Degrees
Bachelor's Degree in Bioinformatics - UAB/UPC/UB/UPF New

Study plan Bachelor's Degree in Bioinformatics - UAB/UPC/UB/UPF

Specific skills

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Knowledge

  • Recognise the basic principles of biology, from cell to organism scale, and how these relate to current knowledge in the fields of bioinformatics, data analysis and automatic learning achieving an interdisciplinary vision with special emphasis on biomedical applications.
  • Identify statistical and computational methods and mathematical models that allow problem-solving in the fields of molecular biology, genomics, medical research and population genetics.
  • Identify basic mathematical principles, computer theories, algorithmic schemes and principles for organising information applicable to the modelling of biological systems and the efficient resolution of bioinformatics problems through the design of computational tools.
  • Integrate the concepts offered by the programming languages of greatest use in the field of life sciences to model and optimise data structures and build efficient algorithms, relating them to each other and to the cases to which they are applied.
  • Identify the nature of the biological variables to be analysed, as well as the mathematical models, algorithms and appropriate statistical tests to develop and evaluate statistical analyses and computational tools.
  • Recognise the ethical problems that lead to progress in the knowledge and application of biological concepts and their computational process.
  • Analyse valid and reliable sources of scientific information to substantiate the state of the question of a bioinformatics problem and be able to address its resolution.
  • Integrate omics and clinical data to obtain a greater understanding and better analysis of biological phenomena.

Skills

  • Integrate omics and clinical data to obtain a greater understanding and better analysis of biological phenomena.
    Computationally analyse DNA, RNA and protein sequences, including comparative genome analysis, using computing, mathematics and statistics as basic tools in bioinformatics.
  • Solve problems in the fields of molecular biology, genomics, medical research and population genetics through the application of statistical and computational methods and mathematical models.
  • Develop specific tools that allow the resolution of problems in the interpretation of biological and biomedical data, including complex visualisations.
  • Disseminate information, ideas, problems and solutions from bioinformatics and computational biology to a general public.
  • Identify and interpret relevant data, within the area of study, to issue judgments that include social, scientific or ethical reflections.
  • Implement methods of programming and analysis focussed from project hypotheses, within the area of study.
  • Make confident decision 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 science and experimental sciences.
  • Use biological and biomedical information to turn it into knowledge; in particular, extract and analyse information from databases to solve new biological and biomedical problems.
  • Use the acquired knowledge and ability to solve bioinformatics problems in new or little-known environments within broader (or multidisciplinary) contexts related to bioinformatics and computational biology.

Competences

  • Apply knowledge in an integrated way in work in a professional manner and adopt behaviours in accordance with ethical and responsible professional practice, taking into account the human and fundamental rights of people and respecting the principles of universal accessibility.
  • Identify the complexity of the economic and social phenomena typical of the welfare society and relate well-being to globalisation, sustainability and climate change to use techniques, technology, economy and sustainability in a balanced and compatible way.
  • Communicate orally and in writing with other people, in English, the results of learning, thinking and decision-making.
  • Work as part of an interdisciplinary team, either as a member or a leader, in order to contribute to the development of projects (including business or research) with pragmatism and sense of responsibility and ethical principles, assuming commitments while taking into account the available resources.
  • Unify the acquisition, structuring, analysis and visualisation of data and information in the field of specialisation, critically assessing the results of this management.
  • Detect gaps in one's own knowledge and overcome them through critical reflection and choice of the best action to expand this knowledge.
  • Detect inequalities based on sex and gender in society within the field of the degree.
  • Integrate the different needs and preferences based on sex and gender in the design of solutions and problem solving.
  • Work in the formulation, design and management of projects in the field of bioinformatics.