Master's Course Predicting Food Quality - Theoretical Principles of Modelling
Are you a professional in the food industry and do you want to strengthen your expertise and knowledge about food quality?
In this online master's course you will study quantitative analysis of food quality and modelling. Since this online course is part-time, you will be able to combine study and work and enhance your career.
Why follow this course?
The aim of the online master's course Predicting Food Quality - Theoretical Principles of Modelling is to provide quantitative modelling tools to predict quality attributes of foods as well as the uncertainties therein. Such a tool is necessary for modern product and process design in the food industry to be able to respond quickly to changing demands in the market. The online master's course integrates knowledge from the various food science disciplines to make quantitative predictions for quality attributes of foods. The basic theoretical principles and tools are taught and practiced in this course.
Programme & topics
The online master's course consists of online knowledge clips, tutorials and feedback clips. Furthermore it includes guided practical training on modelling using Excel. Information will be made available via Brightspace. A textbook is available for additional background reading, but it is not necessary to buy the textbook (M.A.J.S. van Boekel, Kinetic modelling of reactions in foods. CRC/Taylor & Francis, Boca Raton, 2008).
What you'll learn
- Explain and infer the nature of food quality attributes in relation to food quality.
- Classify and infer food quality attribute changes from thermodynamic and kinetic principles.
- Calculate uncertainties in parameters and predictions in case of kinetic models.
- Practice with the nature and properties of mathematical equations relevant for food quality.
- Assess competing models on their ability to predict.
After completion of two or more online master's courses there is a unique opportunity to apply what you have learned. You can start a capstone project in consultation with a Wageningen expert in the field. It is a tailor-made project, where you will write a short paper about your results and conclusions. During this work you will be coached by the expert. Price: €1,230,-.
You can complete the online master's course(s) with an exam (not obligatory). If you don’t complete the course with an exam or if you do not pass the exam successfully, you can ask for a certificate of attendance. When you successfully complete the course and the exam, you are entitled to a certificate of successful completion. The certificate is included in the course price. The date of examination is 23/11/2023.
The deadline for registration of this online master's course is 2 weeks before the start date. If you register less than 2 weeks before the start date, we will do our best to get you enrolled in the course(s) to which you registered before the start date of the course, but we can’t guarantee a timely start. Please contact the course coordinator for more information via the contact form.
Level of knowledge
Admission to the course requires a level of education in Food Science and Technology or related, such as Chemical Engineering, Biotechnology. Relevant work experience can be considered.
The language of instruction of this course is in English. Admission to the course requires a level of English as defined at the website for Dutch nationals, EU nationals or nationals outside EU/EFTA respectively.
After completing this course you may receive micro-credentials. Micro-credentials certify the learning outcomes of short-term learning experiences, marking the quality of a course.
When you want to learn more about food processing, other online master's courses are interesting for you too! You can deepen your knowledge in a specific career field, without following a complete master's programme. You can register for any combination, but these are our suggestions:
- Predicting Food Quality - Solving Food Science Problems by Modelling (strongly recommended)
- Sustainable Food and Bioprocessing - Flow and Pinch Analysis
- Sustainable Food and Bioprocessing - Exergy Analysis