential for success in the rapidly growing field of Data Science. You will start your degree by exploring the theoretical underpinnings of the data science discipline, providing a solid foundation in mathematics, statistics and programming, along with a strong emphasis on the practical skills of a data analyst.<br/><br/>This practical focus will become even more pronounced as you progress through the programme, studying various aspects of AI and machine learning, ethical handling of data, as well as developing presentation, communication and visualisation skills. Building on foundational topics, you will explore current and emerging areas in the field, including data science techniques, probability, artificial intelligence, database systems, applied deep learning and visualisation for data science.<br/><br/><strong>About Keele</strong> <br/><br/>Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university. <br/><br/>We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level. <br/><br/>Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.