The BioS course integrates the latest advancements in the field of Computational Biology/Bioinformatics, that can be immediately applied in clinical environment.

The main aim of the course is to provide learners with skills which will enable understanding and utilization of large biomedical data sets, especially genomic sequence data, to enhance patient care through improved diagnostic sensitivity and more precise therapeutic targeting.

• Better understanding of and more confidence in data from modern-day high-throughput sequencing;
• Making more use of such data in clinical decision-making;
• Quicker and more relevant diagnoses of diseases with an assumed genetic component.

Recommended: part-time, asynchronous e-learning sessions;

The BioS curriculum is modular, based on the learning outcomes approach, and is in line with the European transparency instruments: EQF/ECVET/EQAVET.

• Module 1: Introduction to Bioinformatics, 4 credits
• Module 2: Computational Statistics for clinical doctors, 4 credits
• Module 3: Commercial personalised genomics services in patient care, 4 credits
• Module 4: Quality improvement in Healthcare, 2 credits

The BioS course is leading to EQF level 5.

It is commonly agreed that personalized medicine, driven by genomic sequencing of individuals, will transform medicine. There is great potential for genome sequencing to enhance patient care through improved diagnostic sensitivity and more precise therapeutic targeting [Ashley, EA. Towards precision medicine, Nature Reviews Genetics, 17, 507–522 (2016)].

This specialization enables the learner to get started with the use of genomic sequence data to enhance patient care through improved diagnostic sensitivity and more precise therapeutic targeting. These skills allow the learner to take up tasks related to analyses and interpretation of genomic sequence data, either as a doctor treating the patient or as a consulting professional.