Applied and Computational Mathematics

Applied and Computational Mathematics at the University of Edinburgh offers a comprehensive and rigorous curriculum designed to develop students' expertise in mathematical modeling, computational techniques, and their applications across various scientific and engineering disciplines. This programme combines theoretical foundations with practical skills, preparing graduates to solve complex real-world problems using advanced mathematical and computational methods. Students will learn to formulate mathematical models, analyze data, and implement algorithms efficiently, enabling them to address challenges in areas such as finance, engineering, data science, and scientific research. The programme covers fundamental topics including linear algebra, differential equations, numerical analysis, optimization, and programming, while also offering specialization options in areas like scientific computing, data analysis, and mathematical finance. With access to state-of-the-art computing facilities and a strong emphasis on experiential learning, students are encouraged to collaborate on research projects, participate in internships, and engage with industry partners. The programme aims to develop not only technical proficiency but also critical thinking, problem-solving abilities, and effective communication skills to prepare students for diverse career paths or further academic study. Graduates of Applied and Computational Mathematics at Edinburgh are well-equipped to contribute significantly to technological advancements, data-driven decision making, and innovative research across multiple sectors. The curriculum is designed to adapt to the evolving demands of science and industry, ensuring that students emerge as versatile and highly skilled professionals in a competitive global job market.

Mathematics is a discipline of high intellect with connections stretching across all the scientific disciplines and beyond, and in Edinburgh you can be certain of thriving in a rich academic setting. Our School is one of the country’s largest mathematics research communities in its own right, but you will also benefit from Edinburgh’s high-level collaborations, both regional and international.

Research students will have a primary and secondary supervisor and the opportunity to network with a large and varied peer group. You will be carrying out your research in the company of eminent figures and be exposed to a steady stream of distinguished researchers from all over the world.

Our status as one of the most prestigious schools in the UK for mathematics attracts highly respected staff. Many of our 60 current academics are leaders in their fields and have been recognised with international awards.

Researchers are encouraged to travel and participate in conferences and seminars. You’ll also be in the right place in Edinburgh to meet distinguished researchers from all over the world who are attracted to conferences held at the School and the various collaborative centres based here. You’ll find opportunities for networking that could have far-reaching effects on your career in mathematics.

Having access to a broad community of researchers means that your work will be well distributed and recognised. As part of the Applied & Computational Mathematics group you will have access to the training activities provided by Mathematical Analysis & its Applications (MIGSAA).

Strong links also exist with life scientists, chiefly through SynthSys (Synthetic and Systems Biology Edinburgh), a multidisciplinary Edinburgh- based centre whose mission is the analysis and design of biochemical systems using theoretical, computational, and biological techniques.

• A UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK masters degree, or their international equivalents; or relevant qualifications and experience.​
• IELTS Academic: total 6.5 with at least 6.0 in each component
• TOEFL-iBT: total 92 with at least 20 in each section
• PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
• CAE and CPE: total 176 with at least 169 in each paper
• Trinity ISE: ISE II with distinctions in all four components

Scholarships

• School of Mathematics Studentships
• Research scholarships for international students
• Principal's Career Development PhD Scholarships

The Bachelor of Science in Applied and Computational Mathematics at the University of Edinburgh offers students a comprehensive education in the fundamental principles of mathematics, with a particular focus on applications and computational techniques. This programme is designed to develop students' analytical skills, problem-solving abilities, and understanding of mathematical models used in various scientific and engineering disciplines. Throughout the course, students explore topics such as linear algebra, differential equations, numerical analysis, and programming, equipping them with the tools necessary to tackle complex real-world problems. The curriculum emphasizes both theoretical understanding and practical application, including the use of computational software and programming languages like Python, MATLAB, and R. Students also have opportunities to engage in research projects, internships, and collaborations with industry partners, enhancing their employability and real-world experience. The programme prepares graduates for careers in data analysis, financial mathematics, software development, scientific research, and academia. The university’s strong links with industry and research institutes, along with dedicated teaching staff and state-of-the-art facilities, ensure a supportive learning environment. Students benefit from a flexible curriculum that allows specializations in areas such as data science, mathematical finance, or computational modelling. The programme typically lasts four years, with options for combined honours or joint degrees. Graduates of Applied and Computational Mathematics at Edinburgh are well-equipped to contribute to technological innovation and scientific advancement, making a positive impact across various sectors.