Why this pre-Master’s programme
If your prior education does not (completely) fit the entry requirements, this pre-Master’s is your stepping stone to getting admitted to our MSc Actuarial Science and Mathematical Finance.
Obtaining your MSc degree is a great step for your career. Expert teachers will challenge you to think differently and form your own views and opinions to tackle complex issues. You will also start building your network of experts and leaders in your specialisation (track). Future employers will reward these achievements with a relatively high starting salary and promotion opportunities.
Study programme
You have a full academic year to successfully complete the 48 ECTS programme. Throughout this year, you can expect excellent teaching and support from our professors. Each highly respected in their field of expertise. We selected a fixed set of 8 courses for you. These form an excellent preparation for one of the 2 specialisation tracks you will later on choose within the MSc Actuarial Science and Mathematical Finance.
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Life Insurance Mathematics
Learn about life contingent risks and related financial products. Acquire the skills to calculate actuarial present values, premium structures and policy values for different types of life annuity and life insurance products.
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Mathematics and Empirical Finance
Learn about modern investment and portfolio theory. Focus on the development of financial-economic theories as well as the required mathematical and statistical techniques needed to analyse and implement them.
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Probability Theory and Statistics 3
Gain fundamental insights into classical mathematical statistics and learn how to work with basic statistical models.
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Statistical Learning
Learn about the issues and challenges of statistical learning, such as: model selection, model complexity and the strengths and weaknesses of many popular statistical learning approaches. Acquire the skills to implement various statistical learning algorithms in a range of real-world applications.
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Econometrics 1
Learn how to explain and apply different econometric models to real data and interpret the estimation results. Do the basic assumptions hold? If not, what are the consequences. Can you apply an alternative estimation technique?
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Risk Theory
Study and discuss the individual and collective risk models for total claims in an insurance portfolio. Learn about the Ruin theory, the Dutch bonus-malus system and the Markov analysis. Implement the various concepts and techniques with programming language R.
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Stochastic Models in Life Insurance
Study the elements of probability theory, stochastic processes and stochastic calculus. Learn how to apply stochastic formulations of mortality events and analyse the effects of stochastic mortality on premiums and reserving in life insurance.
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Empirical Project
Collect your own data sets and analyse them with appropriate techniques.
Our pre-Master’s in brief
| Language | English |
| Duration | 1 academic year |
| ECTS | 48 ECTS |
| Start pre-Master's | September |
| Start MSc Actuarial Science and Mathematical Finance | Following academic year in September (choose 1 of 2 tracks) |
| Cost | You pay tuition fee per ECTS. Calculate your tuition fee |
Entry requirements
This pre-Master’s programme is selective. Only students with an EU/EEA nationality and previous EU education who have obtained the highest grades and best fit the programme are selected. Capacity restrictions may apply; meeting the entry requirements is no guarantee for being admitted to the programme.
The entry requirements for this pre-Master’s programme depend on previous education.
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Previous academic education from a Dutch research university
Academic Bachelor’s degree with a focus on mathematics and statistics.
1. Completed a level of mathematics, statistics and programming that is comparable to the following courses of the BSc in Actuarial Science:
- Mathematics 3: Advanced Linear Algebra and Real Analysis
- Mathematics 4: Multivariate Analysis
- Probability Theory and Statistics 1
- Probability Theory and Statistics 2
- Programming and Numerical Analysis
2. GPA selection minimum of 7.5 (with a GPA lower than 7.5, excellent grades on the courses mentioned above are needed).
The application deadline is 1 June 2023.
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Previous education from an EU research university + EU nationality
Students with an EU academic degree + EU nationality:
1. Academic Bachelor’s degree with a focus on mathematics and statistics. Knowledge of mathematics, statistics and economics at a level comparable to the courses below.
- Mathematics 3: Advanced Linear Algebra and Real Analysis
- Mathematics 4: Multivariate Analysis
- Probability Theory and Statistics 1
- Probability Theory and Statistics 2
- Programming and Numerical Analysis
2. GRE selection minimum of 158 for the Quantitative Reasoning section.
3. Evidence of English language proficiency.
- TOEFL IBT: 92, at least 22 on each sub-score (TOEFL institution code: 9011), or
- IELTS Academic: 6.5, at least 6 on each sub-score, or
- Cambridge Assessment English:
- Certificate in Advanced English: 180 Points overall and in each skill.
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Certificate of Proficiency in English: 180 Points overall and in each skill.
4. We do not require a specific minimum GPA for this programme, but we will compare and assess the performance on all selection criteria to make an informed decision regarding placement into the programme.
The application deadline is 1 May 2023.
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Previous education from a Dutch University of Applied Sciences (HBO)
We do not have a pre-Master’s programme available for students with previous education from a Dutch University of Applied Science (HBO). You can apply for our BSc Actuarial Science.