
This Master's specialisation in Algebra, Geometry and Number Theory delves into the fundamental structures of pure mathematics, exploring areas like number theory, geometry, discrete dynamical systems, and arithmetic geometry. You will engage with advanced algebraic methods, computational aspects, and have the flexibility to tailor your studies through elective courses in fields such as algebraic number theory, algebraic geometry, and cryptology. The program is closely aligned with current research at the Mathematical Institute, offering opportunities to work on cutting-edge topics.
The specialisation allows for a highly individualised study plan, with opportunities to choose advanced courses tailored to your interests. Specific module details are typically confirmed closer to the start of the academic year.
Further details on specific academic requirements and how to demonstrate your suitability will be provided during the application process.
Tuition fees and living costs are subject to change and specific rates for international students are typically found on the main university fees pages.
Applicants generally need a Bachelor's degree in Mathematics or a closely related field, with a strong foundation in pure mathematics. Specific academic requirements will be assessed based on individual academic backgrounds during the application process.
Application deadlines are typically around December for non-EU/EEA students and January for EU/EEA students. The exact dates for your intake should be verified on the university website, as the application period generally opens in autumn.
You should follow the general Master's application procedure for Leiden University by checking eligibility, preparing required documents like transcripts and a motivation letter, and submitting an online application through the university portal.
This specialisation primarily prepares students for an academic career, offering a strong foundation for PhD studies at Leiden University or other institutions. Graduates will gain advanced analytical and problem-solving skills suitable for various research-oriented roles.