Mathematics and Statistical Science

The BSc Mathematics and Statistical Science program at University College London offers a comprehensive and rigorous curriculum designed to develop students’ analytical, quantitative, and problem-solving skills. This interdisciplinary course provides a solid foundation in pure and applied mathematics, complemented by advanced training in statistical methods and data analysis. Throughout the program, students explore a wide range of topics including calculus, linear algebra, probability theory, statistical modelling, and computational techniques, preparing them for diverse careers in finance, data science, research, and technology sectors. The program emphasizes both theoretical understanding and practical application, enabling students to tackle real-world problems using mathematical and statistical tools. With access to state-of-the-art laboratories and computing facilities, students gain hands-on experience through projects, coursework, and collaborations with industry partners. The curriculum is continuously updated to reflect the latest developments in mathematics and statistics, ensuring graduates are well-equipped for the evolving demands of the job market. Additionally, the program encourages critical thinking, communication skills, and independent research, fostering a holistic educational experience. Students benefit from the university’s vibrant academic community, expert faculty, and numerous opportunities for internships and study abroad schemes. Graduates of this program are highly sought after in many sectors, including finance, technology, government agencies, and academia, due to their strong quantitative and analytical expertise. Overall, the BSc Mathematics and Statistical Science at UCL offers a challenging yet rewarding educational pathway for aspiring mathematicians and statisticians aiming to make impactful contributions in their chosen fields.

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 first two years are essentially 'contextual', providing you with a broad overview and a methodological framework for your studies. Courses can be divided into the following broad areas:

• Language - discussion and essay, comprehension, translation, grammar
• Literature and literary theory - authors, themes, textual criticism
• Cultural Studies - interdisciplinary analysis, diverse forms of representation
• Film - history, theory and analysis of film
• History/politics - German and Austrian politics, and history and social and political theory
• Linguistics - linguistic theory, history of the language, sociolinguistics, political discourse

You may also take modules from SELCS, which will allow you to study literature, film, art and culture from outside your subject areas. This will enable you to focus on broad cultural movements, issues and approaches from an interdisciplinary perspective, drawing on the full range of specialisms within the school. 

You will spend your third year abroad in a German-speaking country: at a university, as an English language assistant within a school, or on an approved work placement. In your final year you will choose from a range of advanced options, allowing you to specialise in your own areas of interest. You will take half your modules in each discipline.

A levels

Grades

AAB

Subjects

History required, foreign language preferred.

GCSEs

English Language at grade B, plus 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

36

Subjects

A score of 17 points in three higher level subjects including History and preferably a foreign language, with no score lower than 5.

Financing for the Mathematics and Statistical Science program at University College London can be obtained through a variety of funding options available to both domestic and international students. These include university-specific scholarships, government grants, loans, and external funding opportunities. UCL offers several merit-based scholarships and bursaries for eligible students, which can significantly reduce the cost of tuition. For home students, funding might include maintenance loans and tuition fee loans provided by the UK government, which are repayable after graduation based on income levels. International students are encouraged to explore external scholarships such as Chevening or Commonwealth Scholarships, which support students from specific countries.

The university also provides information about part-time work opportunities on and around campus, enabling students to supplement their income during their studies. Additionally, students are advised to consider financial planning to cover living expenses, including accommodation, transportation, and study materials. UCL's financial aid services offer guidance on budgeting and debt management throughout the course. For students interested in research or specialized projects within the program, funding may be available through research grants or departmental sponsorships, subject to eligibility and application processes. International students should pay attention to visa requirements, which may include demonstrating sufficient funds to support their studies.

It is advisable to visit the official UCL Scholarships and Funding webpage regularly to get up-to-date information on available financial support, application deadlines, and eligibility criteria. Students are encouraged to apply early and to consider several funding options to ensure comprehensive financial coverage for the duration of their studies. Overall, while studying Mathematics and Statistical Science at UCL involves a significant financial investment, multiple resources and support systems are available to help students manage costs and focus on their academic pursuits.

The BSc Mathematics and Statistical Science program at University College London (UCL) offers students a comprehensive and rigorous education in both pure and applied mathematics, as well as statistical methods and their applications. The program is designed to provide a solid foundation in mathematical theories, computational techniques, and statistical analysis, preparing graduates for careers in data science, finance, research, or further academic study. Students have the opportunity to explore a broad range of topics, including pure mathematics, applied mathematics, probability, statistical inference, and data analysis. The curriculum combines lectures, seminars, and practical exercises, fostering both theoretical understanding and practical skills.

UCL's department ensures that students gain experience in programming languages, data manipulation, and visualization, which are essential skills in today's data-driven world. The program often includes optional modules allowing students to specialize or diversify their knowledge, such as financial mathematics, machine learning, or operations research. Emphasizing a collaborative learning environment, the course encourages teamwork, problem-solving, and independent research projects. Students benefit from UCL's location in central London, providing access to industry connections, internships, and research opportunities.

Graduates of this program often pursue careers in finance, data analysis, government agencies, technology companies, or continue their studies in postgraduate research or professional qualifications in statistics or mathematics. The program aims to produce graduates with strong quantitative skills, analytical thinking, and the ability to apply mathematical and statistical models to real-world problems. The coursework is regularly reviewed to ensure it remains aligned with current developments in mathematics, statistics, and data science. Overall, the BSc Mathematics and Statistical Science at UCL is a rigorous, versatile program that equips students with valuable skills for a wide range of professional fields or academic pursuits.