University of Amsterdam

Overview

The MSc in Actuarial Science and Mathematical Finance at the University of Amsterdam offers a comprehensive blend of advanced mathematical techniques and practical applications in risk and insurance management. This program allows you to specialize in a track of your choice, equipping you with the quantitative skills necessary for effective financial risk management.

What you'll study

The program is structured around core courses and specialized modules tailored to your selected track. You will gain in-depth knowledge in financial and actuarial mathematics, stochastic modeling, and risk management, with an emphasis on real-world applications.

Core learning (examples of course areas)

• Financial Mathematics for Insurance
• Stochastic Calculus
• Risk Management for Insurers and Pensions
• Asset Liability Management – Cases and Skills

Track options

• Actuarial Science track: This track enhances your understanding of actuarial principles, preparing you for roles in pricing, reserving, and risk assessment within insurance and other financial institutions.
• Quantitative Risk Management track: Focuses on quantitative methodologies for managing risk in various financial settings, including pensions and insurance sectors.

Applied and data-focused components (examples)

• Non-Life Insurance: Statistical Techniques and Data Analytics

Capstone / final assessment: The program culminates in a final academic assessment, which typically takes the form of a thesis or equivalent capstone project, allowing you to showcase your knowledge and skills.

Entry requirements

Candidates for the MSc in Actuarial Science and Mathematical Finance should possess a relevant Bachelor's or Master's degree with a solid mathematical foundation. This program is designed for students capable of engaging with advanced quantitative coursework and managing a rigorous study schedule.

Academic background

Ideal candidates will have prior coursework that includes:

• Calculus
• Linear Algebra
• Statistics
• Probability Theory

Relevant degree fields may include Mathematics, Physics, Econometrics, or other disciplines that offer comparable quantitative training.

Selection criteria

While meeting the formal entry requirements is essential, it does not guarantee admission. The selection process evaluates applicants based on criteria such as:

• GPA (assessed comparatively among candidates)
• GRE and/or GMAT scores (if applicable)
• Motivation letter

The goal is to identify candidates with the potential to excel in the program.

English language requirements

Applicants must demonstrate proficiency in English. Accepted tests include:

• IELTS Academic: minimum score of 6.5
• TOEFL iBT: minimum score of 92

Documents typically required

• Official transcripts
• Degree certificate (or proof of expected graduation)
• Curriculum Vitae (if requested)
• Motivation letter
• GRE/GMAT score report (if required)
• English test score report

Career prospects

Graduates of the MSc in Actuarial Science and Mathematical Finance are well-equipped for a variety of roles in the finance and insurance sectors. They often pursue careers as actuaries, risk analysts, and financial consultants, leveraging their skills in quantitative analysis and risk management to contribute to organizational success.