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

Academic year 2022-23

See the pre-registration, admission and registration deadlines for the 2022-23 academic year for this master's programme.
You may also check this information for the 2021-22 academic year.

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
11647 - Financial Derivatives Elective 3,0 2nd semester
11649 - Credit Risk Modelling in the Banking Sector Elective 3,0 2nd semester
11650 - Quantitative Finances Elective 3,0 2nd semester
11655 - Accounting for Customer Knowledge Elective 3,0 2nd semester
11659 - Applications for Social Networks Elective 6,0 2nd semester
11652 - Applications with Complex Networks Elective 6,0
11656 - Effective Communication Management Elective 3,0
11657 - Technology Monitoring and Analysis of Patents Elective 3,0
Second year
Name Type Credits Period
11661 - Master's Thesis Master's Dissertation 18,0 1st semester
11660 - Practical Placements External 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 - Management of Human Resources 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