Competencies and objectives

 

Course context for academic year 2025-26

This course covers the collection, management, and analysis of large volumes of data ("big data") using models aimed at supporting business decision-making. To achieve this, students will develop the ability to use a set of statistical tools and rely on specialized software for these activities, enabling them to produce highly useful analyses and results.

The course will have a practical orientation. It will address the three main challenges of business data analysis: knowing what data to collect (from official and accounting records, surveys, social media, purchase histories and inventories, market quotes, etc.), knowing how to analyze and extract insights from that data, and knowing how to generate valuable ideas from this information (e.g., to acquire, retain, and build customer loyalty).

Throughout the course, real-world cases will be reviewed in which these strategies have been applied in the fields of Economics, Finance, Marketing, and other business areas. In this way, students will understand the importance of data analysis in today’s world to support decision-making in both daily life and the professional sphere. They will also become aware not only of the tremendous growth of this field in recent years but also of its great potential and opportunities in the near future.

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

General Competences (CG)

  • CG1 : Capacity to find and analyse information.
  • CG4 : Apply professional criteria based on the use of technical instruments to analyse problems.
  • CG5 : Capacity to take decisions by applying acquired knowledge to practical situations.
  • CG6 : Obtain important information that is impossible for non-professionals to recognise from the data.
  • CG8 : Analyse problems using critical reasoning, without prejudices, precisely and rigorously.

 

General Competences acquired at University of Alicante (CGUA)

  • CGUA1 : Read and communicate in a foreign language in a professional environment, especially in English.
  • CGUA2 : Use computer, I.T. and communications technology tools as a matter of course in all of one's professional activities.
  • CGUA3 : Capacity for oral and written communication.

 

Specific Competences (CE)

  • CE10 : Capacity to apply the knowledge and skills acquired to solve theoretical and applied economic problems.
  • CE12 : Be able to use the appropriate tools for the analysis, diagnosis and solution of economic questions and problems.
  • CE3 : Bring a rational approach to the analysis and description of any aspect of economic reality.
  • CE5 : Issue expert reports on specific economic situations (international, national or regional) or on sectors of the same.
  • CE8 : Identify the sources of relevant economic information and their content.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2025-26

  • Understand the fundamentals of data analysis using statistical tools and specialized computational software, and recognize its importance in decision-making at both personal and professional levels.
  • Learn to collect, process, and manage structured and unstructured data, including handling large volumes of data (big data).
  • Master techniques and tools for cleaning, preparing, exploring, and analyzing data to turn it into useful and valuable information (Business Intelligence).
  • Develop skills in building and validating models to understand relationships within data and apply predictive analytics to evaluate scenarios and make informed decisions.
  • Identify real-world applications across different contexts, sectors, and industries.

 

 

General

Code: 35047
Lecturer responsible:
Albarrán Pérez, Pedro
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught