Master in Analysis and Engineering of Big Data


Master in Analysis and Engineering of Big Data

The digital transformation of society, the explosion of the Internet and the popularization of social networks, currently generates continuous and increasingly large volumes of data, usually referred to as "Big Data", in key sectors such as health, public administration, media and social communications, marketing and e-commerce, finance, energy, environment and urbanism, telecommunications, pharmaceuticals and bioinformatics industries.

The technical field of Analysis and Engineering of Big Data is rapidly growing in demand and employability. Experts in the topics are bound to play an increasingly active and value-creating role in management and innovation processes in all fields of industry and services.


The Master's Degree in Analysis and Engineering of Big Data aims to train specialists at the level of a 2nd cycle of studies in the emerging field of Data Science and Data Engineering, and is intended for candidates with a background at the level of a 1st cycle of studies including coverage of mathematical and programming fundamentals.

The course develops competencies on techniques and methods for processing and analysis of large volumes of data by advanced computational and mathematical methods, and methodologies to seek and find necessary answers to management, monitoring and optimization processes, or extract knowledge, trends, correlations, or predictions, in particular building on machine learning.

The goals of the course are aligned with the "National Digital Competence Initiative e.2030", in the areas of specialisation (item qualification and creation of added value in economics) and research (big data item).


Career opportunities

The Master's Degree in Analysis and Engineering of Big Data is aimed at educating analysts, project development leaders and innovation experts in the emerging field of Data Science and Engineering. Experts in Big Data are lacking and intensively looked after by companies and institutions where large volumes of data are generated or consumed, namely in health, public administration, e-commerce and marketing, finance, energy, environment and urban planning, telecommunications, media and social communication, and pharmaceutical or biotechnological industry. 

2020/21 Fees

Tuition information

Portuguese students (already enrolled in 2019/20): 1063,47 €/year

Portuguese students (for those entering 2020/21): 2000 €/year
Foreign students: 7000 €/year


(to be announced soon)


1st phase: 1st may to 15th june

2nd phase: 1st to 29th july 2020

Acceptance rate in masters

Accepted applicants will have to pay (within a maximum of 7 consecutive days from the date of placement) a non-refundable rate of 300 euros, which will be deducted, after registration, from the total tuition fee. Any payment made after the deadline will not be refunded, leaving the candidate excluded.


Entrance requirements for the 2020/2021 academic year

Vacancies for 2020/2021:


Admission rules:

The following can apply:

  • Holders of a 1st degree (licenciado or legal equivalent) in the areas of Engineering, Exact Sciences, Natural Sciences or Economy, subject to curricular appreciation of the candidate. The program requires mathematical bases and notions of computation and programming at the level of a first general engineering cycle ;
  • Holders of a foreign higher academic degree conferred after a 1st cycle of studies organized in the above areas, in accordance with the principles of the Bologna Process by a State adhering to this Process;
  • Holders of a foreign higher academic degree, in those areas, that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Faculty of Sciences and Technology;
  • Holders of an academic, scientific or professional curriculum recognized by the Scientific Committee of the programme, as testifying the ability to carry out this programme.


  • Course classification;

  • Academic and scientific curriculum;

  • Professional curriculum;

  • Possible interview

Course coordinator:

Professor Pedro Barahona (Department of Informatics)

Professor Filipe José Marques (Department of Mathematics)

Registration and Accreditation


Registration number R/A-Cr 33/2017 on 24/05/2017


Accreditation on 05/04/2017, for 6 years

About the Department of Informatics

The Department of Informatics is a pioneer institution in advanced education and research in Computer Science in Portugal, and has already graduated thousands of informatics engineers and computer scientists. We currently host around 1200 students enrolled in various programs and courses.

Several of our academic staff are associated to the development of computer science and IT in Portugal, for instance, in the first national connection to the Internet in the 80s, in the graduation of the first PhD degrees, and in the development and consolidation of research and innovation in informatics and computer science.

More info

About the Department of Mathematics

The Department of Mathematics is responsible for two undergraduate courses (1st cycle of study) two graduate courses (2nd cycle of study, which award a master’s degree), two postgraduate courses (3rd cycle of study, which award a doctorate degree), a one year post-graduate course and other short courses. The department's academic staff also cooperates in other courses of all qualification levels taught at NOVA School of Science and Technology.

The scientific activity of the majority of the faculty members of the Department of Mathematics is developed at the Center for Mathematics and its Applications (CMA). Its research work covers four major areas: Algebra, Differential equations and Numerical Analysis; Operational Research, Statistics and Risk Management. CMA is integrated into the NOVA School of Science and Technology and is financed by the Foundation for Science and Technology. In addition to the researchers of the Department of Mathematics, this center has the collaboration of many researchers belonging to several Portuguese and foreign universities. In the last evaluation that have been done by the Foundation for Science and Technology, CMA has obtained the classification of Very Good. The other members of this Department develop its scientific activity integrated in other research centers or autonomously.

More info