LEARNING OUTCOMES 1.To have acquired advanced knowledge and demonstrated an understanding of the theoretical and practical aspects and methodology of work in their field of study to a depth that reaches the cutting edge of knowledge. 2.To have acquired advanced knowledge and demonstrated an understanding of the theoretical and practical aspects and methodology of workin their field of study to a depth that reaches the cutting edge of knowledge. 3.Have the ability to collect and interpret data and information on which to base their conclusions, including, when necessary and relevant, reflection on social, scientific or ethical issues in their field of study BASIC COMPETENCES 1.Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study. 2.Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. 3.Students have the ability to gather and interpret relevant data (usually within their field of study) in order to make judgements which include reflection on relevant social, scientific or ethical issues. 5.Students will have developed the learning skills necessary to undertake further study with a high degree of autonomy. GENERAL COMPETENCES 2.Efficiently manage a company's databases for statistical use. Adequately design the data acquisition process and its subsequent processing. 3.Describe a set of data from numerical measures and graphs, both at univariate and multivariate level, highlighting the possible relationships between the variables of interest. 4.Identify or create the appropriate model for the specific problem that arises in each business activity (finance, marketing, production planning and control, etc.). Computationally and analytically manipulate the models established, taking advantage of the power of statistical and optimisation methods, etc., and analyse the results obtained. 5.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 decision-makers. SPECIFIC COMPETENCES 1.Describe, synthesise and graphically represent a set of data. 2.Modelling and analysing both static and dynamic data using statistical techniques 3.Mathematically model and solve problems using stochastic models and Operations Research techniques. 4.Demonstrate basic knowledge of programming. Be able to use and develop statistical packages. 9.Developing, constructing and validating statistical models that reproduce the fundamental characteristics of the problems under analysis. TRANSVERSAL COMPETENCES 1.Knowing and being able to handle interpersonal skills on initiative and responsibility, negotiation, emotional intelligence, etc. as well as calculation tools that allow the consolidation of the basic technical skills required in any professional field. 2.Being able to establish good interpersonal communication and to work in multidisciplinary and international teams. 3. Being able to organise and plan their work, making the right decisions based on the information available, gathering and interpreting relevant data to make judgements and critical thinking within their area of study.