K2: Know basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile.
K5: Mathematically model and Know the mathematical foundations that allow solving problems using stochastic models and Operations Research techniques
C1: Develop and master interpersonal skills on initiative, responsibility, conflict resolution and negotiation, which are essential in the professional environment.
C4: Ability to develop and validate statistical models that help to address and solve problems relevant to today's society.
C5: Ability to analyze, formulate and defend individually a problem and its solution in the disciplinary field of Statistics and Data Science, applying the knowledge, skills, tools and strategies acquired or developed in the degree.
C6: Ability to interpret the results of quantitative analysis, prepare clear reports and communicate conclusions effectively, using advanced data analysis tools.
S1: To plan and organize team work making the right decisions based on available information and gathering data in digital environments.
S2: To use information interpreting relevant data avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to assess the reliability and quality of such information.
S3: e able to dedicate themselves to autonomous long-life learning, that enables them to adapt to new situations
S6: Communicate the results, the conclusions of the models and the proposed solutions in a way that is intelligible to the rest of the company, so that they are accepted and implemented by the decision-makers