MSc in Big Data Analytics
Area of Studies
mathematics, informatics
Degree
Master
Degree (in English)
Master
Language(s)
- English
Course Duration
3 semsters
www
Department
Faculty of Fundamental Problems Technology, Wrocław University of Science and Technology
Tuition and Other Fees
Non EU/EFTA students: 2000 EUR per semester
EU/EFTA students: no tuition fee
Application Deadline(s)
Contact the Unit
Course Description
Course Profile
The graduate has in-depth knowledge of these areas of physics, computer science and mathematics, that are useful for modeling and solving problems related to the analysis of large information resources. The graduate knows the most important directions of research in the field of analytics of large data sets (Big Data Analytics),complex systems theory and statistical physics and has skills to:(1) use IT tools and technologies to process large amounts of data,
(2) use methods of physics of complex systems to study and model the analyzed information resources,
(3) find or design an adequate model of the observed dynamic phenomenon and verify it on the basis of empirical data. The graduate will be prepared to work in a dynamically developing market sector related to the statistical analysis of large data sets, that is aimed to uncover, among others,hidden patterns, market trends, customer preferences,etc.
Education Requirements
Bachelor Degree: undergraduate degree in one of the following fields- computer science, electronics,mathematics, telecommunication, teleinformatics.Each application is assessed individually on its merits.
If in doubt, please contact the Admission Officer.
Contact
Prof. Jacek Cichoń,
Jacek.Cichon@pwr.edu.pl
Admission office:
e-mail: admission@pwr.edu.pl,
phone: +48 71 320 37 11, +48 71 320 31 70,
+48 71 320 37 19, +48 71 320 44 39
Wrocław University of Science and Technology
address:
phone: +48 71 320 37 19
email: admission@pwr.edu.pl
www: http://www.pwr.edu.pl
Wybrzeże Wyspiańskiego 27
50-370 Wrocław, Poland
phone: +48 71 320 37 19
email: admission@pwr.edu.pl
www: http://www.pwr.edu.pl
Study programmes
- BSc in Applied Computer Science
- BSc in Electronic and Computer Engineering
- BSc in Mechanical Engineering
- BSc in Organisational Management
- MA in Human Resource Management
- Medicinal Informatics, Bachelor
- MSc in Big Data Analytics
- MSc in Advanced Applied Electronics
- MSc in Advanced Chemical Engineering and Nanotechnology
- MSc in Advanced Computer Science
- MSc in Advanced Nano- and Bio-Materials MONABIPHOT
- MSc in Applied Mathematics
- MSc in Architecture
- MSc in Automotive Engineering
- MSc in Big Data Analytics
- MSc in Bioinformatics
- MSc in Business Intelligence
- MSc in Civil Engineering
- MSc in Computer Aided Mechanical and Power Engineering
- MSc in Computer Engineering
- MSc in Control in Electrical Power Engineering
- MSc in Cryptography and Computer Security
- MSc in Embedded Robotics
- MSc in Environmental Quality Management
- MSc in Geomatics
- MSc in Geomatics for Mineral Resource Management
- MSc in Geotechnical and Environmental Engineering
- MSc in Internet Engineering
- MSc in Medicinal Chemistry
- MSc in Mining Engineering
- MSc in Nuclear Power Engineering
- MSc in Production Management
- MSc in Refrigeration and Cryogenics
- MSc in Renewable Energy Systems
- MSc in Renewable Sources of Energy
- MSc in Spatial Management
- MSc in Technology of Fine Chemicals
- Preparatory English Language Course
- Preparatory Polish Language Course
- Urban Mining, MSc