Online
Master's Course Predicting Food Quality - Theoretical Principles of Modelling
Enhance your expertise in food quality with our comprehensive online master's course. Join us to explore the principles of quantitative research and modelling in predicting food quality. This online master's in quality food research is a part-time program. In that way, you can combine study and work, providing valuable insights into the intricacies of food quality while enhancing your career prospects.
Please note that the dates for the academic year of 2024-2025 are yet to be confirmed, so they might still change.
Registration deadline: 14 October 2024
Exam date: 22 November 2024
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.
Capstone project
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,-.
Examination
Participation in the remote proctored exam is optional. If you decide not to participate in the exam, you do not qualify for a certificate and/or Micro-credentials. The certificate is included in the course price. The date of examination is 22/11/2024 (22 november 2024).
Practical information
Level of knowledge
To be able to participate in the course, you are expected to have at least a BSc level of education in Food Science and Technology or a related field, such as Chemical Engineering or Biotechnology.
English proficiency
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.
Micro-credentials and Edubadge
Upon successful completion, a digital Micro-credentials scertificate (EduBadge) with 3 study credits (ECTS) is issued.
The EduBadge certifies the learning outcomes of short-term learning experiences, marking the quality of a course. More information can be found here.
Combining courses
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
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