Program Overview

Introduction to the Data Science BSc Program

The Data Science BSc program at University College London (UCL) provides a comprehensive training in the statistical basis of data science, along with a solid grounding in the computing skills and algorithmic reasoning necessary for modern data analysis.

Program Overview

This program is designed to provide students with a firm foundation in probability, statistics, and computer science. The first year is tailored to give all students a strong base in these subjects, while deepening the knowledge and understanding of those with some previous exposure to the subject areas. The second and third years build on this foundation through further compulsory modules on core topics in probability theory, statistical inference, and algorithms.

Entry Requirements

• A levels: Grades AAA, with A in Mathematics required. Further Mathematics is preferred. If studying both, the A* can be in either subject. Other preferred subjects include Chemistry, Economics, Physics, and Statistics.
• GCSEs: English Language and Mathematics at grade C or 4.
• IB Diploma: A total of 39 points, with 19 points in three higher-level subjects, including grade 7 in Mathematics. No higher-level score should be below 5.
• Contextual offer: A*BB for A levels, with specific requirements similar to the standard offer. For IB Diploma, 36 points with 17 points in three higher-level subjects, including grade 7 in Mathematics.
• Other UK qualifications: Access to HE Diploma, BTEC National Diploma, Cambridge Pre-U, Scottish Advanced Highers, and UAL Extended Diploma are considered with specific requirements for each.

Tuition Fees

• UK students: ｣9,790 for the 2026/27 academic year.
• International students: ｣42,700 for the 2026/27 academic year.

Program Structure

The program is full-time, lasting three academic years. It starts in September 2026, with an application deadline of January 14, 2026. The UCAS course code is G303.

Teaching and Learning

Teaching methods include lectures, small-group tutorials, problem classes, computer workshops, and e-learning. Students have regular 'drop-in hours' with lecturers for questions. Typical contact hours are between 12-16 hours per week, with 19-28 hours of independent study.

Assessment

Most modules are assessed primarily by examination, with some in-class tests, take-home papers, or coursework. A few modules are assessed exclusively by coursework, and many include group work. The final year includes a research project.

Accessibility

The department endeavors to make reasonable adjustments for students with disabilities. Details about accessibility and support can be found through UCL Student Support and Wellbeing Services.

Career Prospects

Graduates can proceed directly to posts as data scientists in industry, commerce, or government. The skills acquired can also be applied to founding or managing businesses related to data analytic services. Popular career choices include the financial sector, technology companies, actuarial or accountancy professions, data or business analysis roles, and jobs in industry and commerce.

Accreditation

The program is accredited by the Royal Statistical Society for students who first enroll between September 2023 and September 2028.

Funding Your Studies

Various funding options are available, including student loans, scholarships, and bursaries. UK students from lower-income households may be eligible for a non-repayable bursary or certain scholarships.