Decision-making processes within companies and other organizations rely heavily on the knowledge that decision makers have about the reality where the company acts (markets, customers, producers, etc.). Much of this knowledge can be drawn from the data resulting from the normal business activity that is continuously accumulated by transactional information systems.
Efficient and effective processing of such data for actionable knowledge might result in better performance of the organization by exploring mainly data analysis techniques. These include various statistical and data mining (data exploration) techniques, specifically targeted for the extraction of actionable knowledge from large volumes of existing data.
All that knowledge serves, ultimately, to support decision making. According to a recent report by the McKinsey Global Institute, data mining will drive the next wave of innovation.
The Master in Data Analytics is intended for decision-makers wishing to add value to their strategic capabilities by taking advantage of decision support and data analysis systems, as well as specialists in information systems or statistics, wishing to contribute to the development of computational decision support. The Master in Data Analytics aims to develop the relevant skills for those playing a prominent role in areas using techniques of data analysis and knowledge extraction from databases.
The MSc in Data Analytics program at FEP (U.Porto) is part of the QTEM - Quantitative Techniques for Economics and Management network, facilitating the access by the best students to study and work abroad within the QTEM Master network that gathers prestigious academic and corporate partners.
The Master program is destined to (potential) decision-makers wishing to add value to their strategic capabilities by taking advantage of information decision support and data analysis techniques, as well as specialists in information processing wishing to participate in the development of computational systems for business intelligence and decision support. Some of our current and past students:
- Project managers (Sonae, Banif, INE)
- Business Intelligence analysts (Optimus, Continente)
- Credit managers (Credifin)
- Data analysts (Bank of Portugal, Banif)
- Managers and developers of websites (INE)
- Members of teams developing advanced decision support applications (Unicer, Sonae/Enabler, Sonae/Celdata, Siemens)
- Researchers and professors (U. Porto, U.Minho, ISEP, IP Viseu)
The Master in Data Analytics is designed for those who wish to promote their professional development, as well as those who need a basic scientific and technical training to update their knowledge about the latest advances in the respective areas. The sectors where the knowledge and technique can be applied are diverse. They include distribution, banking, manufacturing, insurance, transport, industry, retail, services (including health) etc.
"I decided to apply to this Master with the personal and professional goal of improving skills and learning new subject areas in the data mining field. I have acquired valuable knowledge which allowed me to grow professionally. With the implementation of intelligent systems, my company is providing a better service and experience to our customers. I believe this Master is a great investment to everyone who wants to learn how to implement forms of advanced analytics, such as data mining, predictive analytics or text mining to gain a competitive edge." Cristina Cerqueira, Farfetch
"I took the Master in Data analytics in order to learn cutting-edge data analysis methodologies for the resolution of complex problems in order to create actionable knowledge that is a source of competitive advantage. The experience gained during my master program contributed to my professional development, in which segmentation, propensity, and network analysis became part of my vocabulary in my work in Customer Intelligence.” Nuno Paiva, Business Intelligence Manager at NOS
1st call: January 2, until March 1, 2019
2nd* call: August 12, until August 22, 2019
* Only for the programmes with remaining vacancies.
Applications online: www.fep.up.pt
Program taught in: