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Make companies smarter with advanced maths, AI, and data
Decisions in healthcare, energy, finance and logistics increasingly rely on models and AI. This programme equips you with advanced methods from mathematics and computer science, and with the judgement to apply them responsibly, so that the decisions they support hold up in practice.

The Master's Business Analytics takes two years. In your first semester you take the compulsory core courses, in the second and third semesters you focus on your specialisation, and in the fourth you carry out a six-month research internship at a company or research institute.

Why two years? Many quantitative master's programmes take one year and consist mainly of courses. Two years give you time to build expertise, explore your interests through electives and specialise in depth. You then apply what you have learned in a six-month internship within an organisation, so you graduate with a stronger technical foundation, substantial practical experience and often a job offer. Two-year master's programmes (120 ECTS) are also the norm in much of Europe, which can matter when applying for jobs or PhD positions abroad.

During the programme you learn mathematical modelling and how to apply it in practice (including at financial institutions), how to make predictions with machine learning and statistics, how to analyse data and recognise patterns and structures, and how to build a complete decision support system in a group project.

You also develop professional skills: scientific writing and presenting, and communication and teamwork in an interdisciplinary team.

Alongside these skills, you learn how AI models such as large language models work, where they fail and how to use them ethically, so that you are ready for a working world in which AI is an everyday tool.

The programme is taught entirely in English and starts in September.

First and second semester

In your first semester you take the following compulsory courses, whichever specialisation you choose.

In Applied Stochastic Modeling you gain insight into mathematical modelling and how it is used in practice, and explore a number of stochastic solution methods.

In Statistical Models you apply common statistical models in appropriate settings, including analysis of variance, generalised linear models, non-linear models and time series models.

In Mathematical Foundations of Machine Learning you study the mathematics behind modern machine learning methods.

You also carry out a group project, Project Optimization of Business Processes, in which you design and build a decision support system that is scientifically sound and can be used in practice (dual students follow the Dual Workperiod instead). In the Research Seminar Business Analytics you prepare for your Master's project.

In the second semester you specialise in one of three areas:

  1. Optimisation of Business Processes
  2. Computational Intelligence 
  3. Financial Risk Management

Summary

How should airline tickets be priced? How can waiting times in a hospital be reduced? The Optimization of Business Processes specialisation is about using data and algorithms to improve business decisions. It combines operations research, data science and operations management to improve how companies and organisations work.

In this specialisation you take the compulsory courses Mathematical Optimization, Optimization of Business Processes, and Dynamic Programming and Reinforcement Learning.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Dynamic Programming and Reinforcement Learning
  • Mathematical Optimization
  • Optimization of Business Processes

Find the complete course overview in the study guide.

Summary

Which patients are most at risk of complications after surgery? How likely is a customer to click on an online advert? Can a language model answer customer questions reliably?

Algorithms from machine learning, deep learning, evolutionary computing and natural language processing turn large amounts of data into useful information. In this specialisation you learn how these AI methods work, how to build them and how to judge when their answers can be trusted.

In this specialisation you take the compulsory courses Deep Learning, Evolutionary Computing and Natural Language Processing.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Evolutionary Computing
  • Deep Learning
  • Natural Language Processing

Find the complete course overview in the study guide.

Summary

How should share options be priced? Which homeowners are most likely to default on their mortgage? Finance runs on numbers, and the growing amount of data creates many opportunities for quantitative methods. This specialisation gives you the tools to use them.

You learn to price derivatives such as share options, to design strategies for risk management, and to determine which customers are most at risk of defaulting on their payments. You gain both theoretical knowledge and practical skills for a career at a financial institution or fintech company.

In this specialisation you take the compulsory courses Stochastic Processes for Finance, Applied Analysis: Financial Mathematics (MSc) and Investments for Business Analytics, which combine mathematics with financial applications.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Stochastic Processes for Finance
  • Applied Analysis: Financial Mathematics (MSc)
  • Investments for Business Analytics

Find the complete course overview in the study guide.

  • Optimisation of Business Processes

    Summary

    How should airline tickets be priced? How can waiting times in a hospital be reduced? The Optimization of Business Processes specialisation is about using data and algorithms to improve business decisions. It combines operations research, data science and operations management to improve how companies and organisations work.

    In this specialisation you take the compulsory courses Mathematical Optimization, Optimization of Business Processes, and Dynamic Programming and Reinforcement Learning.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Dynamic Programming and Reinforcement Learning
    • Mathematical Optimization
    • Optimization of Business Processes

    Find the complete course overview in the study guide.

  • Computational Intelligence

    Summary

    Which patients are most at risk of complications after surgery? How likely is a customer to click on an online advert? Can a language model answer customer questions reliably?

    Algorithms from machine learning, deep learning, evolutionary computing and natural language processing turn large amounts of data into useful information. In this specialisation you learn how these AI methods work, how to build them and how to judge when their answers can be trusted.

    In this specialisation you take the compulsory courses Deep Learning, Evolutionary Computing and Natural Language Processing.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Evolutionary Computing
    • Deep Learning
    • Natural Language Processing

    Find the complete course overview in the study guide.

  • Financial Risk Management

    Summary

    How should share options be priced? Which homeowners are most likely to default on their mortgage? Finance runs on numbers, and the growing amount of data creates many opportunities for quantitative methods. This specialisation gives you the tools to use them.

    You learn to price derivatives such as share options, to design strategies for risk management, and to determine which customers are most at risk of defaulting on their payments. You gain both theoretical knowledge and practical skills for a career at a financial institution or fintech company.

    In this specialisation you take the compulsory courses Stochastic Processes for Finance, Applied Analysis: Financial Mathematics (MSc) and Investments for Business Analytics, which combine mathematics with financial applications.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Stochastic Processes for Finance
    • Applied Analysis: Financial Mathematics (MSc)
    • Investments for Business Analytics

    Find the complete course overview in the study guide.

Third and fourth semester

In the third semester you continue in your specialisation.

In your fourth and final semester you carry out your Master's project: a six-month research internship at a company or research institute. Recent projects include classifying the severity of traffic accidents in the Netherlands with machine learning, optimising nursing home placement based on patient preferences, assessing how Dutch pension reform affects investment risk across generations, and quantifying the trade-off between ESG compliance and profitability.

Visit the Internship Office Business Analytics for internship reports and information about the dual programme.

Summary

How should airline tickets be priced? How can waiting times in a hospital be reduced? The Optimization of Business Processes specialisation is about using data and algorithms to improve business decisions. It combines operations research, data science and operations management to improve how companies and organisations work.

In this specialisation you take the compulsory courses Mathematical Optimization, Optimization of Business Processes, and Dynamic Programming and Reinforcement Learning.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Dynamic Programming and Reinforcement Learning
  • Mathematical Optimization
  • Optimization of Business Processes

Find the complete course overview in the study guide.

Summary

Which patients are most at risk of complications after surgery? How likely is a customer to click on an online advert? Can a language model answer customer questions reliably?

Algorithms from machine learning, deep learning, evolutionary computing and natural language processing turn large amounts of data into useful information. In this specialisation you learn how these AI methods work, how to build them and how to judge when their answers can be trusted.

In this specialisation you take the compulsory courses Deep Learning, Evolutionary Computing and Natural Language Processing.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Evolutionary Computing
  • Deep Learning
  • Natural Language Processing

Find the complete course overview in the study guide.

Summary

How should share options be priced? Which homeowners are most likely to default on their mortgage? Finance runs on numbers, and the growing amount of data creates many opportunities for quantitative methods. This specialisation gives you the tools to use them.

You learn to price derivatives such as share options, to design strategies for risk management, and to determine which customers are most at risk of defaulting on their payments. You gain both theoretical knowledge and practical skills for a career at a financial institution or fintech company.

In this specialisation you take the compulsory courses Stochastic Processes for Finance, Applied Analysis: Financial Mathematics (MSc) and Investments for Business Analytics, which combine mathematics with financial applications.

You also choose at least three electives from a selection (two in the dual programme). 

Specialisation-specific courses

  • Stochastic Processes for Finance
  • Applied Analysis: Financial Mathematics (MSc)
  • Investments for Business Analytics

Find the complete course overview in the study guide.

  • Optimisation of Business Processes

    Summary

    How should airline tickets be priced? How can waiting times in a hospital be reduced? The Optimization of Business Processes specialisation is about using data and algorithms to improve business decisions. It combines operations research, data science and operations management to improve how companies and organisations work.

    In this specialisation you take the compulsory courses Mathematical Optimization, Optimization of Business Processes, and Dynamic Programming and Reinforcement Learning.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Dynamic Programming and Reinforcement Learning
    • Mathematical Optimization
    • Optimization of Business Processes

    Find the complete course overview in the study guide.

  • Computational Intelligence

    Summary

    Which patients are most at risk of complications after surgery? How likely is a customer to click on an online advert? Can a language model answer customer questions reliably?

    Algorithms from machine learning, deep learning, evolutionary computing and natural language processing turn large amounts of data into useful information. In this specialisation you learn how these AI methods work, how to build them and how to judge when their answers can be trusted.

    In this specialisation you take the compulsory courses Deep Learning, Evolutionary Computing and Natural Language Processing.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Evolutionary Computing
    • Deep Learning
    • Natural Language Processing

    Find the complete course overview in the study guide.

  • Financial Risk Management

    Summary

    How should share options be priced? Which homeowners are most likely to default on their mortgage? Finance runs on numbers, and the growing amount of data creates many opportunities for quantitative methods. This specialisation gives you the tools to use them.

    You learn to price derivatives such as share options, to design strategies for risk management, and to determine which customers are most at risk of defaulting on their payments. You gain both theoretical knowledge and practical skills for a career at a financial institution or fintech company.

    In this specialisation you take the compulsory courses Stochastic Processes for Finance, Applied Analysis: Financial Mathematics (MSc) and Investments for Business Analytics, which combine mathematics with financial applications.

    You also choose at least three electives from a selection (two in the dual programme). 

    Specialisation-specific courses

    • Stochastic Processes for Finance
    • Applied Analysis: Financial Mathematics (MSc)
    • Investments for Business Analytics

    Find the complete course overview in the study guide.

Dual programme

Would you like to work while you study? In the dual programme you combine your studies with a relevant part-time job for the first 16 months. You earn 12 credits and a regular salary, and gain work experience that prepares you for professional life. The dual programme is open to EU students. Read more on the Dual programme Business Analytics page.

Your future in Business Analytics

Are you looking for a degree that launches an international career? We estimate that around 95% of Business Analytics graduates go straight into full-time employment. Studying in Amsterdam also puts international career opportunities right on your doorstep.

Explore your future prospects
Two women discuss figures on the big screen

Want to know more about the curriculum of the programme?

Please contact the Master's coordinator

Rikkert Hindriks  
r.hindriks@vu.nl

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