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COVID-19 update: This course will start online and continue on campus later. Read more

What will I learn?

The two-year master's specialisation Applied Mathematics focuses on both computational and fundamental aspects of analysis and probability. You will become thoroughly acquainted with mathematics as it is applied in various aspects of life.

What does this master’s programme entail?

The Applied Mathematics master's specialisation focuses on both computational and fundamental aspects of analysis and probability. The specialisation offers courses dealing with diverse topics such as dynamical systems, interacting particle systems, network theory, stochastic differential equations, time series, asymptotic statistics and population genetics. Much of the material is driven by applications in physics and especially the life sciences. The analysis component of this specialisation focuses on topics such as C *-algebras, percolation, and stochastic dynamics.

Why study Applied Mathematics at Leiden University?

  • There is a strong theme dealing with Bioscience, as well as a strong theme dealing with industry and operations research.
  • There are intensive collaborations with Physics, Earth Sciences and Biology departments and the Leiden University Medical Centre. This makes sure you can bridge theory with real life applications.
  • You have considerable freedom to tailor your master programme to your personal interests and ambitions.

Applied Mathematics: the right master’s programme for you?

The research specialisation is particularly interesting for you, if you want to become thoroughly acquainted with mathematics as it is applied in various aspects of life. More in general, Applied Mathematics is an excellent choice if you have the aspiration to pursue a PhD degree. The master’s specialisation in Applied Mathematics is an ideal basis for becoming a mathematical researcher within an (international) industrial environment.

Career prospects

The Applied Mathematics specialisation is the excellent preparation to start a career in research. It is a suitable stepping stone for pursuing a PhD degree. The degree also provides job opportunities outside academia in a (international) industrial environment.

Acquired skills and competence

After graduation you will have excellent knowledge of theoretical Mathematics and experience with working in a multinational environment. This ensures you are capable of operating successfully on the international market. If you have the ambition to deepen you knowledge this degree is the right preparation to apply for a PhD programme.

Career

The Mathematics Master’s programme is an ideal basis for a career in academia, starting for example with one of the PhD programmes at the Leiden Mathematical Institute. Alumni also work as researchers within an industrial environment, such as in Akzo-Nobel, Shell, Philips or TNO. There are also many possibilities in business. Graduates with a Mathematics degree find jobs in banks, insurance and option trading companies, communication and information technology, industry, and logistics.

Which department am I in?

Faculty of Science

Study options

Full Time (2 Years)

Tuition fees
€18,016.00 (14,71,895) per year
Application deadline

Expected October 2022

More details

Start date

Expected September 2022

Venue

Leiden University

Rapenburg 70,

LEIDEN,

Zuid-Holland,

2311, Netherlands

Entry requirements

For students from United States

Applicants need a BA or BSc degree (or equivalent) to be admitted to any of Leiden University’s master’s programmes. English-language proficiency: IELTS - 6.0; Toefl (internet based): 80 (component score: 20); Cambridge C2 Proficiency (CPE), or C1 Advanced (CAE): Cambridge component score of 169.

For international students

  • A copy of a valid passport or ID card
  • A copy of a Dutch residence permit (if applicable)
  • CV (résumé)
  • Language proficiency (if applicable)
  • Copies of diplomas and transcripts
  • Letter of motivation

*There may be different IELTS requirements depending on your chosen course.

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