Applied Mathematics/Data Science

Would you like to help organisations to solve their hardest problems? Do you like to puzzle with data and look for patterns? Then the Data Science track of Applied Mathematics is the place for you!
This programme prepares you to become a Data Scientist with a focus on applications in Logistics and Engineering. You could work for example on the most efficient route for a delivery service of a (web)shop or supermarket, a dashboard for a theme park with expected waiting times, a prediction of the number of returns for a clothing brand or a model to plan replacement of airplane parts to avoid problems while flying.
Artificial Intelligence is a common theme within the whole programme. It is a combination of mathematics, statistics and logic that helps to take quick, smart and personalised decisions. Voice recognition, movie suggestions on Netflix and self-driving cars are examples of technical developments with artificial intelligence.
Why study Applied Mathematics/Data Science at Fontys?
- Small educational groups and lots of personal contact with teachers;
- Multiple challenging projects per year for real companies in the Brainport region, the technical development region around Eindhoven;
- Three internships to apply your knowledge at different companies, to explore the labour market and to gain work experience;
- Teachers from the industry with more than 25 years of experience in data science;
- The programme combines both practical and theoretical sides of data science.
You should study these subjects at highest level in school:
- Mathematics
- Physics
After the programme, you will be ready for the labour market. You will be able to study mathematical models of technical systems, to collect and process data in business processes or to tackle logistical problems.
You can work in various fields and positions like for example:
- Data analyst at a Railway or Transport company
- Logistics specialist at a distribution centre of a webshop
- Data Scientist at a theme park
- Business analyst at a healthcare institution
- Data Engineer at an engineering company