Big Data

Course code
Course fee (excl. housing)
Course Level

The digital universe is expanding continuously. This huge amount of information often referred to as big data have a huge potential to answer questions that could not be answered before. For example, in biomedical sciences, researchers increasingly make use of these Big Data, by pooling real-time data from multiple sources including electronic healthcare records in order to e.g. detect diseases at an early stage.

The summer school on big data will provide you with a sound introduction to this exciting new field in health research. Spanning topics such as:

  • Introduction to machine learning (ML)
  • Automated ML
  • Causal inference using big data and ML
  • Natural language processing
  • Data linkage

This will be embedded in medical research through numerous real-life examples and case-studies.

Course director
Prof. dr. F.W Asselbergs and Dr. Floriaan Schmidt

Target audience

The target group of this course includes advanced BSc and MSc students in biomedical sciences with a basic understanding of epidemiology and (medical) statistics.

A basics understanding of R or python programming languages is desirable; however self-study tutorials (~2 hours each) will be provided

Study load

Full time

Monday - Friday

10 - 17h


Course fee:
Fee covers
Course + course materials
Housing fee:
Housing cost
Housing provider:
Utrecht Summer School


For this course you are required to upload the following documents when applying:

Motivation Letter

Contact details

Educational Office Epidemiology | 


Application deadline: 
Registration deadline
01 August 2023