Mathematical Computation

The BSc Mathematical Computation at University College London offers an innovative and rigorous undergraduate education that combines advanced mathematical theory with practical computational skills. Designed for students with a strong interest in both pure and applied mathematics, this programme provides a comprehensive foundation in core mathematical disciplines such as analysis, algebra, probability, and discrete mathematics, alongside cutting-edge training in algorithm development, programming, and data analysis. Students will explore a wide range of topics, including numerical methods, mathematical modelling, machine learning, and algorithm design, preparing them for diverse careers in technology, finance, research, or further academic study.

The curriculum is structured to develop both conceptual understanding and technical expertise. In the first year, students build a solid base in essential mathematical principles while introducing programming concepts and computational techniques. As the programme progresses, students engage with specialised modules that delve into areas such as mathematical optimisation, computational algebra, cryptography, and data science. Emphasis is placed on hands-on experience and project work, enabling students to apply theoretical knowledge to real-world problems using modern computational tools and programming languages like Python, C++, and MATLAB.

Throughout the programme, students benefit from UCL’s strong links with industry and research centres, providing opportunities for internships, collaborative projects, and exposure to the latest developments in mathematical computation. The programme is supported by expert academics and industry professionals, fostering an engaging learning environment that promotes critical thinking, problem-solving, and innovative approaches. Graduates of this course are well-equipped for careers in software development, quantitative analysis, scientific research, and data analytics, or they can pursue postgraduate studies in specialized fields such as computational mathematics, data science, or artificial intelligence. With a curriculum that bridges the gap between mathematical theory and computational practice, the BSc Mathematical Computation at UCL prepares students to become leaders in the rapidly evolving digital 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).

The programme will cover a wide range of mathematical topics underpinning the analysis of computational systems including logic, discrete mathematics, information theory, probability and statistics. With this foundation, you will investigate methods for representing, manipulating and reasoning with the vast amounts of data and knowledge available to modern computers. The mathematical content is deeper and more substantial than in our other computer science programmes. Practical problem-solving will mesh with this deeper theoretical work, and you will also take part in regular reading groups and seminars solely for Mathematical Computation students.

Second-year students have one free optional module which may be taken in a subject outside the department. In the third and final years you may choose from a wide range of specialist options including game theory, artificial intelligence, graph theory, evolutionary computation, machine learning, dynamical systems and cryptography.

In the final year you will produce a dissertation in a subject of your choice.

A levels

Grades

A*AA

Subjects

Mathematics with A* required and Further Mathematics preferred.

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

39

Subjects

A total of 19 points in three higher level subjects including grade 7 in Mathematics, with no score below 5.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The University College London offers various funding options for students enrolled in the Mathematical Computation programme. Prospective students are encouraged to explore scholarships, bursaries, and financial aid opportunities available through the university’s dedicated funding pages. UCL provides numerous scholarships specifically aimed at supporting students in STEM disciplines, including the Faculty of Mathematical & Physical Sciences scholarships, which may cover tuition fees partially or in full for eligible students. Additionally, students can apply for government loans and grants, such as the Student Finance England support, which offers maintenance loans and tuition fee loans to eligible UK students. International students are advised to seek external funding sources and sponsorships, as UCL also offers some international scholarships and fee reductions for outstanding candidates. The university’s financial aid services assist students in understanding the application process, deadlines, and eligibility criteria for various funding schemes. Work-study opportunities, including tutoring or research assistant positions, are available to help students offset living and study costs while gaining valuable professional experience. It is important to note that the cost of studying at UCL includes tuition fees, which vary depending on residency status and curriculum specifics, along with living expenses in London. International students should consider additional costs such as visa fees and health insurance. UCL’s Financial Support Office provides comprehensive advice and assistance tailored to individual circumstances, ensuring that students can access the resources necessary to finance their education effectively. Overall, the university is committed to providing accessible education through diverse funding avenues, enabling talented students from various backgrounds to pursue their studies in Mathematical Computation without undue financial burden.

The BSc in Mathematical Computation at University College London offers an in-depth exploration of the theoretical and practical aspects of mathematics and computer science. This interdisciplinary program combines rigorous mathematical education with advanced computational techniques, preparing students for careers in data science, software development, cryptography, and research. The curriculum covers foundational topics such as pure and applied mathematics, algorithms, programming languages, and numerical methods, ensuring students develop strong analytical and problem-solving skills. Throughout the program, students have opportunities to work on research projects, collaborate with faculty on innovative initiatives, and engage with the latest developments in computational mathematics. UCL’s state-of-the-art facilities and emphasis on practical, hands-on experience enable students to apply their knowledge to real-world challenges. The program also offers specializations in areas like machine learning, artificial intelligence, and data analytics, reflecting current industry trends and research directions. Graduates of this degree are well-equipped for further study or employment in technology companies, finance, academia, and government agencies. The university fosters a vibrant academic community with numerous seminars, workshops, and networking events designed to enhance students’ learning and professional development. Additionally, the program encourages interdisciplinary collaboration, allowing students to explore applications of mathematical computation across various fields such as physics, engineering, biology, and social sciences. With a combination of theoretical rigor and practical application, the BSc in Mathematical Computation at UCL aims to produce highly skilled graduates capable of tackling complex problems in a rapidly evolving technological landscape.