Businesses today generate vast amounts of data. This program equips you with the skills to transform that data into actionable insights, innovative products, and effective strategies. You'll combine analytical techniques with management principles, making you highly sought after in the current job market. The course is designed for students from various backgrounds, even those without prior analytics experience. You will learn from experts in business analytics, operations management, and data-driven decision-making, enabling you to contribute confidently to organizations from day one. The curriculum is updated frequently to incorporate the latest tools and techniques, including Python, Simul8, and AI. Learning involves a mix of online and in-class activities, with practical application through live data analysis, group projects, and collaborations with industry and public sector organizations. You will also engage with Kent's research community, contributing to advancements in data intelligence, predictive analysis, and ethical AI.
You will develop a deep understanding of predictive, prescriptive, and descriptive analytics and learn how to apply data to inform real-world business decisions. The program also covers core business areas such as HRM, accounting, and leadership to prepare you for diverse career paths.
The course welcomes students from a range of backgrounds, including those without prior analytics experience. Foundation Year and Year Abroad/Industry options are also available.
Fees are for the 2026 intake. Please check the university website for the most up-to-date fee information.
AACSB, AMBA, and EQUIS (Triple Crown)
The tuition fee for international students for the 2026 intake is £20,700 per year. Please check the university website for the most up-to-date fee information.
The academic entry requirement is ABB or 112-128 UCAS points at A-Level. The course welcomes students from various backgrounds, including those without prior analytics experience.
International students can apply through the UCAS system before the main deadline, which is typically in January for September entry. The university also offers Priority Clearing in August following A-Level results.
This program prepares you for roles that require data analysis and strategic decision-making within businesses, equipping you with skills sought after in today's data-driven economy.
Learning involves a mix of online and in-class activities, including practical application through live data analysis, group projects, and collaborations with industry and public sector organizations.