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).
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.
Portuguese students: 2000 €/year
Foreign students: 7000 €/year
(to be announced soon)
1st phase: 15th february to 15th march
2nd phase: 1st June to 12th july
3rd phase: 25th july to 28th august
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.
Vacancies for 2021/2022:
The following can apply:
Academic and scientific curriculum;
Professor João Moura Pires
Registration number R/A-Cr 33/2017 on 24/05/2017
Publication date of the accreditation decision: 05/04/2017
Period of validity of the accreditation:
6 years from
The Department of Computer Science 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
The Department of Mathematics (DM) is a permanent teaching and research unit of the Faculty of Sciences and Technology of the Universidade Nova de Lisboa (FCT NOVA). In the DM, multiple activities in the field of Mathematics are developed, ranging from teaching and research to promotion and dissemination, through lifelong training and the provision of services to the community. The DM consists of 83 professors, of whom 79 have doctorates.
The DM is in charge of the Degree in Mathematics, the Degree in Applied Mathematics to Risk Management, the Master in Actuarial Mathematics, the Master in Mathematics and Applications, the Master in Mathematics Teaching for the 3rd cycle of Basic Education and Secondary Education, as well of the PhD in Mathematics at NOVA University. The DM also ensures the teaching of propaedeutic subjects in the field of Mathematics for the various courses at FCT NOVA.More info