Accreditations
The Master in Data Science aims to provide its participants with current and rigorous training, allowing them a good theoretical and practical mastery of the latest knowledge in the area, in an interdisciplinary and multidisciplinary perspective, essential to ensure a good insertion in the labor market.
The general objectives of the program are as follows:
Provide competencies and skills needed to process and analyze big data (Big Data) as well as extract value and knowledge for decision making;
Develop advanced skills in areas such as Data & amp; Text Mining, Machine Learning and its applications for concrete problems;
Provide students with research methodologies, procedures, and techniques that enable them to identify, formulate and solve problems (and projects) critically, creatively and autonomously.
Director(s) message
The Master of Science in Data Science aims to fill a gap that has been growing increasingly in the Portuguese business industries (eg., finance, public policy, insurance, fisheries and agriculture, energy, telecommunications, tourism, health). with the challenges inherent in extracting knowledge and value from the huge wealth of data that exists, both in business and on the Internet. Thus, the Master provides advanced training that allows complementing a basic education in areas where Mathematics, Statistics, and Computer Science have been a fundamental pillar, in order to leverage analytical, descriptive and predictive skills in the Master's students to enable advanced and innovative research or application.
General information
Note:
Students from outside the EU must pay the whole amount of the tuition fee for each year immediately after enrolment, as payments in instalments are not available.
Accreditations, Affiliations and Rankings
