BSc (Hons) Data Science with Applied Business Informatics
Set in 600 acres of countryside in North Staffordshire, we have one of the largest and most beautiful campuses in Britain. We’re proud to be No.2 in England for Student Satisfaction with Course (Guardian University League Table, 2020), investing more than £140m in our campus in the last ten years, including £45m new science laboratories. In 2021 we were proud to be awarded Sustainability Institution of the Year at the prestigious Green Gown Awards as part of our mission to become a carbon neutral campus by 2030. We're committed to supporting you to achieve your career goals, and have a dedicated Careers and Employability team who can assist you to navigate your options beyond Keele.Finance, accounting and international business operate in a fully connected world, which is said to be drowning in data, yet starving for information. This programme will give you the theoretical tools and the practical skills to process such data and apply appropriate techniques to extract meaningful information. This will create a new value chain, enabling businesses to gain insight from their data and improve their processes.Our programme is designed as a balanced blend of mathematics, statistics and computer science, tailored to understand the business context of AI and data science applications. You will study fundamental statistical techniques alongside modern software development methods applicable in areas of business such as finance and econometrics. You will also explore the ethical, psychological and social aspects of such applications.In our computing laboratories, you will have the opportunity to apply your learning immediately using authentic datasets. You will undertake significant hands-on projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data and statistical modelling. You will explore a range of advanced technical topics which may include game theory, or international finance, as well as academic research, and practical problem-solving in order to become a skilled professional able to manage data complexity in a field in high demand, both in industry and research.Between years two and three of your studies, you will also have the opportunity to apply for placement year, or year abroad to broaden your experience.
Set in 600 acres of countryside in North Staffordshire, we have one of the largest and most beautiful campuses in Britain. We’re proud to be No.2 in England for Student Satisfaction with Course (Guardian University League Table, 2020), investing more than £140m in our campus in the last ten years, including £45m new science laboratories. In 2021 we were proud to be awarded Sustainability Institution of the Year at the prestigious Green Gown Awards as part of our mission to become a carbon neutral campus by 2030. We're committed to supporting you to achieve your career goals, and have a dedicated Careers and Employability team who can assist you to navigate your options beyond Keele.Finance, accounting and international business operate in a fully connected world, which is said to be drowning in data, yet starving for information. This programme will give you the theoretical tools and the practical skills to process such data and apply appropriate techniques to extract meaningful information. This will create a new value chain, enabling businesses to gain insight from their data and improve their processes.Our programme is designed as a balanced blend of mathematics, statistics and computer science, tailored to understand the business context of AI and data science applications. You will study fundamental statistical techniques alongside modern software development methods applicable in areas of business such as finance and econometrics. You will also explore the ethical, psychological and social aspects of such applications.In our computing laboratories, you will have the opportunity to apply your learning immediately using authentic datasets. You will undertake significant hands-on projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data and statistical modelling. You will explore a range of advanced technical topics which may include game theory, or international finance, as well as academic research, and practical problem-solving in order to become a skilled professional able to manage data complexity in a field in high demand, both in industry and research.Between years two and three of your studies, you will also have the opportunity to apply for placement year, or year abroad to broaden your experience.
