Bachelor's Degree in Applied Statistics

Knowledge

• Identify the mathematical, statistical, and computer tools present in the statistical methods used in data analysis.
• Recognize the presence of random phenomena present in various disciplines where the application of statistical methods is necessary.
• Recognize the theoretical and methodological aspects of statistics to use them in data analysis.
• Identify statistical inference methods as a forecasting and prediction instrument.
• Identify the usefulness and potential of the statistical knowledge acquired in the different areas of application.
• To describe the socio-economic, environmental and cultural progress of society brought about by research and innovation in the field of statistics.
• Identify the ethical implications of aspects related to statistical analysis, including study design, data collection and analysis.

Skills

• Analyse data of various types through the application of statistical methods and techniques. 
• Select the appropriate sources and techniques for data acquisition and management for statistical processing.
• Select the appropriate mathematical tools for the study of the theoretical and practical aspects of probability, statistics and machine learning.
• Select statistical models or techniques for application in studies and real problems.
• Use computer software for numerical calculation, symbolism, graphical visualization, optimization and statistical analysis to solve problems.
• Properly apply statistical tools to draw relevant conclusions in the different areas of application.
• Properly use statistical model validation tools.
• Interpret the results of statistical work within the context of specific applications.
• Extract relevant information from books, articles and other bibliographic media in the field of statistics and its applications.
• Communicate appropriately, orally or in writing, the conclusions of a data analysis, both to specialized and non-specialized audiences.

Competences

• Interpret the results of statistical studies to draw conclusions leading to the preparation of technical reports in the field of statistics and its professional applications.
• Design a statistical study to solve a real problem.
• Formulate statistical hypotheses, developing strategies to confirm or refute them.
• To create statistical tools to solve non-standard problems in the different areas of knowledge in order to provide innovative responses to the needs and demands of society.
• Properly apply known statistical tools to draw relevant conclusions in the field of statistical data analysis in the professional field.
• Validate the statistical studies used in the resolution of real problems.
• Evaluate the ethical, economic and/or social responsibilities of the results in the statistical studies carried out.
• To assess, through data analysis, the existence of inequalities on the basis of sex/gender in different areas of statistical applications.