Master’s in Data Analysis and Engineering

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Master’s in Data Analysis and Engineering

Master the data. Impact the world.

The growing and challenging digital transformation, the internet, social networks, and the widespread use of sensors continuously generate large volumes of data in key sectors such as healthcare, public administration, media and communication, marketing and e-commerce, finance, energy, environment and urban planning, telecommunications, pharmaceutical industry, and bioinformatics.

The Master’s in Big Data Analysis and Engineering trains highly specialized professionals with an innovative profile and a strong ability to create value from data in management and innovation processes across all industry and service sectors.

The Master’s in Big Data Analysis and Engineering benefits from the expertise of two NOVA FCT departments: Computer Science and Mathematics, which form the foundation of Data Science and Engineering.

With a strong theoretical and practical component, this Master’s program develops solid skills in processing and analyzing large volumes of data using cutting-edge methods and methodologies (Machine Learning, Advanced Data Analysis).

Bolsa de Estudo "Impulso Mestre"

Esta bolsa, no valor de 450 euros, está disponível a todos os estudantes que:
a) Estejam matriculados, pela primeira vez, no primeiro ano de um segundo ciclo de estudos (mestrado) da NOVA FCT;
b) Tenham concluído a licenciatura com uma classificação final igual ou superior a 15 valores;
c) Tenham concluído a licenciatura numa instituição de ensino superior nacional ou de um Estado-Membro da União Europeia.

Nota: Apenas são elegíveis os candidatos cuja edição do curso decorra na NOVA FCT

Os resultados serão divulgados em novembro de 2026.

Condições de acesso

Porquê este mestrado?

  • Teaching methodology that combines theory with significant practical experience, using real data and current tools;
  • Education supported by the excellence of two NOVA FCT departments: Computer Science and Mathematics, which form the foundation of Data Science and Engineering;
  • Possibility to choose the curricular path: a set of mandatory courses in the first semester and 4 specialization courses to choose from a wide range of advanced courses;
  • Master’s thesis lasting not just 6 months but a full year, focused on research topics from the NOVA LINCS and NOVA MATH research centers or on research themes and challenges developed in partner companies of the Master’s program;
  • Strong connection to the business sector and strategic partnerships;
  • Highly sought-after professionals in the field of Data Science and Engineering, in various industry and service sectors.

Candidaturas 2026/27

1.ª Fase: February 4 to March 27, 2026

2.ª Fase: June 1 to July 17, 2026

3.ª Fase: August 19 to September 4, 2026

Fase única para estudantes internacionais: February 4 to March 27, 2026

Vagas: 25

Duração: 2 years

Formato: On-site, Daytime

Idioma: English and/or Portuguese

TENS DÚVIDAS?

Coordenador do curso: João Moura Pires, maebd.coordenador@fct.unl.pt

Divisão Académica: mestrados@fct.unl.pt

Quero candidatar-me:
Candidatos Nacionais
Candidatos Internacionais

Programa

The course objectives are aligned with the “National Digital Skills Initiative e.2030,” focusing on the specialization axis (qualification and creation of higher added value in the economy) and research axis (Big Data).

The program enables the development of skills related to the processing and analysis of large volumes of data using advanced computational and mathematical methods, and methodologies to search for and find answers necessary for management, monitoring, and optimization processes, or to extract knowledge, trends, correlations, or predictions, particularly through machine learning.

Plano curricular

Para quem

  • Holders of a Bachelor’s degree or legal equivalent in degree programs in Engineering, Exact Sciences, Natural Sciences, or Economics, subject to candidate curricular evaluation. The program requires a mathematical background and knowledge of computing and programming;
  • Holders of a foreign higher academic degree awarded following a first cycle of studies organized in fields aligned with the principles of the Bologna Process by a country participating in this Process;
  • Holders of a foreign higher academic degree in fields recognized by the Scientific Council of NOVA FCT as meeting the objectives of a Bachelor’s degree;
  • Holders of an academic, scientific, or professional curriculum recognized by the program’s Scientific Committee as demonstrating the capacity to undertake this cycle of studies.

Saídas profissionais

  • Integrate and contribute to the leadership and building of specialized Data Analysis and Engineering teams in large organizations or companies across various sectors (Healthcare, Public Administration, E-commerce and Marketing, Banking and Insurance, Energy, Environment and Urban Planning, Telecommunications, Media and Social Communication, Pharmaceutical or Biotechnological Industry, etc.);
  • Integrate and contribute to the leadership and building of specialized Data Analysis and Engineering teams in national and international consulting firms operating in these same sectors;
  • Develop scientific research in academia or leading companies on solutions for Data Analysis and Engineering.

Sobre o Department of Computer Science

The Department of Computer Science  is a pioneering institution in higher education and scientific research in Computer Science in Portugal, having trained thousands of Computer Science Engineers. Many of our faculty members have contributed to the development of Computer Science in the country, including the first national connection to the Internet, training the first PhDs, and establishing Portugal's reputation in research and innovation in Computer Science.

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Sobre o Department of Mathematics

The Department of Mathematics at NOVA FCT is a permanent teaching and research unit of NOVA FCT. With over 70 PhD faculty members, the Department of Mathematics engages in a wide range of activities in the field of Mathematics, including teaching, research, promotion, and dissemination. It also provides lifelong learning opportunities and offers services to the community.

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