Enhance your expertise in food quality with our comprehensive online course in predicting food quality. Designed for professionals in the food industry, this part-time program combines quantitative analysis and modelling, empowering you to strengthen your knowledge and advance your career.
Registration deadline: 30 September 2024
Exam date: 20 December 2024
Please note that the dates for the academic year of 2024-2025 are yet to be confirmed, so they might still change.
Why follow this course?
The aim of this online master's course, Predicting Food Quality - Solving Food Science Problems by Modelling, is to provide you with the necessary tools and skills to analyse, evaluate, and solve problems related to food quality. Through mathematical modelling and integration of knowledge from various food science disciplines, you will learn to predict the quality attributes of foods and understand the uncertainties involved. This course equips you with essential skills for modern product and process design in the food industry, enabling you to respond effectively to changing demands in the market.
Programme & topics
The online master's course consists of online knowledge clips, tutorials and feedback clips. Furthermore, it includes guided practical training on applying Excel models and case studies to use modelling for food science problems from the literature. Information will be made available via Brightspace. A textbook is available for additional background reading. Still, buying the book is unnecessary (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.
- Deduce models, parameters and model predictions and their uncertainties;
- Assess competing models on their ability to predict.
- Appraise models on food quality that are applied in food science literature.
Upon completing two or more online master's courses, you can apply what you have learned through a tailor-made capstone project. Collaborate with a Wageningen expert in the field to conduct research and write a short paper presenting your results and conclusions. You will receive expert guidance throughout this project to enhance your learning experience. Price: €1,230,-.
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 20-12-2024 (20 December 2024).
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.
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.
Other courses are also interesting when you want to learn more about food processing! You can deepen your knowledge in a specific career field without completing a master's programme. You can register for any combination, but these are our suggestions:
More information & registration
Register for Predicting Food Quality - Solving Food Science Problems by Modelling or download the flyer.