Part time Master's Degree in Big Data in Porto in Portugal

View Part time Masters Programs in Big Data in Porto Portugal 2019

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.

 

To study big data, a student must understand math and computer science. This field of study uses extremely advanced software and techniques for understanding very large and complex data sets. Careers in big data include international development, media data mining and simulation.

Portugal is one of the warmest European countries. University programs are very affordable. In fact Portugal has one of the lowest living costs for students. Enjoy the the great beaches in Algarve or the old wings of history in the capital city of Lisbon.

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 Part time 4 semesters September 2019 Portugal Porto

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. [+]

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.... [-]