Type: 
University of Technology
Region: 
Dolnośląskie
Programme: 
Computer science
Area: 
Technological sciences
Level: 
Master's Programme
Mode of studies: 
full-time programme
Duration: 
3 semesters
Tuition fee: 
non EU/EFTA students 2000 EUR tuition fee per semester, EU/EFTA students no tuition fee
Degree awarded: 
Master
Scholarships available: 
Based on merit
Application deadline: 
Monday, 30 November, 2020
Language: 
EN
Day of semester start: 
Monday, 1 February, 2021
Credits (ECTS): 
90
Admission requirements: 

Requirements: Bachelor's 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.

»» Deadline for application: Non EU/EFTA students see: www.admission.pwr.edu.pl; EU/EFTA students see: www.rekrutacja.pwr.edu.pl
»» English: Equivalent of minimum TOEFL IBT – 87 points or 6.5 points IELTS. List of accepted language certificates can be checked online
»» Application fee: Non EU/EFTA students see: www.admission.pwr.edu.pl; EU/EFTA students see: www.rekrutacja.pwr.edu.pl

Description: 
Field of study: Big Data Analytics
 
Specialization: Big Data Analytics
 
The graduate has in-depth knowledge of these areas of physics, computer science and mathematics which are useful for modelling 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: 
» use IT tools and technologies to process large amounts of data, 
» use methods of physics of complex systems to study and model the analysed information re¬sources, 
» 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, aiming to uncover, among others, hidden patterns, market trends, customer preferences, etc.
 
OBLIGATORY COURSES (SEMESTER 1) 
» Introduction to Complex Systems 
» Elements of Probability 
» Programming and Classification 
» Stream Programming 
» Statistical Physics 
» Advanced Topics in Algebra 
 
OBLIGATORY COURSES (SEMESTER 2) 
» Complex Systems Theory and Practice 
» Differential Equations 
» Functional Programming 
» Big Data Algorithms 
» Nonlinear Dynamic
 
OBLIGATORY COURSES (SEMESTER 3) 
» Diploma Seminar 
» MSc Thesis 
 
SUPPLEMENTARY COURSES, IN PARTICULAR: 
» Modern Theory of Phase Transit 
» Modern Physics 
» Monographic Lecture in Computer Science 
» Monographic Lecture in Theoretical Physics 
» Monographic Lecture in Mathematics 
» Analytic Combinatorics

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