Erasmus Mundus Master in Big Data Management and Analytics (BDMA) 24 months Postgraduate Programme By Universitat Politècnica de Catalunya · BarcelonaTech (UPC) |TopUniversities

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

Subject Ranking

# =144QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Tuitionfee

18,000 EURTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSt

Study Level

Masters

Study Mode

On Campus

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.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSt

Study Level

Masters

Study Mode

On Campus

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

5.5+
72+
59+
160+

To apply to BDMA, candidates must meet the following eligibility criteria:

  • They have been awarded a Bachelor’s degree (i.e., the equivalent of 180 ECTS) with a major in computer science, from an accredited university. The university has to be listed in the World Higher Education Database (WHED) or be included in the following university rankings:

    Please refer to the FAQ for questions regarding Bachelor’s degree.

  • They must be able to demonstrate proficiency in English by means of an internationally recognised test equivalent to level B2 in the Common European Framework of Reference for Languages (CEFR). The consortium will rely on how certification bodies evaluate their own equivalences against this framework, e.g., Cambridge General English FCE, IELTS (Academic) 5.5, TOEFL (paper based) 570, TOEFL (computer based) 230, TOEFL (internet based) 72, etc. Please refer to the FAQ for questions regarding proof of proficiency in English. IMPORTANT NOTE: TOEFL iBT Home Edition will only be extraordinarily accepted as a valid certificate for the 2022-2024 application period (spanning from September 2021 until June 2022).

2 Years
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Domestic
9,000 EUR
International
18,000 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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