PhD in Data Science In Medicine (DASME)

The DASME PhD Programme tackles crucial challenges that lie at the intersection of life sciences and scientific/clinical research training. Courses are delivered entirely in English, attracting a diverse student body and faculty. This cross-pollination of ideas and expertise creates a dynamic learning atmosphere where students benefit from a wider range of perspectives.

This program addresses the growing need for big data analysis skills, a critical area that is revolutionizing all aspects of life sciences research. Through rigorous coursework, students delve into the world of powerful algorithms, learning to harness their capabilities to identify hidden patterns within massive datasets. This newfound expertise equips them to undertake groundbreaking research in medicine, where the ability to predict clinical responses based on complex data analysis is paramount.

Beyond the core curriculum, the DASME PhD Programme offers training on a comprehensive suite of cutting-edge technologies. Students can gain proficiency in omics techniques, bioinformatics tools, advanced imaging methods, sequencing technologies, and flow cytometry. This foundation prepares them to tackle complex research questions at the forefront of data-driven life sciences. To further enrich the learning experience, the program features a seminar series led by prestigious visiting professors and guest lecturers.

Finally, DASME fosters a stimulating learning environment. Students can engage in interdisciplinary exchanges, and are encouraged to develop independent research skills and pursue training abroad. This comprehensive program prepares graduates to become future leaders in data-driven life sciences research.

Career Opportunities

The objective of this PhD programme is to train experts in basic, clinical and industrial research so that they can pursue a career in research, clinical or academic fields. In particular, for non-medical PhDs, the best job opportunities will be in biotechnology and bioinformatics companies, in public and private research sectors, and in academia. In this context, the interdisciplinary nature of their training will help them to rapidly transfer new knowledge from basic science to bio-medicine and clinical practice in order to generate new advanced diagnostic and therapeutic applications in the field of precision medicine. The best job opportunities for those who carry out clinical activities will be in research, in clinical settings or in academia, in particular in clinical facilities involved in research and training where they can contribute to the development of leading clinical research teams in their fields of specialisation. The strongly international and interdisciplinary approach of the PhD course will give students the opportunity to establish themselves in positions with a worldwide perspective.