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CE2 |
CE2. Recognize and distinguish the structure of the different types of data generated in the clinical environment, their main characteristics, their quality, the basic methods for their processing, as well as the ethical, regulatory, privacy and confidentiality aspects that govern their management and analysis |
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CE4 |
CE4. Manage and implement statistical, machine learning and visualization techniques to extract information from health data and critically evaluate the results obtained from them. |
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CE6 |
CE6. Design, manage and run health data science projects, leading their start-up, their continuous improvement and assessing their social and economic impact |
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CE8 |
CE8. Present, defend and evaluate an original work carried out individually in front of a panel of experts, consisting of a data science project applied to the field of health in which the knowledge and skills acquired throughout the master's degree are synthesized. |
Type B
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Code |
Competences Transversal |
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CT1 |
Become sufficiently independent to work on research projects and scientific or technological collaborations within their thematic area |
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CT2 |
Forming opinions on the basis of the efficient management and use of information |
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CT3 |
Solve complex problems critically, creatively and innovatively in a particular discipline. |
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CT4 |
Work independently and as part of a team with responsibility and initiative |
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CT5 |
Communicate complex ideas effectively to all sorts of audiences. Written communication |
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CT6 |
Develop abilities to manage a professional career |
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CT7 |
Apply ethical principles and social responsibility as a citizen and a professional |
Type C
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Code |
Competences Nuclear |