Competencies and objectives

 

Course context for academic year 2025-26

The External Internships offer students the opportunity to apply the knowledge and tools acquired in the Master’s in Economics and Data Science for Business to real-world environments—whether in companies, public institutions, or research centers. These internships are designed to strengthen technical and analytical skills, particularly in the use of data for economic decision-making, business strategy, and operational improvement.

By working on real projects involving data processing, modeling, and interpretation, students gain practical experience that prepares them for professional roles in areas such as economic consulting, business analytics, data-driven policy evaluation, marketing intelligence, or financial forecasting.

The internship is also a key stepping stone toward entering the job market, offering a first contact with potential employers and allowing students to build a professional network in sectors where data-driven economic analysis is increasingly in demand.

 

 

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

Skills/Skills

  • RA13 : Know how to apply data science techniques to real economic problems, both for research and decision-making

 

Skills/Competences

  • RA14 : Be able to develop and learn autonomously about topics related to Economics and Data Science

 

 

 

Learning outcomes (Training objectives)

  • No learning outcomes explicitly listed in the syllabus.

 

 

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

The internship is designed to reinforce key professional competencies expected from economists with strong data skills. Through this experience, students will:

  • Understand the essential aspects of professional practice in economics and data analysis
  • Develop decision-making and problem-solving abilities in applied settings
  • Gain real-world experience working in multidisciplinary teams
  • Demonstrate effective oral and written communication in professional environments
  • Apply the knowledge and techniques acquired in the program to solve real economic and business challenges

This set of objectives helps students strengthen their profile for careers in business analytics, consulting, applied research, and data-driven strategy roles across both the private and public sectors.

 

 

General

Code: 49180
Lecturer responsible:
Albarrán Pérez, Pedro
Credits ECTS: 3,00
Theoretical credits: 0,00
Practical credits: 1,20
Distance-base hours: 1,80

Departments involved

  • Dept: Economic Analysis
    Area: Foundations of Economic Analysis
    Theoretical credits: 0
    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