International Programme of Statistical Science

The Natural Sciences BSc draws together elements of physics, mathematics, chemistry, astrophysics, Earth sciences, life sciences, and science and technology studies. The programme enables students who wish to maintain a breadth of science subjects to design a unique degree which is suited to their personal interests.

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 programme is divided into two main subjects or streams, which are chosen in the first year and followed for the duration of the programme. One will become your major stream, while the other will become your minor stream.

All students undertake a mathematics module and three foundation modules in the first year. Equal weighting is applied to the major and minor stream in the first and second years. During the final year of the BSc, the balance of study shifts towards your chosen major stream whilst you still continue with the minor stream.

A levels

Grades

A*AA-AAA

Subjects

Any two subjects from Biology, Chemistry, Geology, Mathematics or Physics.

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 two from Biology, Chemistry, Mathematics or Physics, with no score lower than 5.

The International Programme of Statistical Science at University College London offers various financing options to support students throughout their studies. The program generally benefits from the university's diverse financial support systems, including scholarships, grants, and bursaries aimed at both domestic and international students. Scholarships are awarded based on academic merit, potential contribution to the university community, or specific criteria set by funding bodies. For international students, UCL provides several prestigious scholarships such as the UCL Global Scholarships and the Reach Oxford Scholarship, which can significantly reduce tuition fees or provide financial stipends. Additionally, there are departmental bursaries specifically for students enrolled in the Statistical Science programme, helping to cover tuition expenses or living costs.

Students are encouraged to explore external funding opportunities from government agencies, international organizations, and private foundations that support study abroad and research initiatives in statistics and related fields. Many students also utilize teaching and research assistantships offered by the department, which provide a source of income in exchange for academic support work. UCL’s financial aid services offer guidance for applying to these opportunities and help students plan their finances effectively over the course of their studies.

The cost of the program includes tuition fees, which vary depending on the student's domicile (UK/EU or international), and additional living expenses in London. To help cover these costs, students can access student loans available through government schemes or private lenders, subject to eligibility criteria. It is important for prospective students to carefully review the specific financial requirements and available funding options on the official UCL website or contact the admissions office directly for tailored advice.

UCL also provides part-time work placement opportunities and internships that can help students gain practical experience while earning supplementary income. International students should consider visa regulations related to employment during their studies to ensure compliance. Overall, the university encourages applicants to plan their finances early and to seek a combination of scholarships, grants, and employment opportunities to support their academic pursuits in statistical science.

International Programme of Statistical Science at University College London offers a comprehensive and rigorous education in modern statistical methods and their applications across various disciplines. Designed for students who wish to develop a deep understanding of the theoretical foundations of statistics while gaining practical skills for data analysis in today’s data-driven world, the programme combines coursework in probability, statistical theory, computational statistics, and applied data analysis. Students are exposed to cutting-edge techniques in machine learning, data mining, Bayesian methods, and statistical programming, equipping them to tackle complex real-world problems in diverse fields such as economics, healthcare, engineering, social sciences, and computer science. The curriculum emphasizes both theoretical understanding and practical implementation, often involving projects, case studies, and collaborations with industry or research institutions. The programme is taught by leading experts in the field of statistics and data science, ensuring students receive high-quality instruction aligned with current industry and research standards. Students also have access to state-of-the-art computing resources and software, enabling them to develop their technical skills effectively. The programme aims to prepare graduates for careers in data analysis, research, industry, or for further postgraduate study, including master's or doctoral research. The university’s strong international reputation and extensive professional networks provide students with valuable opportunities for internships, networking, and career development. Overall, the International Programme of Statistical Science at UCL is ideal for students interested in pursuing advanced studies and careers in statistics and data science on an international scale.