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Erasmus Mundus Master in Big Data Management and Analytics (BDMA)

Universitat Politècnica de Catalunya
Program overview
2 years
Full time
Master's degree
Scholarships available
English
Start dates
Barcelona
September 2021

Barcelona
September 2022

Barcelona
September 2023

Program description

Erasmus Mundus Master in Big Data Management and Analytics (BDMA)

Since its inception 20 years ago, business intelligence (BI) has become a huge industrial area and a significant driver of the economy. It covers many fields of science and technology (data warehousing and mining, content analysis, business process management, etc.) and requires knowledge of information systems, the Web, decision making, software engineering, innovation and entrepreneurship. The Erasmus Mundus master's degree in Big Data Management and Analytics (BDMA), formerly the master's degree in Information Technologies for Business Intelligence (IT4BI), coordinated by the Université Libre de Bruxelles (ULB) and with the UPC as a participant, provides students with the comprehensive training required for them to understand, learn and acquire BI skills and develop decision-making strategies for business.

Admission requirements

  • An official Spanish university qualification or an official university qualification issued by a university in the European Higher Education Area (EHEA) that qualifies the holder for admission to a master's degree.
  • A qualification issued by a university in a country that is not in the EHEA. If the qualification has not been homologated, the UPC will verify that the course of study corresponds to a level of education equivalent to an official Spanish university degree and that the qualification obtained would provide admission to a master’s degree in the country in which it was awarded. This access route in no way implies the homologation of the qualification or its recognition for any purpose other than admission to the master's degree. The master's degree will, however, be fully and legally valid.

In addition to these general access requirements, which apply to all master's degree courses, specific admission requirements may be set for each programme.

For more information about admission requirements, please visit the university website.


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Program content

1st semester

Business Intelligence Fundamentals

  • Data Warehouses
  • Data Mining
  • Business Process Management
  • Database Systems Architecture
  • Advanced Databases
  • Humanities: Foreign Language

2nd semester

Big Data Fundamentals

  • Big Data Management
  • Semantic Data Management
  • Cloud Computing
  • Viability of Business Projects
  • Big Data Seminar
  • Humanities: Foreign Language
  • Humanities: Social and Ethical Impact of Big Data

European Business Intelligence and Big Data Summer School (Summer after the 2nd semester)

Students will attend the summer school organised annually by one partner institution. Presented by leading researchers in the field, it provides students with theoretical and practical skills in the domain. Industrial presentations will allow participants to understand the current product offer.

Summer Internship (Summer after the 2nd semester)

Although not mandatory, in order to acquire a first working experience, students are encouraged to participate in summer internships, typically with industrial associated partners, between the end of the summer school and the beginning of the third semester.

3rd semester

Large-Scale Analytics

  • Scalable Data Science
  • Management of Heterogeneous Information
  • Management of Data Streams
  • Big Data Analytics Project
  • Big Data Analytics Seminar
  • Humanities

Business Process Analytics

  • Business Information Systems
  • Introduction to Process Mining
  • Visualisation
  • Statistics for Big Data
  • Business Process Analytics Seminar
  • Humanities: Ethics of Technology

Decision Support and Data Analytics

  • Decision Modeling
  • Advanced Machine Learning
  • Visual Analytics
  • Massive Graph Management & Analytics
  • Big Data Research Project
  • Business Innovation Management
  • French Language and European Culture

4th semester

  • Master’s Thesis

Scholarships & funding

Several scholarship options are available. Please check the university website for more information.

Qualification

120 ECTS credits

Career opportunities

Business intelligence (BI) has become an important industrial domain that encompasses many scientific and technological fields, including data warehouses, data mining, visual and content analytics and business process management. It requires competencies in information systems, Web science, decision science, software engineering, innovation and entrepreneurship. This master's degree is designed to provide understanding, knowledge and skills in this broad range of fields. Its main aim is to train computer scientists who understand and help to develop the decision-making strategies of modern businesses.

The posts that graduates of this master's degree often occupy and for which they are in most demand are the following:

  • Data analyst/data scientist (typically involving user modelling and personalisation)
  • CRM specialist
  • Big data decision-making systems engineer
  • Specialist in data modelling/hybrid dataflow between different platforms
  • Administrator/designer of distributed systems for cloud computing

Contact school

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About this institute

Universitat Politècnica de Catalunya

The Universitat Politècnica de Catalunya · BarcelonaTech is a public institution of Higher Education and Research, specialised in the areas of Architecture, Engineering, Science and Technology. The UPC offers 64 bachelor’s degrees, 75 master’s programs (30 of them fully in...


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Contact info

Universitat Politècnica de Catalunya

Campus Nord, Calle Jordi Girona, 1-3
08034 Barcelona Catalonia
Spain

 Show phone number
www.upc.edu

Contact school

Want to know more about Erasmus Mundus Master in Big Data Management and Analytics (BDMA)? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

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