Second cycle degree in

Quantitative and Computational Biosciences

Class: LM-6 R -

y2024 WUR Subject Biological Sciences badge 150
Class LM-6 R -
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Access Open access with admission requirements

Call for applications - A.Y. 2025/26

With the steady advancement of computational and analytical tools, all branches of Biological sciences are being swamped with a deluge of data that is calling out for analyst professionals. The QuaCBio Master’s degree combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatic trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists.

The QuaCBio Master’s degree, which will be delivered entirely in English and with a blended modality, combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatic trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists. Graduates work as Bioinformaticians, Data Scientists within the Biology realm, Big Data and Complex system analysts, Developer of novel analytical methods in Biology.

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Characteristics and objectives
With the steady advancement of computational and analytical tools, all branches of Biological sciences are being swamped with a deluge of data that is calling out for analyst professionals. The QuaCBio Master's degree combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatic trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists.

Occupational opportunities
Graduates work as Bioinformaticians, Data Scientists within the Biology realm, Big Data and Complex system analysts, Developer of novel analytical methods in Biology.