Why this programme?
- Interdisciplinary programme which integrates data science knowledge and skills with a sound understanding of nutrition, consumer behaviour and lifestyles, and their effects on human health.
- Learn to translate raw data from diverse sources into intelligible and actionable knowledge, using smart data processing and analytical methods.
- Explicit attention for interdisciplinary skills needed to perform a bridging role between various stakeholders.
- Personal leadership: students need to design and plan their individual learning pathway during their studies and will learn how to give direction to their personal and professional development.
Study programme of MSc Data Science for Food and Health
The Master's programme in Data Science for Food and Health will train ‘bridge builders’ who specialise in applying statistical and analytical instruments to Wageningen domains such as Human Health and Nutrition, Consumption and Healthy Lifestyles, and Marketing and Consumer Behaviour.
On the Programme of Data Science for Food and Health page you can find the general outline of the programme and more detailed information about courses, internship and thesis.
The Data Science for Food and Health programme contains four learning trajectories. Here you can read more about these trajectories.
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Application and admission
Interested in taking part in the programme of Data Science for Food and Health? Find out more about the specific Admission requirements and the application procedures.
The best way to get to know a place is by getting to know the people. Students share their experiences with you about the master's programme and student life in Wageningen on the page Student experiences.
What are your possibilities after graduating? Read more about Career perspectives and opportunities after finishing the programme.
This programme is currently being assessed by the NVAO and is expected to be registered in CROHO by early 2022. The programme will then start in August/September 2022.