This Master's Degree provides the scientist with skills that will allow him/her not only to extract useful knowledge from the data, but also to interact with other professionals, since the science of data and bioinformatics frequently bring together experts from various fields in interdisciplinary work teams. These professionals, who will master several disciplines and levels of knowledge, combining a scientific background with fluency in data analysis and the use of available software tools, are considered one of the most sought-after profiles in both academic and business environments.
REASONS
A training is available at Master's Degree that will enable graduates:
Programming
Program with fluency in the most common languages in the science of data and bioinformatics (Python, R, Matlab).
Professional interaction
Work in multidisciplinary environments and interact with professionals from other fields.
Software
To know the most common software tools that can enhance the scientific method, including machine learning.
Computational methods
Intuit in what way and at what cost it may be advantageous to employ computational methods in real problems.
Analysis
Know how to analyze information to extract knowledge.
Other values
Value the use of information technologies with a critical spirit, including aspects such as ethics, sustainability or social impact.
Will you be able to work in...
The training that will be provided in this Master's Degree has a wide scope of application. Among the professional profiles for which this Master's Degree will be of great value are:
BIOINFORMATICS
Specialist in Bioinformatics, both in academia and industry, developing algorithms and computational models for research in life sciences, particularly in genomics, transcriptomics, proteomics and omics in general.
BIOSTATISTICS
Integrating in multidisciplinary teams in academic, pharmaceutical or health sciences environments.
COMPUTATIONAL BIOLOGY
SCIENTIST / ANALYST OF DATA
In industries and companies that require an interface between real problems and computational solutions, as well as in environments where big data management is required.
RESEARCHER
research in the pharmaceutical and biotechnology industry.
CLINICAL INFORMATICS
Sequencing, bioinformatics at internship clinical and research biomedical.
TECHNOLOGY COMPANIES
Especially in the pharmaceutical, biotechnology and agri-food fields.
DEGREE PROGRAM ACADEMICS
Many of the graduates will continue their training with a doctorate that will lead them to university or higher teaching .