With this specialisation you will easily find work as a data scientist.
In the specialisation Mathematics of Data Science you will deal with mathematical models and algorithms that can be used to analyse data, draw conclusions and make decisions. With this specialisation you will become an expert data scientist or a researcher who continues to push this field forward.
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, but how do you extract that information in such a way that you can actually put it to good use? In the specialisation Mathematics of Data Science (MDS) you will deal with mathematical models and machine learning algorithms that are essential for analysing data and thus providing a basis for evidence-based decisions in a wide variety of fields. You will learn how to use the underlying theory from, for instance, statistics, numerical analysis or graph theory, to optimally employ data science, but also to further develop the field into exciting new directions.
Read more about the Mathematics of Data Sciences courses and programme structure.
Collaborations
Data science is a multidisciplinary field. In this specialisation you will get many opportunities to 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 while simultaneously developing a fundamental view on data science. This is a perfect preparation for your subsequent professional career as a data scientist or researcher in the field.
Career opportunities
With this specialisation you will easily find work as a data scientist. As such you will help companies to collect and organise 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.
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.
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.
Artificial intelligence for health
If you are looking for a more applied approach to data science and are interested in learning how data science can fundamentally impact healthcare, you can choose to focus your specialisation on a specific profile: Artificial Intelligence for Health. Through diverse case studies, you will focus on interesting and relevant challenges within healthcare. You might focus on improving medical imaging techniques, building reliable algorithms for patient health prognosis, enhancing AI in wearables to monitor e.g. heart rates for heart patients, but also healthcare scheduling.
Continue as a researcher: obtain a PhD
Instead of pursuing a professional career as a data scientist right away after obtaining your master’s, 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).