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Degree number of credits: 90

Compulsory credits: 72

Final project: 12

Work placements/Internships: 6

Degree code: 2002

Years: 2

Teaching type: Presencial

Master degree website:

Places available for new students: 30

Minimum number of enrolment credits per student: 36

Management Centre: Faculty of Mathematical Sciences

Languages used in class: Spanish

Participating Universities: University of Valencia

Academic Coordinating Committee: Anabel Forte Deltell (Director)
David Valentín Conesa Guillén
Ana Corberán Vallet
Antonio López-Quílez
Miguel Ángel Martínez Beneito
Francisco José Santonja Gómez
Josep I. Carpio i Espí (PAS)

Academic, scientific or professional interest: The Master’s Degree in Biostatistics has the goal to adapt the academic offer to the professional trends of the labour market regarding research in Epidemiology, Clinical and Pharmaceutical Research, and in Environmental and Natural Systems Research, regarding the gathering of professionals trained for the treatment and analysis of the available information in the research experiments carried out in any Biostatistics branch. The purpose of the degree is not only to produce experts in diverse statistical analysis techniques and procedures, but to train statistical professionals, experienced in information analysis. The Master’s Degree in Biostatistics is set out as a natural continuation of professional specialization and training of researchers in three very specific areas which are Epidemiology, clinical and pharmaceutical research and Environmental research. In these three areas, the special supply of epidemiologists, clinical analysts and environmental researchers came from specific degrees related to Biology, Medicine, Pharmacy and Environmental Sciences respectively. However, in the face of the vertiginous rhythm of research in all of them, the need for experts that not only have the knowledge and skills typical of what the degrees provide, but that receive training complements related to Statistical Modelling and advanced forecasting techniques has been increasing. These knowledge and skills are essential to guarantee a rigorous and acceptable planning of their experiments and researches, as well as a profitable treatment of the obtained information.

PhD programme linked to this Master’s programme: Statistics and Optimisation

Pre-enrolment information: Student Information Service

Academic information: