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.
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.
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.
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 |
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.
Your eligibility is based on the following citeria:
Your eligibility is based on the following criteria:
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.
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.
If you meet all the admission requirements, you can apply for the pre-Master's programme. Please complete these steps to apply. Only applicants who complete these steps will be considered.
The application deadline for the September 2024 intake:
For applicants with an EU degree: | 1 May 2024 |
For applicants with a Dutch degree: | 1 June 2024 |
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.
If you have received the great news that you are (conditionally) admitted to the programme, it's time to focus on other essential matters like arranging a visa (if necessary), finding accommodation, and preparing for the start of your academic journey. Want to get an early idea of what you need to consider? Visit one of these helpful pages: practical information / praktische zaken (Dutch info).