Happy or unhappy cow? Data Science takes us closer to animal welfare
Can we use artificial intelligence to help improve communication between humans and cows? Cengiz Cetinkaya thinks so and thus developed a machine learning model for real-time emotion prediction in his Data Science MSc programme at Lucerne University of Applied Sciences and Arts.
Shortcuts Master Data Science Programme Information:
Info-Events | Programme-Information | Contact | Professional Data Science Portraits
Cengiz Cetinkaya
Former HSLU Applied Information and Data Science student
Professor Mr. Peter Gloor, MIT Massachusetts (Boston) Institute of Technology:
Innovative Researcher, Scientist, Lecturer & Entrepreneur
Bridging hearts with Data Science: the happy animal revolution
Cengiz’s model aims to gauge bovine bliss levels by identifying anxiety and stress in real-time – using machine learning in images and videos to recognize whether a cow is happy or unhappy.
Artificial Intelligence helps him to rethink animal welfare. Will soon only happy cows graze on our pastures? Cengiz’s Master’s thesis takes us to a trough full of ideas for animal welfare.
A project is underway about launching a “Happy Cow” label that cattle breeders can use to groom the public’s perception of their operations.
And anyone wanting to learn more about their four-legged best friend’s mental state can use the “waggydog” app from the start-up FaunaAI. The first version of the app is for dogs, but prototypes for cows, horses and cats are already in the pipeline.
The app is already available for iOS and Android: Click here to download the app.
Info-Events
Start your career with the MSc in Applied Information and Data Science now!
Join one of our online Info-Events:
Monday, 10 August 2026 (Online, English)
Monday, 7 September 2026 (Online, German)
Monday, 5 October 2026 (Online, English)
Monday, 2 November 2026 (Online, English)
Friday, 27 November 2026 (Online, German)
Monday, 11 January 2026 (Online, English)
Programme Information | Contact | Info-Events
Interested in the MSc in Applied Information and Data Science?
Visit our Info-Events. We look forward to meeting you!
Please contact us if you have any questions about your studies:
Tel.: +41 41 228 41 30
Email: master.ids@hslu.ch
Further links to the programme:
→ Generalist profile
→ Career profiles and study insights
→ Our Lecturers
→ Course structure and modules
→ Working and studying
→ Admission and registration
→ FAQ
