Leiden University

Overview

The MSc in Algebra, Geometry and Number Theory at Leiden University is designed for those passionate about pure mathematics. This research-oriented program delves into essential topics, including arithmetic geometry and algebraic number theory, while also exploring related fields such as topology and geometry. Students will engage in cutting-edge research, with opportunities to focus on a thesis guided by experienced faculty.

• Degree: MSc
• Programme focus: Pure mathematics, emphasizing algebra, geometry, and number theory with a research-oriented thesis
• Delivery: On-campus at Leiden University
• Duration: Typically 24 months full-time
• Language of instruction: English
• Thesis: Supervised master’s thesis aligned with faculty expertise
• Related international programme: Erasmus Mundus ALGANT

What you'll study

The curriculum is structured around advanced coursework and a master's thesis. Students can tailor their study path according to personal interests and available thesis topics.

Coursework

• Algebraic Curves
• Combinatorial Game Theory
• Complex Networks
• Linear Analysis
• Mathematical Statistics
• Multiscale Mathematical Biology
• Quantum Computing
• Advanced Topics in Operations Research

Research specialization and thesis

• Research specialization: Students cultivate a focused direction within the programme's research themes, including algebra, number theory, and topology.
• Master’s thesis: A significant research project under faculty supervision, culminating in a comprehensive written thesis and, where applicable, a presentation.

Note: Course availability may vary; students will finalize their study plans with program and thesis supervisors.

Entry requirements

There are no specific GRE, GMAT, or GPA grading score requirements for this programme. However, applicants should possess a strong foundation in mathematics.

Career prospects

Graduates of the MSc in Algebra, Geometry and Number Theory can pursue various career paths, including academic research, teaching, and positions in industries that require advanced analytical and problem-solving skills. Opportunities exist in sectors such as finance, cryptography, data analysis, and software development.