Master's Degree in Big Data Analysis in Economics and Business

Academic year 2025-26

You can also consult this information for the academic year 2024-25.
The adaptation process to modify this curriculum to the new version for the 2025-26 academic year has begun.
If you started the master’s programme on this curriculum version, you may either continue with it or request adaptation to the new version via the direct admission procedure. Please see the information on the adaptation due to curriculum modification procedure.
Please see the enrolment deadlines for the 2025-26 academic year for this master's programme.

To be awarded the degree, 90 ECTS credits must be passed as follows:

First Year

33 ECTS from mandatory subjects.

27 ECTS from elective subjects, which must be taken from one of the specialities:

Tools for Management and Intelligent Data Analysis

  • 18 ECTS from electives in the specialisation
  • 9 ECTS from the electives in the selected specialisation, from another specialisation or from the common electives.

Techniques and Applications for Financial and Business Management

  • 18 ECTS from electives in the specialisation
  • 9 ECTS from the electives in the specialisation, from another specialisation or from the common electives.

Computing Technology for Massive Data Management

  • 18 ECTS from electives in the specialisation
  • 9 ECTS from electives in the specialisation, from another specialisation or from the common electives.

Second Year

12 ECTS from External Placements.

18 ECTS from the Master's Thesis.

First year
Name Type Credits Period
11630 - Technologies for Big Data Analysis Mandatory 9,0 1st semester
11631 - Statistical Learning and Decision-Making Mandatory 6,0 1st semester
11632 - Social and Economic Networks Mandatory 6,0 1st semester
11633 - Econometrics for Big Data Mandatory 6,0 1st semester
11634 - Big Data and Business Management Mandatory 6,0 1st semester
11650 - Quantitative Finances Elective 3,0 2nd semester
11647 - Financial Derivatives Elective 3,0
11649 - Credit Risk Modelling in the Banking Sector Elective 3,0
11652 - Applications with Complex Networks Elective 6,0
11655 - Accounting for Customer Knowledge Elective 3,0
11656 - Effective Communication Management Elective 3,0
11657 - Technology Monitoring and Analysis of Patents Elective 3,0
11659 - Applications for Social Networks Elective 6,0
Second year
Name Type Credits Period
11661 - Master's Thesis Master's Thesis 18,0 1st semester
11660 - Practical Placements External Academic Placements 12,0 1st semester

 Applications and Techniques for Financial and Business Management
  • Mallorca

Applications and Techniques for Financial and Business Management
Name Credits Period
11645 - Time Series Analysis 6,0 2nd semester
11648 - Finances and Econometrics with High-Frequency Data 6,0 2nd semester
11653 - Human Resources Management 3,0 2nd semester
11658 - Data Mining Applications in the Tourism Industry 6,0 2nd semester
11646 - Decision-Making and Game Theory 3,0
11651 - Text Mining for Social Sciences 3,0
11654 - Management of Health Organizations 3,0

 Computing Technology for Massive Data Management
  • Mallorca

Computing Technology for Massive Data Management
Name Credits Period
11635 - Data Visualisation 3,0 2nd semester
11636 - Cloud Computing 6,0 2nd semester
11638 - Management and Storage of Big Data 6,0 2nd semester
11639 - Data and Text Mining 6,0 2nd semester
11637 - Semantic Information Technologies 3,0

 Tools for Management and Intelligent Data Analysis
  • Mallorca

Tools for Management and Intelligent Data Analysis
Name Credits Period
11640 - New Trends in Data Mining 6,0 2nd semester
11641 - Statistical Techniques with Fuzzy Data 3,0 2nd semester
11642 - Simulation Tools and Sampling with Big Data 3,0 2nd semester
11643 - Optimization Techniques with Fuzzy Information 3,0 2nd semester
11644 - Statistical Learning and Decision-Making II 6,0 2nd semester