Mathematics and Statistical Science

The BSc Mathematics and Statistical Science programme at University College London offers students an in-depth understanding of fundamental mathematical theories alongside practical skills in statistical analysis. Designed for those with a passion for problem-solving and quantitative reasoning, this degree provides a comprehensive curriculum that covers pure and applied mathematics, probability theory, statistical inference, computational methods, and data analysis. Throughout the course, students engage with a range of topics including algebra, calculus, mathematical modelling, computational mathematics, and advanced statistical techniques, equipping them with the mathematical literacy required in a diverse array of industries such as finance, data science, research, and technology.

The programme emphasizes both theoretical understanding and real-world application, encouraging students to develop critical thinking and analytical skills vital for tackling complex problems. During their studies, students have access to state-of-the-art laboratories and computing facilities, enabling hands-on experience with programming languages like R, Python, and MATLAB, as well as statistical software. The curriculum is designed to foster a solid foundation in mathematical reasoning while providing specialized options in areas like financial mathematics, actuarial science, and biostatistics.

Students benefit from UCL’s strong links with industry and academia, gaining opportunities for internships, collaborative projects, and seminars led by leading researchers. The degree also prepares students for postgraduate study or careers in data analysis, statistical consulting, research, finance, and technological innovation. Supportive academic staff and a vibrant student community ensure a stimulating environment for learning, collaboration, and personal development. Graduates of this programme emerge with a versatile skill set, capable of applying mathematical and statistical techniques to solve real-world problems across multiple disciplines, making them highly attractive in today’s data-driven economy.

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).

During the first two years as a fully enrolled University of Venice student at Ca' Foscari, you will take compulsory modules in history of art, Italian literature, linguistics and history. You will also be able to choose from a range of optional modules, allowing you to develop areas of personal interest. The majority of teaching will be in Italian.

During the last two years at UCL, you will have the opportunity to consolidate your learning by choosing from a vast range of modules available via the Italian and History of Art departments and the School of European Languages, Culture & Society (SELCS). These modules may include focuses on literature, history, linguistics, and film.

Your final dissertation will be supervised by both UCL and Ca' Foscari. You will have the benefit of resources available to students at both universities. 

You will be fully supported and supervised during your studies in Venice and London by a Director of Studies and through a tutor system. This structure is there to help you choose a coherent curriculum and enable you to get the most out of both locations.

A levels

Grades

AAB

Subjects

Italian required.

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, with no score lower than 5.

The Mathematics and Statistical Science programme at University College London offers a range of financing options to support students throughout their studies. Tuition fees vary depending on the student's domicile status, with UK and International students paying different amounts. For UK students, the annual tuition fee is approximately £9,250, while international students are charged around £20,180 per year. These fees cover access to lectures, seminars, tutorials, and essential learning resources.

In addition to tuition fees, students need to budget for living costs, which include accommodation, food, transportation, and personal expenses. UCL estimates that living costs for students typically range from £1,100 to £1,500 per month, depending on lifestyle and location. Accommodation could cost between £150 and £300 per week in university-managed housing or private rentals in London. Students are encouraged to seek part-time employment opportunities to support their finances during their studies, with some restrictions on working hours for international students.

Funding opportunities are available through various channels. Scholarships and bursaries are offered specifically for mathematics and statistical science students, especially those demonstrating academic excellence or financial need. UCL's scholarship portfolio includes the UCL Global Undergraduate Scholarship, which supports high-achieving students from around the world. There are also country-specific government grants and sponsorships that can be applied for by eligible students.

Student loans are accessible for UK residents through the Student Loans Company, which can cover tuition fees and provide maintenance loans for living costs. International students are generally advised to explore scholarships and private loan options, as UK student loans typically do not extend to non-UK residents.

Furthermore, students may consider external funding sources such as research grants, sponsorships from organizations, or family support. UCL also offers financial advice services to help students plan and manage their budgets effectively throughout their academic journey. Extra funding options, including competitive fellowships for postgraduate stages, are also available for eligible students progressing beyond undergraduate studies.

Overall, while studying Mathematics and Statistical Science at UCL involves financial commitments, numerous support options are provided to ensure that motivated students can finance their education and focus on their academic success.

The Bachelor of Science in Mathematics and Statistical Science at University College London (UCL) offers students a comprehensive and rigorous education in the foundational and advanced aspects of mathematics and statistics. This interdisciplinary program is designed to prepare graduates for careers in data analysis, finance, research, and academia, among other fields. The curriculum covers core topics such as pure mathematics, applied mathematics, probability theory, statistical inference, data analysis, and computational methods. Students will have the opportunity to develop strong analytical, problem-solving, and quantitative skills, complemented by practical experience through project work and placements.

The program typically spans three years for full-time students, with opportunities for optional placements and electives to tailor the degree to individual interests and career ambitions. Teaching methods include lectures, seminars, tutorials, and computer laboratory sessions, fostering both theoretical understanding and practical application. Assessment may involve exams, coursework, and projects, ensuring a well-rounded evaluation of student performance.

UCL's Department of Mathematics and the Department of Statistical Science collaborate to deliver this innovative program, leveraging their expertise and connections to industry and academia. The program emphasizes critical thinking, logical reasoning, and data literacy, reflecting the increasing importance of quantitative skills across diverse sectors. Students can also participate in research projects, internships, and seminars, gaining valuable real-world experience and professional networks.

Graduates of this program are well-equipped for various careers, including roles in finance, data science, actuarial work, policy analysis, or pursuing postgraduate studies. UCL's strong reputation and extensive alumni network support students throughout their education and after graduation. The program is continually updated to incorporate the latest developments in mathematics and statistics, ensuring graduates are prepared for the evolving demands of the global job market.