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Applied Mathematics● OpenMasters⏰ 1 days leftPreview

Applied Mathematics (MSc)

Explore the intersection of computational analysis, probability, and real-world applications in physics and life sciences.

Best for:Best for mathematics graduates with a strong foundation in analysis and probability who seek to specialise in computational and applied mathematics for careers in research or industry.

Leiden University · Leiden, Netherlands
More professors at Leiden University
dynamical systemsinteracting particle systemsnetwork theorystochastic differential equationstime series analysisasymptotic statistics
This is a masters position — not a PhD studentship.
Deadline
Oct 15, 2026
1 days
Funding
Unfunded
2 years
Start date
flexible (typically aligned with academic calendar)
Full-time
Location
Leiden
Netherlands

Overview

This Master of Science in Applied Mathematics at Leiden University immerses students in both computational and theoretical aspects of analysis and probability. The programme covers diverse topics such as dynamical systems, network theory, stochastic differential equations, and population genetics, with a strong emphasis on applications in physics and life sciences. Students will engage with advanced topics like C*-algebras, percolation, and stochastic dynamics, gaining a deep understanding of how mathematics solves real-world challenges. The curriculum is designed for those aspiring to pursue a PhD or enter international industrial research environments. It balances rigorous theory with practical problem-solving, preparing graduates for careers in academia or industry.

computational mathematicsprobability theorymathematical modelinglife sciences applicationsphysics applicationsstochastic processesanalysisPhD preparation

What you'll do

  • Study advanced topics in computational and theoretical analysis, including dynamical systems and stochastic processes.
  • Engage with interdisciplinary applications in physics and life sciences through coursework and research projects.
  • Develop mathematical models and computational tools to address real-world problems.
  • Participate in seminars and workshops to explore cutting-edge research in applied mathematics.
  • Collaborate with peers and faculty on research projects, potentially leading to publications or industry applications.
  • Complete a master’s thesis under faculty supervision, demonstrating independent research skills.

Requirements

Degree required: Bachelor of Science in Mathematics or a closely related field (e.g., Physics, Computer Science, or Engineering)

Degree offered: Master of Science (MSc)

Language: English; IELTS 6.5 overall band or TOEFL 90 (internet-based) or equivalent (Cambridge Certificate in Advanced English 180 or Certificate of Proficiency in English 180)

Instruction: English

Required skills
  • Strong background in mathematical analysis and probability theory
  • Familiarity with computational techniques and programming (e.g., Python, MATLAB, or similar tools)
  • Ability to work independently and collaboratively on research projects
  • Proficiency in mathematical modeling and problem-solving
Nice to have
Experience with numerical methods or computational simulationsKnowledge of statistical software (e.g., R, SPSS)Background in physics or life sciences applications of mathematics
Eligibility
  • No specific nationality restrictions
  • No age restrictions
  • No prior work experience required

Funding & terms

Type
Unfunded
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2026-10-15

Applicants must submit their application through Leiden University’s official online portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency, and a letter of recommendation. The application process involves reviewing academic qualifications and research potential.

Documents required
  • CV
  • Motivation letter
  • Academic transcripts (Bachelor’s degree)
  • Proof of English proficiency (IELTS/TOEFL/Cambridge Certificate)
  • Letter of recommendation
↗Check programme and admissions
Lab
Faculty of Science
Leiden University
Netherlands
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