Applied Mathematics University of Lincoln

Overview

The MSc by Research in Applied Mathematics at the University of Lincoln is a distinctive programme that allows students to engage in significant independent research. The university's School of Engineering and Physical Sciences is equipped with specialist computational facilities and offers comprehensive training programmes aimed at enhancing research skills. Students receive dedicated support from experienced academic supervisors throughout their research journey.

Why Applied Mathematics at University of Lincoln?

The University of Lincoln is known for its strong research output and partnerships with leading institutions worldwide, including collaborations in Germany, Japan, Norway, the Netherlands, Singapore, Spain, and the USA. The university's commitment to research excellence is reflected in its state-of-the-art facilities and the expertise of its academic staff, making it an ideal environment for postgraduate studies.

Tuition Fee Breakdown

The tuition fees for the MSc by Research in Applied Mathematics are as follows:

• National Students: £4,830 per year
• International Students: £17,700 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme's research focuses on two primary strands: computational physics/applied mathematics and pure mathematics. Key areas of research include:

• Development of numerical methods and algorithms for solving equations in materials science, particularly in nanomaterials.
• Advanced parallelisation and adaptation of methods for modern supercomputers.

Students are encouraged to produce a research proposal as part of their application, outlining their intended research topics and a brief bibliography of relevant literature.

Careers with Applied Mathematics

Graduates from the MSc by Research in Applied Mathematics can pursue various career paths in academia or industry. Alumni have found positions in research institutions, technology companies, and sectors focused on data analysis, computational modelling, and scientific research. The skills developed during this programme equip graduates to tackle complex problems and contribute to advancements in their fields.