Business Analytics
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The Master’s programme in Business Analytics is a two year programme consisting of 120 ECTS, divided into four semesters. The first semester is devoted to compulsory courses. During the second and third semester, you may focus on one of the three specializations. Finally, in the fourth semester, you spend six months on an internship at a business or research institute.The art of mathematical modelling and ways to apply it in practiceTo build a complete decision support system in a group projectTo analyze data and recognize data patterns and structuresMathematical methods used within financial institutionsScientific writing and presentation skillsTo work in an interdisciplinary team, to communicate and work together with experts in different areas To combine and apply your knowledge in practice by means of a traineeship.The three specializations are:-Computational Intelligence: Which patients are likely to develop serious coronavirus symptoms? What’s the probability of a consumer clicking on an advert on a website? Where is crime most likely to occur?The answers to these questions can be found using algorithms from data mining and machine learning. They turn large amounts of data into useful information, using tools like artificial intelligence, big data, deep learning, evolutionary computing, data mining, data science and so on. This is one of the hottest scientific topics of this century – and it’s showing no signs of slowing down.If you choose this track, you’ll take compulsory courses in the optimisation of business processes – including mathematical optimisation – and machine learning and its applications, such as dynamic programming and reinforcement learning.-Financial Risk Management: How should share options be priced? Which home owners are most likely to default on their mortgage payments? If any sector uses numbers, it’s finance. The availability of large amounts of data opens up numerous possibilities to apply quantitative techniques. And this track will give you the tools to crunch the numbers.You’ll learn to price derivatives, such as share options, and strategies for risk management. And you’ll learn how to determine which customers are most at risk of defaulting on their monthly payments. You’ll gain both practical skills and theoretical knowledge, making you a valuable asset for any financial institution or fintech.If you choose this track, you’ll take compulsory courses that combine mathematics with financial applications, including stochastic processes for finance, applied analysis using financial mathematics, and investments.-Optimisation of Business Processes: How to price airline tickets optimally? How to reduce the waiting time in a hospital? The Optimisation of Business Processes track is all about utilising data and algorithms to optimise business decisions. It combines the fields of operations research, data science and operations management into a track focused on improving businesses and organisations.If you choose this track, you’ll take compulsory courses in the optimisation of business processes – including mathematical optimisation – and machine learning and its applications, such as dynamic programming and reinforcement learning.
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Admissions Requirements
A bachelor's degree in a related field is required. Admission Deadline: April 1
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Amsterdam
Netherlands
1081 HV
Netherlands
- 2 years
- Full Time
- On Campus Learning
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