**Data Science is a fast-growing interdisciplinary field which combines statistics, machine learning, Artificial Intelligence and data analysis to extract insights from data.** This two-year course will introduce you to the fundamentals of Data Science and data analysis and give you practical experience working with industry-standard tools, systems and programming languages. Through problem-based learning, practical computer-based workshops and group activities, you will gain the skills and knowledge you need to succeed in industry.**What is a 'DipHE'?** A Diploma of Higher Education (DipHE) at Level 5 is awarded after two years of full-time study at university. Our DipHE programmes are hands-on and practical, with flexible learning options available so you can choose to study full or part time. You can take a DipHE straight from college when you have completed qualifications like BTECs or A-Levels. Some people choose to take a gap year first or spend some time working before they start a DipHE. Diplomas of Higher Education are perfect for people who want a university experience, but do not want to take a full undergraduate degree qualification. You get the support and teaching quality of a degree but don’t have to commit to three years of study before you begin. A DipHE can lead directly to a career as you will have gained valued skills and experience, or you might choose to continue with further studies. **Our new home for computing**In Autumn 2022, we opened our new £65 million hub for science, engineering and the environment - and our new home for computing. Sustainability-designed and 100% electric powered, the building offers unrivalled teaching, learning and research facilities and provides exciting new spaces for industry collaboration.You will:- Be studying at a university with longstanding links in Data Science, giving you maximum employment and placeholder opportunities- Broaden your understanding of data science, machine learning and AI, some of the most 'in demand' skills in the modern economy- Gain experience using programming languages such as Python and SQL- Learn through hands-on exercises, group activities and live industry briefs, and work with messy, real-world datasets in realistic, problem-based scenarios- Build the practical skills you need for a broad range of career paths within data science and data analysis- Develop your skills using a wide-range of industry-standard tools for data visualisation, statistical analysis and Big Data analytics
