How to become a Data Scientist?

A Data Scientist is a domain specialist with a specific knowledge and skills needed to manage, analyse, and extract actionable knowledge from domain specific (big) data. McKinsey Global Institute predicts extremely high demand for elite data scientist professionals in the coming years. This is due to fast growing number of available data, emergence of modern data processing and analysis techniques and growing interest of research and industry to utilize the potential of big data.

What are the data scientist competences at WUR?

  • Data science analytics including statistical analysis, machine learning, data mining and business analytics skills.
  • Data science engineering including software and applications engineering, data warehousing, big data infrastructure and tools and models development.
  • Data management and governance including data stewardship, curation, preservation, ethics and data privacy aspects.
  • Strong domain expertise and research methods knowledge in e.g. plant, animal, agri-food, environmental and social sciences (or business processes management, project management).
    Data science education traject

    How to specialize in data science at WUR?

    The students who follow BSc and/or MSc programmes have various possibilities to extend their knowledge or specialize in data science. During the BSc programmes the students can choose for BSc minor of Data Science where they learn the basics of data science. Both in the bachelor and master program the students can also select one or more free choice courses related to data science. In some of the master programs it is already possible to follow a dedicated tracks which focus on data science skills in a specific domain. There is also a possibility to use online courses or other materials on data science. We recommend to discuss those possibilities with the study advisors of dedicated programmes or contact WDCC for more information and possibilities.