Mathematics and Statistical Sciencei

The BSc Mathematics and Statistical Science programme at University College London offers students a comprehensive and rigorous education in both pure and applied mathematics, along with a strong foundation in statistical methods and data analysis. Designed for those who are passionate about understanding complex mathematical concepts and applying them to real-world problems, this course combines theoretical knowledge with practical skills that are highly valued across numerous industries including finance, technology, research, and government agencies.

Throughout the programme, students will engage with a diverse range of modules covering calculus, algebra, analysis, probability theory, and statistical inference. The curriculum emphasizes not only mathematical proficiency but also critical thinking, problem-solving, and computational skills. Students have the opportunity to learn advanced techniques in data modelling, statistical computing, and data visualization, enabling them to interpret and communicate complex information effectively.

The programme is structured to promote both depth and breadth of knowledge. In the first year, foundational mathematical and statistical principles are introduced, providing essential skills for progression. As students advance, they can choose from a variety of optional modules that suit their interests and career goals, such as financial mathematics, machine learning, Bayesian statistics, or operational research. The curriculum also integrates practical experience through coursework, projects, and potentially internships, giving students a tangible understanding of how mathematics and statistics are applied in professional contexts.

UCL's strong links with industry and academia ensure students are engaged with the latest developments in the field. The programme includes computational skills development, with access to state-of-the-art software and programming languages like R, Python, and MATLAB. This combination of theoretical background and practical application prepares graduates to excel in roles that require quantitative analysis, data-driven decision-making, and complex problem solving.

Graduates from this programme are well-equipped for diverse career paths, including data analyst, financial analyst, research scientist, actuary, or roles in technological innovation and policy development. They may also choose to pursue further study at postgraduate level, such as master's or doctoral programmes in mathematics, statistics, data science, or related disciplines.

Overall, the BSc Mathematics and Statistical Science at UCL provides a solid academic foundation, combined with real-world skills and opportunities for professional growth, making it an excellent choice for ambitious students aspiring to excel in one of the most dynamic fields of study today.

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).

In the first and second years of the programme you will take a balanced selection of modules in both UCL Mathematics and UCL Statistical Science. You will take a selection of designated modules in the third year and undertake a major project in your fourth year, which will include a substantial piece of written work and a presentation. 
Statistics will include much practical work while the mathematics will cover the theoretical aspects of the pure mathematics required to sustain and understand this.

This programme is offered as a three-year BSc or a four-year MSci degree. The first two years of the programme are identical, and students are advised to apply for the MSci degree in the first instance, as it is possible to transfer to the BSc during the first three years.

A levels

Grades

A*A*A, or A*AA and a 1 in any STEP paper or distinction in Mathematics AEA

Subjects

Mathematics and Further Mathematics required at A*, or Mathematics at A* and Further Mathematics at A if STEP or AEA offered.

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

39-40

Subjects

A score of 20 points in three higher level subjects including 7 in Mathematics, or 19 points in three higher level subjects including 7 in Mathematics and a 1 in any STEP paper or a distinction in Mathematics AEA, with no score below 5.

The Mathematics and Statistical Science program at University College London offers a range of financing options to support students throughout their studies. Students enrolled in this program can access various funding opportunities, including government-supported loans, scholarships, and bursaries. The UK government provides student loans to eligible domestic students, covering tuition fees and contributing to living expenses. International students may explore scholarships offered directly by UCL or external funding bodies; these often require applying before arrival and are merit-based or need-based. UCL also has specific scholarships for students demonstrating academic excellence, financial need, or belonging to particular communities. Additionally, in partnership with external organizations, there are sponsored scholarships and awards tailored for international students. Students are encouraged to apply early and regularly check UCL's official scholarships webpage for updated opportunities and deadlines. Besides scholarships and loans, there are also part-time work arrangements available on or near campus, allowing students to earn while studying, thereby easing the financial burden. UCL's financial aid office provides comprehensive guidance on funding options, application procedures, and advice for managing finances effectively during university life. For postgraduate students, there may be specific grants or departmental scholarships designed to support advanced study in mathematics and statistics. It is advisable for prospective and current students to regularly consult UCL's official website and contact relevant departments or financial aid services for personalized assistance. Overall, UCL aims to make education accessible by offering diverse financing opportunities, enabling students to focus on their academic and research pursuits without undue financial stress.

The BSc Mathematics and Statistical Science at University College London is a rigorous and comprehensive undergraduate program designed to provide students with a strong foundation in both pure mathematics and applied statistics. The course aims to equip students with the analytical and problem-solving skills necessary to tackle complex mathematical challenges and interpret statistical data across various fields. The curriculum offers a broad spectrum of modules, including classical topics such as calculus, algebra, and analysis, as well as contemporary subjects like data analysis, probability theory, and computational methods. Students have the opportunity to engage in both theoretical research and practical applications, preparing them for careers in data science, finance, research, and academia. The program encourages the development of numerical and programming skills through project work and laboratory sessions. Students are also exposed to real-world data sets and scenarios, fostering an understanding of how statistical models are used to inform decision-making. The degree typically includes optional modules, allowing students to tailor their studies according to their interests, whether leaning more toward pure mathematics, applied statistics, or interdisciplinary approaches. The department promotes a collaborative learning environment, with access to cutting-edge facilities and a strong support network of academic staff. Graduates of the program are well-prepared for advanced study or roles in industry that demand high levels of quantitative competence and analytical reasoning. The program duration is typically three years for full-time students, with options for industrial placements or study abroad in some cases. Admission requirements generally include strong academic performance in mathematics and related subjects at the secondary level. Overall, the BSc Mathematics and Statistical Science at UCL is recognized for its academic excellence and its contribution to developing skilled professionals capable of addressing complex quantitative problems in diverse sectors.