Voor de beste ervaring schakelt u JavaScript in en gebruikt u een moderne browser!
Je gebruikt een niet-ondersteunde browser. Deze site kan er anders uitzien dan je verwacht.
Completion of this pre-Master's will grant you unconditional admission to the MSc Data Science and Business Analytics. During the programme you will take courses that complement your prior education. This gives you the opportunity to fully catch up with basic subjects relating to data science and business analytics. Within one academic year you will have all the necessary knowledge and skills to start your Master's in Data Science and Business Analytics.

Why this pre-Master’s programme

Obtaining your MSc Data Science and Business Analytics degree is a great step in your career. Leading experts will challenge you to discuss and reflect on theories, examine case studies and work with advanced software. Most of your teachers execute world-class research and will share their latest techniques and practices with you. Future employers will reward your MSc degree with a Master’s degree worthy starting salary and a wide range of promotion opportunities.

Duration and content

You have a full academic year to successfully complete the 36 ECTS credits programme. Throughout the year, you can expect excellent teaching and support from our professors, each highly respected in their field of expertise.


For your convenience, we selected a fixed set of 6 courses for you. These form an excellent preparation for any of the 2 tracks you will later on choose within the MSc Data Science and Business Analytics.

  • Probability Theory and Statistics 3

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

  • Machine Learning

    Get acquainted with Machine Learning. Learn to discriminate between different machine learning and pattern recognition methods, apply methods on different types of data and evaluate their performance using different metrics.

  • Optimisation

    Learn how to formulate mathematical models for practical problems such as a linear programming (LP) problem, perform a sensitivity analysis for LP problems and solve integer programming problems.

  • Econometrics 1

    Learn how to develop the multiple regression model with applications, especially to cross-sectional data. Make extensive use of matrix algebra and multivariate statistical theory. Use software packages EViews and R or Python for the execution of applications and simulations.

  • Finance for AE

    Get a broad introduction to modern finance, theoretical and empirical, with focus on the assessment of investment projects and the way to finance them as well as the fundamental relationship between risk and return by presenting modern portfolio theory and the capital asset pricing model (CAPM).

  • Time Series Analysis and Forecasting

    Learn about the parts of univariate and multivariate time series analysis that are most relevant for analysing and forecasting (macro)economic and financial time series.

Our pre-Master’s in brief

Language English
Duration 1 academic year
Start pre-Master's September
Start MSc Econometrics Following academic year in September (choose 1 of 2 tracks)
Cost You pay tuition fee per ECTS. Calculate your tuition fee

Entry requirements

The entry requirements for this pre-Master’s programme depend on your previous academic education.

How to apply 

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. 

  • 1. Check the application deadline

    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
  • 2. Register in Studielink
  • 3. Check your personal enrolment checklist in SIS

    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. Please note that the pre-Master's Data science and Business Analytics is called pre- Master's Business Analytics in your checklist.

  • 4. Submit your application in Embark

    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.

  • 5. Pay the tuition fee

    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).