Checking date: 01/04/2024

Course: 2024/2025

Business Intelligence
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)

Coordinating teacher: JIMENEZ RECAREDO, RAUL JOSE

Department assigned to the subject: Statistics Department

Type: Electives
ECTS Credits: 3.0 ECTS


Understand what Business Analytics is, studying its main tools and their application to different case studies.
Skills and learning outcomes
Description of contents: programme
Introduction to business analytics. Descriptive analytics: Statistical models of business intelligence. Data visualization and warehousing. Predictive analytics: Data mining. Machine learning predictive models. Web and social network analysis. Prescriptive Analytics: Simulation and optimization for decision making. Big data: Concepts and tools. Application examples: From the business case to the case study.
Learning activities and methodology
Teaching presentations accompanied by electronic material, such as digital presentations e-learning activities Theoretical-practical lessons, synchronous teaching tutorials Team work Individual student work Home works and
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment

The course syllabus may change due academic events or other reasons.