Learning Outcomes

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Learning Outcomes


  • K1
    Recognize the basic principles of biology, from cellular to organism scale, and how these are related to current knowledge in the fields of bioinformatics, data analysis, and machine learning; thus achieving an interdisciplinary vision with special emphasis on biomedical applications.
  • K2
    Identify mathematical models and statistical and computational methods that allow for solving problems in the fields of molecular biology, genomics, medical research, and population genetics.
  • K3
    Identify the mathematical foundations, computational theories, algorithmic schemes and information organization principles applicable to the modeling of biological systems and to the efficient solution of bioinformatics problems through the design of computational tools.
  • K4
    Integrate the concepts offered by the most widely used programming languages in the field of Life Sciences to model and optimize data structures and build efficient algorithms, relating them to each other and to their application cases.
  • K5
    Identify the nature of the biological variables that need to be analyzed, as well as the mathematical models, algorithms, and statistical tests appropriate to develop and evaluate statistical analyses and computational tools.
  • K6
    Recognize the ethical problems that arise from advances in the knowledge and in the application of biological concepts and their computational processing.
  • K7
    Analyze the sources of scientific information, valid and reliable, to justify the state of the art of a bioinformatics problem and to be able to address its resolution.


  • S1
    Integrate omics and clinical data to gain a greater understanding and a better analysis of biological phenomena.
  • S2
    Computationally analyze DNA, RNA and protein sequences, including comparative genome analyses, using computation, mathematics and statistics as basic tools of bioinformatics.
  • S3
    Solve problems in the fields of molecular biology, genomics, medical research and population genetics by applying statistical and computational methods and mathematical models.
  • S4
    Develop specific tools that enable solving problems on the interpretation of biological and biomedical data, including complex visualizations.
  • S5
    Disseminate information, ideas, problems and solutions from bioinformatics and computational biology to a general audience.
  • S6
    Identify and interpret relevant data, within the area of study, to make judgments that include social, scientific or ethical reflections.
  • S7
    Implement programming methods and data analysis based on the development of working hypotheses within the area of study.
  • S8
    Make decisions, and defend them with arguments, in the resolution of problems in the areas of biology, as well as, within the appropriate fields, health sciences, computer sciences and experimental sciences.
  • S9
    Exploit biological and biomedical information to transform it into knowledge; in particular, extract and analyze information from databases to solve new biological and biomedical problems.
  • S10
    Use acquired knowledge and the skills of bioinformatics problem solving in new or unfamiliar environments within broader (or multidisciplinary) contexts related to bioinformatics and computational biology.


  • C1
    Apply knowledge in an integrated way in work or vocation in a professional manner and adopt behaviors in accordance with an ethical and responsible professional practice, taking into account the human and fundamental rights of people and respecting the principles of universal accessibility.
  • C2
    Identify the complexity of the economic and social phenomena typical of the welfare society and relate welfare to globalization, sustainability and climate change in order to use technique, technology, economy and sustainability in a balanced and compatible way.
  • C3
    Communicate orally and in writing with others in the English language about learning, thinking and decision making outcomes.
  • C4
    Work as a member of an interdisciplinary team, either as an additional member or performing managerial tasks, in order to contribute to the development of projects (including business or research) with pragmatism and a sense of responsibility and ethical principles, assuming commitments taking into account the available resources.
  • C5
    Unify the acquisition, structuring, analysis and visualization of data and information in the field of specialty, critically assessing the results of such management.
  • C6
    Detect deficiencies in the own knowledge and overcome them through critical reflection and the choice of the best action to expand this knowledge.
  • C7
    Detect, from within the scope of the degree, inequalities based on sex and gender in society; integrate the different needs and preferences based on sex and gender in the design of solutions and problem solving.
  • C8
    Work in the formulation, design and management of projects in the field of bioinformatics.