The requirements for the master’s degree are designed with a balanced emphasis on both basic science (biology and biochemistry) and computing, with a special focus on the programming skills most needed in today’s pharmaceutical and biotechnology industries and machine learning.

The degree program can be completed by students with a basic background in mathematics and statistics. We welcome students with both a biological or computational track.

Prospective students will learn to tackle computational biology problems in a scientific, evidence-based manner and gain experience working in a true multidisciplinary mindset. During the training, students will be taught relevant theoretical and methodological concepts in areas ranging from:

• Mathematical and computational methods in computational biology and bioinformatics;
• Advanced machine learning, optimization, and algorithms;
• Analytics and interpretation of large datasets coming from high-throughput technologies (“omics” data);
• Fundamental aspects of cell biology.

There is a growing need and job market for bioinformatics scientists, specialists, and analysts or data scientists in academic (Ph.D. programs in bioinformatics, biophysics, systems biology) and research institutions as well as pharma companies, software companies, hospitals, forensic departments, diagnosis companies (Human genomics, Personalized and precision medicine, Cancer systems biology, Metagenomics, Bioengineering).