Statistics

The BSc Statistics at University College London offers a comprehensive and rigorous education in the fundamental principles and practical applications of statistics. This programme is designed to equip students with the analytical skills necessary to interpret complex data, develop statistical models, and make informed decisions across various sectors such as finance, healthcare, government, and industry. The curriculum covers a wide range of topics, including probability theory, statistical inference, data analysis, and computational techniques. Students will gain hands-on experience with modern statistical software and programming languages, enabling them to manage and analyze real-world data sets effectively. The programme emphasizes both theoretical foundations and practical skills, preparing graduates for careers in data science, research, consultancy, and beyond. Through a combination of lectures, seminars, and project work, students will develop critical thinking and problem-solving abilities, as well as communication skills to present data-driven insights clearly and convincingly. The programme also offers opportunities for specializations and elective modules, allowing students to tailor their studies to specific interests such as applied statistics, biostatistics, or financial statistics. Collaboration with industry partners and participation in research projects enhance the learning experience, providing valuable exposure to current challenges and innovations in the field. With a strong focus on quantitative methods and statistical reasoning, the BSc Statistics at UCL prepares graduates for successful careers in academia, industry, or further postgraduate study. The university’s strategic location in London offers vibrant opportunities for networking and professional development, making this programme an excellent choice for students aspiring to make a significant impact through data and statistics.

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 course of your degree, theoretical studies are balanced with developing practical skills, including the use of specialist software. In your first year, you will study mathematics, statistics and some computing, which will prepare you for increased specialistion in statistics in years two and three.

Over the whole three years, theoretical studies are balanced with an emphasis on practical work (including the use of computers) and realistic illustration of theoretical concepts.

In the final year, there is considerable flexibility to bias your programme towards either the more mathematical or applied aspects of the subject. In particular, about one-quarter of your work will be on a project involving extensive research supervised by a member of staff within the Department of Statistical Science. Previous projects include the analysis of rainfall patterns in southern Africa, an analysis of data from a clinical trial and an analysis of volatility in financial markets.

This programme is accredited by the Royal Statistical Society and provides a broad, thorough and intellectually challenging training in the theory and practice of statistical science. Skills in statistics are valued by a variety of employers and can be applied to various problems in science, medicine, technology, finance and economics.

Key information

Programme starts

September 2018

UCAS code

G300

Duration

Full-time: 3 years

Application deadline

15 January 2018

Location

London, Bloomsbury

Accreditation

Royal Statistical Society (See Degree benefits)

Applications per place

9 (2016 entry)*

Total intake

115 (2018 entry)*

* Figures relate to Statistical Sciencesubject area

Entry requirements

A levels

Grades

A*AA-AAA/A*AB

Subjects

A* in Mathematics, or AA in Mathematics and Further Mathematics, is required. Applicants offering A*AB including A*A in Mathematics and Further Mathematics respectively will also be considered.

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 Financing studies of the Statistics programme at University College London are designed to provide students with comprehensive financial information to support their decision-making process. Tuition fees for this programme vary depending on the student's residency status. For UK students, the annual tuition fee is approximately £9,250. International students can expect higher fees, typically around £23,100 per year. These fees cover access to university facilities, resources, and academic support throughout the duration of the course, which commonly lasts one year for full-time students and up to two years for part-time students.

In addition to tuition, students should consider living expenses, which at UCL are estimated to be around £1,200 to £1,500 per month, depending on lifestyle and accommodation choices. UCL offers various financial aid options, including scholarships, bursaries, and grants. These are awarded based on academic merit, financial need, or specific criteria related to the student's background or country of origin. International students are encouraged to explore the international scholarship schemes available through UCL and external funding bodies.

Students can also apply for government-backed loans or financial support schemes, depending on their country of residence. UCL provides detailed guidance on the application procedures for these funding options. Additionally, some students may consider part-time work opportunities available on or near campus to supplement their income. The university’s career services provide assistance in finding suitable employment, internship opportunities, and practical training during the study period.

The programme's financing information is periodically updated, and prospective students are advised to consult the official UCL website or contact the admissions office for the most current details. Planning finances beforehand is recommended to ensure a smooth academic experience without financial stress. Overall, UCL's financing options and guidance aim to make high-quality education in Statistics accessible and achievable for a diverse student body.

The BSc Geography with Statistics at University College London offers students a comprehensive interdisciplinary education that integrates the core principles of physical and human geography with advanced statistical methods. This program is designed to equip students with a robust understanding of spatial analysis, geospatial data handling, and quantitative research techniques, all within the context of pressing environmental and societal challenges. Throughout the course, students explore diverse topics such as climate change, urbanization, environmental management, and socio-economic development, employing rigorous statistical tools to analyze real-world data. The program emphasizes practical skills in data collection, statistical modeling, Geographic Information Systems (GIS), and programming languages like R and Python, enabling students to conduct sophisticated spatial and temporal data analysis. Students also have access to state-of-the-art laboratories, GIS suites, and extensive datasets, fostering a hands-on learning environment. The curriculum is structured to combine theoretical foundations with applied projects, often in collaboration with external organizations, government agencies, and research institutes. This prepares graduates for careers in environmental consultancy, urban planning, data analysis, government policy-making, and academia. The program offers various pathways and specializations in the final years, allowing students to focus on areas such as environmental statistics, urban and regional analysis, or conservation science. Throughout their studies, students develop critical thinking, problem-solving, and independent research skills, vital for addressing complex spatial issues. The university’s central London location provides numerous opportunities for internships, field trips, and engagement with professional networks, enhancing employment prospects after graduation. The program’s assessment methods include coursework, data analysis projects, presentations, and exams, designed to evaluate both theoretical understanding and practical abilities. Overall, the BSc Geography with Statistics at UCL prepares students to become innovative spatial scientists capable of tackling global challenges through data-driven solutions.