BEC-55306 Big Data for Business Decisions


Credits 6.00

Teaching methodContact hours
Group work3
Independent study0
Course coordinator(s)dr. M van der Voort
Lecturer(s)dr. M van der Voort
prof. dr. ir. H Hogeveen
Examiner(s)dr. M van der Voort

Language of instruction:


Assumed knowledge on:

BEC-10306 Introduction to Business Economics and BEC-52306 Financial and Business Management or BEC-51806 Agricultural Business Economics.


The digital world is nowadays generating an unimaginable amount of data. With this so called Big Data, companies have more exact measurements for parameters that could not be measured before. The more data is available to a business the more information it has to go off when making major business decisions. Already a lot of ‘scientific’ work can be found and variety of (online) courses are available dealing with Big Data and how to transform this into information. However, what is the economic value of Big Data in for businesses? The goal of this course is to provide you with insight in the economic aspects of Big Data and how it can play a role in business decisions of firms in the food supply chain.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- identify the concepts of big data and the big data landscape in the food supply chain;
- recognize opportunities and challenges of big data along the food supply chain;
- explain the effects of big data in business decisions and economic research;
- identify different data analytical methods to turn data into insights and use the results to make business decisions;
- discuss the ethical issues in the big data landscape on data ownership and the governance of data sharing in the food supply chain;
- design a data driven business model that utilizes big data in business decision for a company in the food supply chain.


- lectures;|
- tutorials;
- group case study;
- self-study.


Final grading is based on an individual written exam (90%) and on group work assignments (10%).
For both elements a minimum pass mark of 5.5 is required.
The grade for the group work is valid for 2 years.


Will be made available during the course.