University Master's Degree in Research and Innovation in Computer based Science and Engineering

Emerging technologies in advanced computing make up a strategic element for approaching the challenges in future societies in social, scientific and industrial contexts

Content Official Master's Degree in Research and Innovation in Computer based Science and Engineering

Knowledge

  • Describe the basic principles underlying advanced computational methods and algorithms.
  • Describe how application development software that uses advanced computing systems works and how it is mainly used.
  • Identify the key elements, methods, tools and systems that are best suited to solving a range of problems using advanced computational techniques.
  • Identify gender stereotypes and roles and their possible impact on professional practice.

Skills

  • Design complex computer applications and systems for problem solving in new environments and in potentially large-scope or multidisciplinary contexts, whilst taking into account requirements related to sustainability or energy efficiency.
  • Understand how to use the techniques, tools, algorithms and mechanisms used in advanced computing systems for specific purposes in the fields of science and engineering.
  • Critically analyse the principles, values and procedures that govern the practice of the profession.
  • Select suitable information sources from scientific literature using the appropriate channels, then integrate this information using synthesis and debate skills and analysing any viable alternatives.
  • Verbally communicate the results of one's own work, including conclusions, knowledge and a rationale that supports them to both specialised and non-specialised audiences in a clear, concise and unambiguous way.
  • Plan different activities involved in completing a given task within a working group and appropriately manage time and resources.
  • Work as part of a mixed team that includes supervisors and both specialist and non-specialist members.

Competences

  • At the end of the master's degree, students will be able to design innovation and research projects that require theoretical models, techniques and advanced computational tools.
  • At the end of the master's degree, students will be able to apply circular economy and sustainability principles to software-based projects.
  • At the end of the master's degree, students will be able to apply techniques based on advanced computer systems to complex problems in a range of fields in science and engineering. 
  • At the end of the master's degree, students will be able to generate questions and hypotheses in the face of new research challenges and demonstrate originality in the way they approach and solve problems using advanced computational techniques.