This master's program brings together advanced, contemporary mathematics with a clear emphasis on real-world applications. Over the past two decades, many new mathematical methods have become essential in fields such as biology, medicine, the social sciences, materials science, manufacturing, artificial intelligence and big data. The programme responds to this shift by offering a curriculum that deliberately bridges mathematical theory and applied disciplines, preparing students to develop and analyse mathematical models that address practical problems.
Organised within the InterMaths Network, the programme benefits from the complementary strengths of its partner universities. It begins with a strong, modern methodological foundation in the first year, then lets students specialise in the second year by moving to a partner institution whose focus matches their interests. Students are enrolled simultaneously at both host universities and spend two years studying in at least two different countries, gaining exposure to varied research cultures and application areas.
Graduates leave with the mindset and tools of an applied mathematician plus the ability to collaborate effectively with experts from other fields. Depending on the chosen study path, alumni will be well prepared either to continue to doctoral research in applied mathematics or to pursue careers in business, industry or government where mathematical modelling and interdisciplinary communication are required.
Key facts and requirements
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This master’s programme expects applicants to hold a strong undergraduate degree in a quantitative discipline. Specifically, you should have completed a Bachelor’s (or equivalent) that corresponds to a First Class Honours level in subjects such as mathematics, physics, engineering, or other natural sciences. Admissions committees will look for solid mathematical training and evidence of competence in core mathematical topics—if your degree classification system differs from “First Class,” be prepared to supply transcripts and explanations so your academic standing can be fairly assessed.
All applicants must also show they have sufficient English language ability to follow an English-taught graduate programme. Acceptable evidence typically includes recognized test scores, a prior degree taught in English, or an official language certificate—check the programme’s detailed guidance for the specific proof and minimum levels required. International applicants should ensure documents are translated and certified where necessary and submit any supporting material requested to verify both academic equivalence and language competence.
Requirements (concise)
Winter Semester (International)
31 March 2026
Winter Semester (EU/EEA)
31 March 2026
Graduates are prepared to pursue doctoral studies in Applied Mathematics or to enter professional roles in industry, government and business. The programme trains candidates to develop mathematical models and to communicate with experts across sectors, which suits careers in data science, computational modelling, finance, engineering, biotechnology, AI and related applied-research positions.
Due to the interdisciplinary and international nature of the degree, alumni are also well placed for roles in R&D, consultancy, and policy-advisory positions where quantitative modelling and cross-disciplinary collaboration are required.