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Statistics and Management for Business at University College London offers a comprehensive programme designed to equip students with essential skills in data analysis, statistical methods, and management principles tailored for the business environment. This interdisciplinary course combines rigorous training in quantitative techniques with strategic management insights, preparing graduates to excel in data-driven decision-making roles across various industries. Throughout the programme, students will learn how to collect, analyze, and interpret complex data sets, apply statistical models to solve real-world business problems, and develop management strategies based on data insights. The curriculum encompasses modules on probability theory, statistical inference, data visualization, business analytics, financial management, marketing analysis, and organizational behavior. Emphasizing practical application, the programme integrates case studies, software training, and project work to develop analytical thinking and problem-solving abilities. Students also gain a solid understanding of the ethical considerations and legal frameworks surrounding data use in business contexts. The programme aims to foster critical thinking, quantitative proficiency, and leadership skills essential for careers in data analysis, consultancy, finance, marketing, and management roles. Graduates will be well-prepared to pursue further research or to enter the workforce as data-savvy managers and analysts, contributing to the strategic growth of organizations. The programme’s structure offers flexibility with optional modules and opportunities for internships, providing a rounded educational experience that aligns with current industry demands. With UCL’s strong connections to industry and academia, students will benefit from expert faculty, cutting-edge research, and access to professional networks, ensuring a thorough preparation for the competitive global job market.
In each year of your degree you will take a number of individual modules, normally valued at 0.5 or 1.0 credits, adding up to a total of 4.0 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 1.0 credit is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
This is a joint degree programme taught by UCL Statistical Science and the UCL School of Management.
You will take roughly half your modules in statistics and mathematics; the other half will consist of modules in management, accountancy, finance and (optionally) economics. While the first and second years provide a solid foundation in statistics, mathematics and management, a wide range of options is available in the third year, allowing you to give more weight to either the statistics or the business component.
A levels
Grades
A*AA-AAA/A*AB
Subjects
A* in Mathematics, or AA in Mathematics and Further Mathematics, is required. Applicants offering A*AB including A*A in Mathematics and Further Mathematics respectively will also be considered.
GCSEs
English Language and Mathematics at grade C. For UK-based students, a grade C or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required. UCL provides opportunities to meet the foreign language requirement following enrolment, further details at: www.ucl.ac.uk/ug-reqs
IB Diploma
Points
38-39
Subjects
A score of 18-19 points in three higher level subjects including grade 7 in Mathematics, with no score lower than 5.
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.