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.

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.

Gain fundamental insights into classical mathematical statistics and learn how to work with basic statistical models.

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.

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?

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.

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.

Collect your own data sets and analyse them with appropriate techniques.

Your eligibility is based on the following citeria: 

1. Academic Bachelor’s degree with a focus on mathematics and statistics. You should have 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). 

Students with an EU academic degree + EU nationality:

Your eligibility is based on the following criteria: 

1. Academic Bachelor’s degree with a focus on mathematics and statistics. You should have 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. GRE test: minimum score: 155 and preferably 158 in the Quantitative Reasoning section (please take your GRE test before the application deadline).
3. We require evidence of English language proficiency. Good English skills are essential for successful class participation and understanding. In some cases, you might be exempted from the English test requirement. If not, we'll assess your English skills through specific proficiency tests: 

• TOEFL iBT Test: minimum total score of 92 with a minimum of 22 per section. You can use the institution code 9011 to have your score report sent to us. 
• IELTS Academic: overall band score of: 6.5 with a minimum of 6.0 per section. Please note that the IELTS Indicator test is not allowed. 
• Cambridge C1 Advanced or C2 Proficiency: overall score of  180 and a minimum of 180 per skill. 

Your English proficiency test score cannot be older than 2 years before the start date of your programme. For example, if you are applying for the September 2024 intake we do not accept English proficiency tests taken before September 2022. Sufficient test scores received after the application deadline are accepted, as long as your English proficiency test was taken before the application deadline. 

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.

Students with a non-EU degree + non-EU nationality

If you are a student with a non-EU nationality, you may consider applying for a Master’s-qualifying programme at the Cambridge Education Group.

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.

The application deadline for the September 2024 intake: 

Register in Studielink – Select the programme BSc Actuarial science - pre-Master's programme

After registering in Studielink, you will receive your UvAnetID. This will give you access to check the status of your personal enrolment Checklist. There you find the subsequent steps that you need to take in order to complete your enrolment.  

In order to check if you are eligible for the programme you need to upload and submit your documents in our online application system Embark. Make sure you keep an eye on the deadlines! 

You will most likely receive your results within 4-6 weeks after we have received a complete application, but in peak moments (January till June) evaluating your application may take a few weeks longer.

The tuition fees for your pre-Master’s programme depend on the number of ECTS credits you need to obtain. Please take into account that it is not possible to arrange payment of your tuition fees until the programme has officially admitted you to the pre-Master’s programme. The tuition fees for pre-Master's programmes are usually not calculated until August.