With the MSc Actuarial Science and Mathematical Finance you will develop expertise in financial risk management both within and outside the insurance area. Moreover, you can specialise in your field of interest by choosing one of 2 tracks.
As a future expert you will analyse the financial consequences of economic developments and risks. You will use mathematics, statistics, and financial theory to study uncertain future events, for example those of concern to insurance and pension companies.
During your studies we help you gain insight into the latest theories and models. Besides this, we will train you to apply them to real-life business cases.
The Amsterdam School of Economics has an exceptionally strong tradition in actuarial science and mathematical finance. Internationally leading experts conduct world-class research here. This means you will have access to the latest techniques and practices.
Our strong links to and support from international insurance and financial institutions will help you gain up-to-date insights. Expect interesting guest lectures from leading institutions such as the Dutch Central Bank (DNB), the European Central Bank and the Ministry of Social Affairs and Employment. During your year with us, you will discuss and reflect on theories, and apply the practice of Actuarial Science and Mathematical Finance to real-life cases.
Our Master’s programme in Actuarial Science and Mathematical Finance consists of a general part for all students and a specific part where you follow courses related to the specialisation track of your choice. After the joint first period, you can choose the track that suits you best:
In this hands-on seminar you will learn about the practical implementation of an Asset Liability Management (ALM) study focusing on the match between investment policies and liabilities. The cases involve theoretical aspects such as asset dynamics and liability modelling, numerical aspects like Monte Carlo simulation as well as practical communication and team working skills.
In this course you learn the basic principles of asset pricing and risk mitigation on a market-consistent basis. The course provides an introduction to mathematical techniques which can be used in complete markets such as those for equity and interest derivatives, but it also considers incomplete markets.
In this course you study statistical techniques that can be applied in non-life insurance. We explore Generalized Linear Models for determining insurance prices. Also, we take a look at IBNR models for predicting future payments on claims regarding events that have occurred in the past but are not yet (fully) known to the insurer. Another topic is credibility theory to predict future claims. Apart from the theory, we study and practice the implementation of the techniques using the programming language R.
The course will cover the basics of information theory, including information asymmetry, moral hazard and adverse selection and the basics of behavioural insurance and finance.
This course provides an in-depth treatment of the principles of (quantitative) risk management for insurers and pensions. The course focuses first on the joint measurement, modelling and allocation of financial and insurance risks. Next, the course treats the design of risk mitigation strategies and of asset allocation strategies from a long-term perspective.
In this course elements of probability theory, stochastic processes and stochastic calculus are discussed to the extent that it is relevant in the analysis of financial derivatives. The emphasis is on the mathematical concepts and techniques and to a lesser extent on their application in pricing and hedging derivatives.
The topics that are covered are discrete time methods: binomial trees and the Cox-Ross-Rubinstein model; continuous time stochastic processes: Brownian motion and martingales; stochastic calculus: the Ito integral, Ito's lemma and stochastic differential equations; Girsanov's theorem, equivalent martingale measures and risk-neutral valuation; the Black-Scholes-Merton model; implementation of various numerical methods in computer programmes.
Your Master’s thesis is the final requirement for your graduation and your first proof of competence to future employers. It is your chance to dive deep into a topic that you are enthusiastic about. One of the researchers within the Department of Quantitative Economics will supervise and support you in writing your thesis. The subject must be based on a relevant theoretical topic or on a research internship at a firm. Since we offer you a structured thesis process, you will be able to finish your Master’s degree within 1 year.
If you have completed your curriculum, you can do an internship or go on an exchange abroad. For international students it is an excellent opportunity to experience the Dutch labour market.
Are you interested in learning Dutch? There are different options to give you the opportunity to maximise your Dutch experience and prepare for your future job in the Netherlands.
Many of our students are members of a study association. It is fun and useful for your future career at the same time. Faculty student associations are a great way to meet fellow students and future employers. They organise study trips (abroad), career events, weekly debates, parties and receptions with drinks. Sometimes you can also purchase your textbooks and course syllabi at reduced rates.
Overview Study Associations
Amsterdam has a thriving student community with many activities organised outside of the university’s grounds. You will find student associations focusing on networking, specific interests and sports. It is only at sororities and fraternities that you can expect an initiation ritual (hazing).
At university, you are entitled to make your voice heard and assess the quality of your own education. Students can participate in the discussion on the university's education policy in various ways, such as by joining the Programme Committee, the Faculty Student Council or the first-year focus group. You can also stand for election and dedicate your efforts to the programme and your fellow students.
During your Master’s, you will experience an inspiring combination of both offline and online education. We work with a blended learning teaching method. By applying this method, you will be able to combine different types of learning into 1 approach and enjoy mastering knowledge at your own pace. During class there will be more time for in-depth analyses and interaction with your lecturer and peers.
Types of education
In this programme, you will find that in your education there’s a balance between innovative teaching methods and traditional forms. Writing an academic paper can be alternated by an online challenge. A peer-feedback assignments or a video recording with explanation can also be part of the teaching method.
Our Centre for Educational Innovation and our Teaching and Learning Centre are continuously working on improving our teaching methods. We take the interactions between students, teachers, and learning resources into account. In doing so, we hope to offer you the right combination of challenging, effective, and efficient education.