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Master's Degree in Bioinformatics

Specialised training with high employability.

Starts on 01/10/2026
request INFORMATION
Un profesional médico observa imágenes de un cerebro en una pantalla.
  • Campus
    Nebrija Global Campus
  • Modality
    Online
  • Languages
    Spanish
  • Credits
    60 ECTS
  • Duration
    1 COURSE
  • Curriculum specialised in the analysis of data generated by the new 'omics' technologies

    Bioinformatics is one of the scientific disciplines that has gained most prominence and projection in recent years, especially after the pandemic generated by COVID-19, thanks to the research, development and application of computer and computational tools to enable and improve the management of biological data.

    As a recently created discipline, there is a growing demand for specialised professional profiles. This Master's Degree was created in response to this business need to train bioinformatics students who will lead the field in the future.

    The main purpose of the degree is to offer students highly specialised, top-level training, both theoretical and applied, to effectively address the growing demand for computer scientists specialised in the management and analysis of clinical data and with the ability to generate computational models.

    Training objectives

    • To provide a detailed knowledge of the mathematical and statistical foundations of the models commonly used in the field of medical data science.
    • To train students in the state-of-the-art programming tools used in data science, especially those used in omics techniques.
    • To provide students with the specific knowledge, skills and competences to understand and design Machine Learning and Deep Learning algorithms.
    • To be able to understand the existing technologies and tools for the acquisition, storage and processing of massive data in healthcare platforms.
    • Know the main clinical applications where these data science and engineering techniques are being applied, with the aim of understanding the basic needs and being able to add value to this process.
    • To be able to model biological systems computationally in order to obtain predictions and inferences at a theoretical level.
    gregorio-rodriguez-boto.jpeg
    Gregorio Rodríguez-Boto
    Dean of the Faculty of Medicine and Health Sciences

    "Our Faculty of Medicine and Health Sciences is a benchmark in the comprehensive training of doctors, biomedical engineers and bioinformaticians, preparing them to face the challenges of a sector in constant evolution."

    University Master's Degree with high employability

    Specialised training in new technologies

    The curriculum is designed to provide students with knowledge of machine learning, deep learning or the application of medical data science.

    Teaching staff of excellence_.

    You will learn alongside a teaching staff of excellence, with experience in the field of new technologies and bioinformatics.

    Professional internships

    The best companies and institutions show their support for the programme by offering internships to our students.

    Specialised training in new technologies

    The curriculum is designed to provide students with knowledge of machine learning, deep learning or the application of medical data science.

    Teaching staff of excellence_.

    You will learn alongside a teaching staff of excellence, with experience in the field of new technologies and bioinformatics.

    Professional internships

    The best companies and institutions show their support for the programme by offering internships to our students.

    Syllabus

    The student must take 60 credits

  • Teachers

    Professors: 50

    Percentage of PhDs: 27%.

    Academic Information

    Quality

    Official qualification: Master's Degree in Bioinformatics

    Faculty or school responsible: Faculty of Medicine and Health Sciences

    Branch of knowledge: Engineering and Architecture

    Number of places available: 35

    Type of course: Distance learning

    Languages: Spanish

    Duration: 1 year. From September to June.

    Credits: 60 credits.
    Minimum 30 ECTS and maximum 60 ECTS per enrolment and academic period.

    Start your admission process

    Further information

    Employability

    Career opportunities

    At the end of the Master's Degree in Bioinformatics at Nebrija University, graduates should have the ability to apply the knowledge they have acquired during their training in the professional field, being able to carry out their professional work in the field of biomedical research, being applicable to clinical, academic and research levels.

    Consultant for companies, pharmaceutical companies, hospitals and research centres.

    Teacher in Specific Vocational Training Centres, Schools, University Centres, etc.

    Researcher in biotechnology companies, start-up companies, pharmaceutical, chemical or biocomputing laboratories, as well as in hospital research departments, in the food sector and, above all, in the analysis of genetic and genomic data.

    Developer of technological solutions for the biomedical sector.

    Consultant for companies, pharmaceutical companies, hospitals and research centres.

    Teacher in Specific Vocational Training Centres, Schools, University Centres, etc.

    Researcher in biotechnology companies, start-up companies, pharmaceutical, chemical or biocomputing laboratories, as well as in hospital research departments, in the food sector and, above all, in the analysis of genetic and genomic data.

    Developer of technological solutions for the biomedical sector.

    92%

    Employability

    Nº2

    In Teaching
    Spanish universities (U-Ranking)

    +70

    Nationalities
    Annually on our Campus

    Top5

    Private university
    Forbes University Rankings

    Internships

    This Master's Degree has collaboration agreements for professional internships with some of the best companies and institutions in the sector, among which the following stand out:

    Logo de una empresa de soluciones en bioinformática.
    Logotipo de la marca Nanozoo en color rosa.
    Logotipo de Val Genetics, una empresa de biotecnología verde.
    Logotipo de la compañía Moderna con un diseño sencillo y moderno.
    Logo de la empresa farmacéutica Pfizer.

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