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.
Objectives
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).
Curriculum
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.
Tuition Fees
Portuguese students: 2000 €/year
Foreign students: 7000 €/year
Schedule
(to be announced soon)
Applications
1st phase: 12th february to 22nd march 2024
2nd phase: 3rd June to 17th july 2024
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.
Applications
International Applications
Entrance requirements for the 2024/2025 academic year
Vacancies for 2024/2025:
25
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 NOVA FCT;
- 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.
Ranking:
Course coordinator:
Professor João Moura Pires
maebd.coordenador@fct.unl.pt
Registration and Accreditation
DGES
Registration number R/A-Cr 33/2017 on 24/05/2017
A3ES
Publication date of the accreditation decision: 05/04/2017
Period of validity of the accreditation:
6 years from 05/04/2017
About the Department of Computer Science
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.
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About the Department of Mathematics
The Department of Mathematics (DM) is a permanent teaching and research unit of the NOVA School of Science and Technology . 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 is currently a body of more than 70 Doctorate professors.
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 NOVA FCT.
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