The Master of Science in Actuarial Science and Mathematical Finance is a one-year programme for those wishing to work as an actuary (an insurance mathematician). An actuary designs and monitors financial security systems. The actuarial profession is currently in a period of transition and has come to encompass management of financial risks outside the insurance sector.
The Master's programme in Actuarial Science and Mathematical Finance is a multidisciplinary programme providing a balanced and rigorous training in the financial and mathematical analysis of complex insurance issues. It focuses on mathematical model-building in the various specialised fields of insurance: life insurance, non-life insurance and pension funds. Because the programme is aimed at helping students develop a scientific attitude and approach, it places a great deal of emphasis on the theoretical foundations of various methods and techniques.
Studying Actuarial Science and Mathematical Finance at the University of Amsterdam
What makes the University of Amsterdam's Master's programme in Actuarial Science unique is its range of courses incorporating all the latest international developments, such as Fair Value Techniques, Market-Consistent Embedded Value and Solvency II.
The programme is taught by leading scholars in the field of actuarial science, together with a number of professionals who work in the industry itself; this ensures that students learn the most up-to-date techniques, practices and insights. The UvA Master in Actuarial Science is the only stand-alone Master's degree of its kind offered in the Netherlands.
Accreditation and degree
The Master's programme in Actuarial Science and Mathematical Finance has been accredited by the Accreditation Organisation of the Netherlands and Flanders (NVAO). This means that upon successful completion of the programme, students will receive a legally accredited Master's degree in Actuarial Science and the title of Master of Science (MSc).
BSc in mathematics or physics gives the required level of calculus and linear algebra. But also a rather thorough knowledge of probability and mathematical statistics is required. To give some examples: students entering the MSc should be familiar with moment generating functions, maximum likelihood estimation, sufficient statistics and multinormal distributions. Knowledge of the linear regression model is also required. A degree in quantitative economics. Additionally, we assume the student to be familiar with actuarial science, in particular, risk theory.
EU/EEA students appr. €1,700 per year Non-EU/EEA students: €12,000 per year
Recipient: University of Amsterdam
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