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

Academic year 2020-21 | 90 credits | 30 places
Check on the "Structure" section in the description to learn about the study programme and how it is organized.
Subjects with no link are not offered in this edition
First course
Name Type Credits Period
11630 - Technologies for Big Data Analysis Obligatòria 9,0 1st semester
11631 - Statistical Learning and Decision-Making Obligatòria 6,0 1st semester
11632 - Social and Economic Networks Obligatòria 6,0 1st semester
11633 - Econometrics for Big Data Obligatòria 6,0 1st semester
11634 - Big Data and Business Management Obligatòria 6,0 1st semester
11647 - Financial Derivatives Optativa 3,0 2nd semester
11649 - Credit Risk Modelling in the Banking Sector Optativa 3,0 2nd semester
11650 - Quantitative Finances Optativa 3,0 2nd semester
11655 - Accounting for Customer Knowledge Optativa 3,0 2nd semester
11659 - Applications for Social Networks Optativa 6,0 2nd semester
11652 - Applications with Complex Networks Optativa 6,0
11656 - Effective Communication Management Optativa 3,0
11657 - Technology Monitoring and Analysis of Patents Optativa 3,0
Second course
Name Type Credits Period
11661 - Master's Thesis Treball fi de màster 18,0 1st semester
11660 - Practical Placements Pràctiques externes 12,0 1st semester

 Applications and Techniques for Financial and Business Management

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
11651 - Text Mining for Social Sciences 3,0 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
11654 - Management of Health Organizations 3,0

 Computing Technology for Massive Data Management

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