In the specialization in Mathematics of Data Science you will deal with mathematical models and algorithms that can be used to analyze data, draw conclusions and make decisions. With this specialization you will easily find work as a data scientist.

Our world is becoming increasingly digital and data is everywhere. It’s in your social network timeline, in your fitness tracker, in MRI scans or in the transactions of a bank. All these huge amounts of data are full of valuable information. So how do you extract that information in such a way that you can actually put it to good use? In the specialization in Mathematics of Data Science (Data Science for short) you will deal with mathematical models and algorithms that are essential for analyzing data and thus providing a basis for evidence-based decisions in a wide variety of fields.

Some examples of problems you will learn how to solve with this specialization
  • The course in Complex Networks will give you the required knowledge of mathematical models with which you could, for instance, predict when posts go viral. 
  • The courses in Deep Learning and Information Theory and Statistics will provide you with the skills required for extracting useful information from large data sets.
  • In the course Spatial Statistics you will learn how to use available regional data to, for instance, pinpoint the best locations for specific facilities such as fire stations.
  • The course in Managing Big Data will familiarize you with the programming methods and databases used to make today’s data centres work.

Read more about the Mathematics of Data Sciences courses and programme structure.

Collaboration

Data science is a multidisciplinary field. In this specialization you will work with professionals from other fields of study, such as computer scientists, medical professionals, seismologists, or electrical engineers. By collaborating you will learn to view subjects from different angles, which is a perfect preparation for your subsequent professional career as a data scientist.

Career opportunities

With this specialization you will easily find work as a data scientist. As such you will help companies to collect and organize data and apply certain algorithms (such as machine learning algorithms). The results of your work will facilitate making evidence-based decisions, making predictions and gaining insights.

Your career opportunities lie with companies such as Booking.com (once a start-up at the University of Twente campus!), Google or Coolblue. These companies use data to predict how popular a product, travel destination or search result is.

As a mathematically educated data scientist you will also be welcomed by the healthcare sector, high-tech companies such as Thales or ASML, and of course the ICT industry. Your background in mathematics will allow you to go the extra mile, since algorithms are at the very core of data science.

Be an essential link

As a mathematician you will sometimes cross the borders of current mathematics by creating new expansions where necessary. With the mathematician’s flexible thinking enabling you to come up with practical answers to questions in many fields, you are likely to find yourself working in multidisciplinary teams. As mathematics is the common language of engineers, you will be an essential link in optimization processes in virtually every field. For instance, when you’re a member of an engineering team, your team mates may need your skills to adapt an existing model to suit the application they’re working on.

Continue as a researcher: obtain a PhD

Instead of pursuing a professional career as a data scientist right away after obtaining your Master’s degree, you can opt to follow a PhD programme at Twente Graduate School (TGS). This involves spending four years studying a particular research area in-depth at one of our research institutes. Obtaining your PhD will earn you the title of Doctor (Dr).

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