Big Data Analytics and Engineering

Education objectives

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).

Why this Master''s?

• 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.

Career opportunities

• 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.