Statistics Economics and Finance

The BSc in Statistics, Economics and Finance at University College London is a comprehensive undergraduate degree designed to equip students with a solid foundation in the core disciplines of statistics, economics, and finance. This interdisciplinary program combines rigorous quantitative training with a thorough understanding of economic and financial principles, preparing graduates for diverse careers in finance, consultancy, government, and research sectors. Throughout the course, students develop advanced analytical skills, including statistical modeling, econometric analysis, and financial mathematics, enabling them to interpret complex data sets and make informed decisions. The curriculum emphasizes both theoretical understanding and practical application, with modules that cover microeconomics, macroeconomics, financial markets, quantitative methods, and econometrics, alongside optional units allowing for specialization in areas such as banking, investment, or economic policy. Taught by leading academics and industry experts, the program offers a dynamic learning environment that fosters critical thinking, problem-solving, and innovative approaches to real-world challenges. Students benefit from state-of-the-art facilities, access to extensive data resources, and opportunities for internships and placements to enhance their employability. The program culminates in a dissertation where students demonstrate their ability to conduct independent research, applying their knowledge and skills to current issues in economics and finance. Graduates of this program are well-prepared to pursue postgraduate studies or enter the professional workforce, equipped with quantitative prowess, economic insight, and financial acuity that are highly valued across various sectors globally.

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).

The statistics courses are drawn from the Statistics BSc degree. Your first year will include mathematics, statistics and some computing, which will be followed by increasing specialisation in statistics in the second and third years. The economics and finance components include a foundation in micro- and macroeconomics and financial accounting, and a range of options including modules in Money and Banking, Financial Computing, Econometrics and Economics of Finance.

A levels

Grades

A*AA-AAA

Subjects

A* in Mathematics or AA in Mathematics and Further Mathematics required.

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.

Funding for the Statistics, Economics and Finance program at University College London is available through various sources to support eligible students. Tuition fees vary depending on the student's domicile status, with UK and international students facing different rates. UCL offers scholarships and bursaries specifically designed to assist students in financing their studies, including the UCL Graduate Support Scheme, which provides financial aid based on merit and need. Additionally, students can explore external funding opportunities such as government-sponsored loans, scholarships from charitable organizations, and industry-sponsored awards. The university also offers payment plans to spread the cost of tuition over manageable installments, easing financial burden. Work opportunities during studies, including part-time roles on campus or internships related to the field of study, may provide supplementary income. Financial support is also available for students demonstrating exceptional academic achievement or financial hardship. The program's cost is complemented by the potential for career prospects post-graduation, which can enhance long-term earning potential and financial stability. UCL's dedicated student finance team provides guidance on application procedures, eligibility criteria, and the best options for funding assistance. Overall, students enrolled in the Statistics, Economics and Finance program have access to a comprehensive range of financial resources designed to facilitate their academic journey and reduce financial barriers to higher education.

The BSc Economics, Mathematics and Statistics programme at University College London is designed to provide students with a comprehensive understanding of economic principles, mathematical techniques, and statistical methods. This interdisciplinary course aims to equip students with the analytical skills necessary to interpret complex data and make informed decisions in economic contexts. Throughout the program, students explore core topics such as microeconomics, macroeconomics, quantitative methods, and applied statistics, fostering a critical understanding of economic theories and their practical applications.

The curriculum emphasizes quantitative reasoning, combining rigorous mathematical training with economic analysis, thereby preparing students for careers in finance, consulting, policy analysis, and academic research. Students have the opportunity to develop skills in data analysis, econometrics, and computational methods, which are highly valued in the modern economic landscape. The programme also encourages the development of transferable skills, including critical thinking, problem-solving, and effective communication.

Students benefit from UCL’s strong links with industry and academia, gaining access to a vibrant academic community and various networking opportunities. The programme may include options for specializations or electives, enabling students to tailor their learning to their interests and career goals. Teaching is delivered through lectures, seminars, and workshops, supported by state-of-the-art resources and computer labs for practical exercises.

Graduates of this programme have gone on to successful careers in financial services, government agencies, international organizations, and academia. The comprehensive training in economic theory, mathematical modeling, and statistical analysis ensures that graduates are well-prepared to adapt to various roles involving data-driven decision-making. The programme aims to produce graduates who are not only knowledgeable but also capable of applying their skills to real-world economic challenges, fostering a deeper understanding of the complex global economy.