Master's Degree in Big Data in Porto in Portugal

Compare 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.

 

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.

Request Information Master's Degrees in Big Data in Porto in Portugal 2018

Read More

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 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.... [-]