International Programme of Statistical Sciencei

The International Programme of Statistical Science at University College London offers a comprehensive and rigorous education in the fundamental principles and advanced methodologies of statistics. Designed for students with a strong interest in data analysis, probability, and computational techniques, this programme prepares graduates to excel in a variety of fields including data science, research, finance, industry, and government. The curriculum combines theoretical foundations with practical applications, ensuring students develop both the analytical skills and the computational proficiency necessary to interpret complex data sets and inform decision-making processes.

Students will engage with a broad range of subjects such as probability theory, statistical inference, regression analysis, multivariate methods, time series analysis, and machine learning. The programme emphasizes the importance of reproducible research, statistical programming, and data visualization, equipping students with the tools to handle large-scale and high-dimensional data. In addition to coursework, students have opportunities to participate in research projects, internships, and collaborative work with industry partners, fostering a strong connection between academic knowledge and real-world applications.

The programme is delivered by experienced faculty members renowned for their research contributions and expertise in statistical science. Instruction combines lectures, seminars, workshops, and hands-on computer labs, ensuring an engaging and interactive learning environment. Students are encouraged to develop critical thinking and problem-solving abilities while gaining exposure to the latest developments in statistical science and data analysis techniques.

Graduates of the International Programme of Statistical Science are well-prepared for careers in academia, industry, or advanced research. Many alumni have gone on to pursue PhDs or to hold positions in data analytics, consulting, finance, healthcare, and technology sectors. The programme also provides a solid foundation for those interested in further study or professional certification in statistics and related disciplines. Overall, this programme aims to cultivate highly skilled, innovative, and adaptable statisticians ready to address the evolving data challenges of the modern world.

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 this four-year programme, you will spend the first two years at UCL following either the structure of the Statistics BSc, the Statistics, Economics and Finance (SEF) BSc, the Statistics, Economics and a Language (SEL) BSc or the Mathematics and Statistical Science BSc (the latter choice is only possible if your qualifications meet the entry requirements for the Mathematics and Statistical Science BSc as well as those for the Statistical Science (International Programme)).

The third year is spent at a leading university abroad. Currently, study in Bologna, Munich, Perth, Purdue, Singapore, Toronto and UCLA is available. The fourth year is spent at UCL and consists of advanced modules and project work allowing you to deepen your understanding of the subject.

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.

The International Programme of Statistical Science at University College London offers a range of financing options to support students throughout their studies. Tuition fees vary depending on the student's residence status, with UK and EU students typically paying lower fees compared to international students. For the academic year 2023/2024, the approximate tuition fee for international students enrolling in this programme is around £24,000 per year, while UK students pay approximately £9,250 annually. These fees are subject to annual increases and may vary for subsequent years of study.

Students are encouraged to explore various funding sources, including scholarships, grants, and bursaries available through UCL and external organizations. UCL offers a number of merit-based scholarships for international students, which can significantly reduce the financial burden. For example, some scholarships are awarded based on academic excellence, leadership qualities, or socioeconomic background. Prospective students should consult the university’s official scholarships webpage for detailed eligibility criteria and application procedures.

In addition to academic scholarships, students may consider government loans and funding opportunities provided by their home countries. Many countries offer student loan schemes or financial support programs for students undertaking overseas study. It is advisable to contact the relevant educational authorities within one's country for specific information on available funding options.

Aside from financial aid, students often seek part-time employment opportunities both on and off campus to supplement their income. UCL provides support through its career services center, which offers guidance on part-time work permissions, job search strategies, and CV building. International students are generally allowed to work a limited number of hours during term time, subject to visa restrictions.

Furthermore, the programme’s cost of living plays an important role in students’ overall financing plans. London, being a major financial and cultural hub, has a high cost of living. Students should budget for expenses such as accommodation, food, transportation, insurance, and personal expenses. UCL provides an estimated cost of living guideline, which is approximately £1,200–£1,500 per month, depending on lifestyle choices.

Students are advised to start their financial planning early and to apply for funding well before the programme commences. The university’s financial aid office offers personalized advice and assistance to prospective and current students. It is important to check the official UCL website regularly for updates on tuition fees, scholarship opportunities, and any changes in funding policies related to the International Programme of Statistical Science.

The International Programme of Statistical Science at University College London (UCL) is a comprehensive undergraduate degree designed to prepare students for careers in statistics, data analysis, and related fields. This program aims to equip students with a strong foundation in statistical theory, computational methods, and practical applications, preparing them to tackle real-world data challenges across various industries such as finance, healthcare, government, and technology. The curriculum combines rigorous coursework with practical experience, often involving collaborations with industry partners and internships to enhance employability. Students study core subjects including probability theory, statistical inference, regression analysis, multivariate statistics, and computational statistics, alongside modules on data management, programming languages like R and Python, and specialized topics such as Bayesian methods and machine learning.

The program emphasizes a balance between theoretical understanding and applied skills, fostering analytical thinking and problem-solving abilities. As an international program, it attracts students from all over the world, promoting a diverse learning environment. UCL’s strong links with industry provide pathways for internships and research opportunities, which are critical for gaining practical insights and building professional networks. Graduates of the program are well-prepared for roles in data science, analytics, research, and academia, with many pursuing further postgraduate study or entering the workforce directly. The teaching staff includes leading experts in statistics and data science, ensuring that the program stays at the forefront of developments in the discipline. The assessment methods typically include coursework, exams, project work, and presentations, reflecting both individual and collaborative skills development. Overall, the International Programme of Statistical Science at UCL offers a rigorous and dynamic education in data analysis, preparing students to meet the increasing global demand for skilled statisticians and data scientists.