BSc (Hons) Data Science

Solve the challenges facing our data-driven world. This course aims to produce multi-skilled, highly competent graduates who are equipped to make significant contributions to their career field and who understand the implications of their work, both for themselves and for society as a whole.The course has three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It's the combination of these three areas that make graduates attractive to employers, enabling an immediate contribution when moving into employment.You'll be provided with a solid foundation in the principles and practices of data science, including relevant computer science components such as coding and machine learning, and mathematical areas such as probability, statistics and calculus. Key aspects of modern data science are covered, from the theoretical building blocks of linear algebra and algorithmics, to real-world implementations and discussion of the wider impacts that data science has on society.You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. You'll learn how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. Study culminates in a focused research project in the field of data science which develops the skills to contribute professionally to solving complex commercial and industrial engineering problems.This course is also available as a four-year integrated masters (MEng). Both the BSc and MEng variants of this course are also offered with an additional year in industry. Data Science (MSci)Data Science (with a year in industry) (BSc)Data Science (with a year in industry (MSci)Learning outcomes for this courseApply computational, mathematical and statistical theory to solve data science problems, using skills in problem analysis, representation, abstraction, programming and software engineering.Critically analyse statements, arguments or conjectures that underpin the theory of mathematics, statistics and computer science and justify the principles chosen for such critiques.Develop computational and mathematical techniques for critical analysis, mining, and management of data to learn and discover meaningful patterns and knowledge beneficial for real world applications.Communicate complex ideas in computational and mathematical data science and the discovered knowledge in a clear and organised manner, at a level appropriate for the intended recipients and present an effective summary of these ideas.Adapt to new and unfamiliar challenges in computational and mathematical data science, recognising appropriate ideas and approaches drawn from a range of technologies, languages, paradigms, models and mathematical theories.Apply computational and mathematical data science skills to practical problems and real-world datasets collected in collaboration with industrial partners, in a safe, ethical, and secure way.