Master's Degree in Big Data in Porto in Portugal

Search Masters Programs in Big Data 2018 in Porto in Portugal

Big Data

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Big data is an important field of study for any business that handles data sets far larger than common software tools can handle. The applications of big data are used in healthcare, the military, education, manufacturing and many other industries.

Portugal, officially the Portuguese Republic, is a country located in Southwestern Europe, on the Iberian Peninsula. Portugal is 900 years old, and even though it has a relatively small area, it played a crucial role in world history. Universidade do Porto is most popular by foreigners which consist of 11% international students.

Porto is the second most populous city in Portugal after Lisbon with a population of about 1.3 million persons. The University of Porto is the top university in Portugal as it serves students from all over Europe and the world in general. There are many other technical colleges in Porto too.

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Master in Data Analytics

University of Porto School of Economics and Management.
Campus Full time Part time 4 semesters September 2018 Portugal Porto + 1 more

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 normal business activity that are continuously accumulated by transactional information systems... [+]

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 normal business activity that are 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.... [-]