• We are glad to announce that Università degli Studi di Padova (UniPD) is now part of the BDMA consortium. UniPD will offer the following specialization: “Statistics \& Deep Learning for Data Analytics” which will be available for students from the next edition.
  • We regret to inform you that as from September 2021, Technische Universität Berlin (TUB) will not be part anymore of the BDMA consortium. This means that new students will not have the opportunity to choose TUB as a specialization anymore.
  • We regret to inform that the BDMA consortium will not be able to grant new student scholarships for the 2021-2022 cohort different from those already granted for the 2020-2021 edition. Due to the current epidemiological situation derived from the Covid-19 alert, the 2020-2021 edition was cancelled and the scholarships granted postponed one year (i.e., selected students were offered to participate in the 2021-2022 cohort).Further, the BDMA consortium scheduled a regular selection procedure about these dates as usual, to complete the 2021-2022 cohort due to potential drop-outs. However, this extraordinary selection process cannot take place due to the EACEA regulations that rule this program. Therefore, for the 2021-2022 edition the BDMA consortium will only offer self-funded positions.Accordingly, on 1st October 2020 we will open the application website for self-funded applications for the 2021-2022 cohort. We envision two windows to answer your applications: February 2021 (for those applying before that date) and April 2021 (for partner candidates applying after 1st February 2021) and June 2021 (for programme candidates applying after 1st February 2021). More information about precise dates to come soon.
    We are sorry for the inconveniences these news may generate.

    The BDMA consortium.


Background & Objectives

The First Report of the EU Data Market Study estimates that the number of data users will reach more than 1.3 million in 2020 while the overall data market will likely reach € 111 billion under high growth conditions. The last decade was marked by the digitalisation of virtually all aspects of our daily lives. Today, public and private organisations in all sectors face an avalanche of digital data on a daily basis. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is neither information nor knowledge. Instead, data is of great value once it has been refined and analysed, in order to address well-formulated questions, concerning problems of interest. It is only then through data-driven innovation that the economic and social benefit can be fully realised.The Erasmus Mundus Joint Master Degree Programme in Big Data Management and Analytics (BDMA) is a unique programme that fully covers all of the data management and analytics aspects of Big Data (BD), built on top of Business Intelligence (BI) foundations, and complemented with horizontal skills. It has been jointly designed and adheres to international studies, being structured to cover all the skills BI and BD specialists require.

Presentation & Structure

The programme favours the integration of students into a network of specialists and researchers in BI and BD. The curriculum is jointly delivered by Université Libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Berlin (TUB) in Germany, Technische Universiteit Eindhoven (TU/e) in the Netherlands, CentraleSupélec (CS) in France and Università degli Studi di Padova (UniPD) in Italy. Scholars from academic partners around the world and partners from leading industries in BI, private R&D companies, service companies, public research institutes, and public authorities will contribute to the programme by training students, providing computers, software, course material, job placement or internship perspectives, as well as financial support.


This consortium will prepare the graduates not only to answer today s professional challenges by a strong connection with the needs coming from the industry, but also to pursue their studies into doctorate programs, through strong connections with the researchers and innovators views.


The master is divided in four semesters of 30 ECTS each. In the first year, students acquire fundamental knowledge in BI and BD. The first semester at ULB homogenises the students’ background by introducing them to core BI competences: traditional data management, business process management, and data analytics. The second semester at UPC covers BD fundamentals: distributed management to deal with Volume, semantic management to deal with Variety, and distributed stream-based management to deal with Velocity. In this first year, students also acquire ethics awareness and business and entrepreneurship skills to deal with Value, as well as horizontal skills such as critical thinking, language, writing, and presentation skills. In the second year, students specialise in how to couple such techniques with a business goal. The specialisation in “Large-Scale Data Analytics” at TUB focus on data analytics on both large, heterogeneous data, but also on fast, high-throughput data, i.e., dealing mainly with Volume, Velocity, and Variety. The specialisation in “Business Process Analytics” at TU/e offers the bridge between data mining and business processes modelling and analysis, i.e., dealing mainly with Variability and Value. The specialisation in “Decision Support and Analytics” at CS concentrates on models, algorithms, and technologies related to decision-support systems and massive data analytics, dealing mainly with Value and Veracity. Ethics and innovation courses are incorporated in the three specialisation programmes.The specialization on “Statistics & Deep Learning for Data Analytics” at UniPD aims to provide students with advanced Data-Science methods and strengthen their background in Statistics and Deep Learning. In this respect, UniPd will provide a first mandatory course on Statistical Inference, and a second mandatory course on Deep Learning, the latter with an emphasis on the analysis of human data (see the course description below). Furthermore, students with a strong interest in statistical methods can opt to further enlarge their background of Data-Science methods by also taking a course on Stochastic Model. In the last semester, devoted to the master’s thesis, students put into practice the obtained technical skills, aligned with a business and entrepreneurship vision, and with a strong background in ethics. Finally, during the whole programme, students are introduced to local culture aspects.


The tuition language is English. The programme targets students with a Bachelor of Science (or a level equivalent to 180 ETCS) with major in Computer Science, as well as an English proficiency corresponding to level B2 of the Common European Framework of Reference for Languages. The BDMA programme will deliver a joint degree to the graduates following the mobility ULB, UPC, and CS or UniPD. The BDMA programme will deliver three degrees from ULB, UPC, and the university of specialisation (either TUB or TU/e) to the graduates following the other mobilities.



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