MSc Degree in Computational Biology
Name of the MSc Degree | Responsible Centre | Establishment |
MSc Degree in Computational Biology - UPM | E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas E.T.S. de Ingenieros Informáticos |
E.T.S. de Ingenieros Informáticos |
Branch | Area | Orientation |
Sciences | Biotech | Professional/ Research |
Credits | Duration | Education |
60 ECTS | Two semesters (September - July) | Attendance-based |
Number of places | Language: | The academic year when it was implemented |
30 | English (The subjects will be taught in Spanish if all the students are Spanish-speaking) | 2018-19 |
Find out more | Contact details | Pre-registration |
http://www.dia.fi.upm.es/masterbc/ | Click here | Click here |
Why studying this Master Degree?
Both the scientific community and the pharmaceutical-biotech business are increasingly aware of the huge advantages in applying bio-computing tools to its research and production chains. As a consequence, today there is a great demand for professionals trained in Computational Biology.
The ‘Universidad Politécnica de Madrid (UPM)’ has wide experience in these knowledge areas: Computer Science and Biological Sciences, both from an educational and an applied point of view.
The University Master Degree in Computational Biology assembles all this experience in order to bring to their students closer to the knowledge of UPM professionals, whose work has an international prestige.
Goals
This Master Degree aims to train professionals who are capable of understanding the biological problems they face, both in a business and in an academic context, providing the most appropriate bio-computing solution. The Master has an academic, scientific and professional orientation, thus more than 20 ECTS credits of practices are included in its program. The training will set the ground to the subsequent achievement of the Doctor Degree or to the Graduate incorporation to the professional activity.
Target group:
The University Master Degree in Computational Biology is aimed both at Graduates in Experimental Sciences who want to further their regular training, by expanding their knowledge in the area of computing, and at Computer Engineers who want to be trained in Bioinformatics.
Admission Criteria |
Competences |
Training structure
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Learning guides |
Teaching Programme - Academic Year 2022/23 |
Faculty |
Mobility |
Curricular Internships |
Outcome Report |