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Search Masters Programs in Big Data 2019 in Warsaw in Poland

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

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.

Warsaw the capital and the largest city of Poland is believed to be a major tourist attraction, economic hub and educational center. The city is loaded with natural beauty and is an ideal educational hub for nature lovers. It also has institutions that offer degrees in varied areas of higher education.

Request Information Master's Degrees in Big Data in Warsaw in Poland 2019

2 Results in Big Data, Warsaw Filter

Master in Health Economics and Big Data Analytics

Kozminski University
Campus Full-time 2 years October 2019 Poland Warsaw

Health Economics and Big Data Analytics - HEBDA is a unique full-time Master’s dual studies program and a practical profile, conducted entirely in English. Health Economics is a new but dynamically developing science. It is the discipline of economics applied to the topic of health care. Health Economics provides a set of methods and analytical approaches to study the effectiveness, efficiency, and value of health technologies with the ultimate objective of optimal allocation of healthcare resources.

Master in Big Data Analysis

Kozminski University
Campus Full-time 2 years October 2019 Poland Warsaw

The Big Data Analysis specialization, on our Master in Finance and Accounting studies, is a two-year program conducted in English, which is held in collaboration with industry experts from global companies. The studies simultaneously prepare students to work in big data in the finance field. Aside from extensive finance knowledge, practical technical skills will be taught, such as identifying, collecting, analyzing, interpreting, and transforming data, in order to face big data challenges in the financial world. Furthermore, new trends in both areas will be presented, from venture capital to cloud computing.