University of Technology
Computer science
Technological sciences
Master's Programme
Mode of studies: 
full-time programme
3 or 4 semesters (Extended version is dedicated for students who require additional preparation)
Tuition fee: 
2400 euro per semester
Degree awarded: 
Scholarships available: 
Application deadline: 
Thursday, 20 August, 2020
Day of semester start: 
Thursday, 1 October, 2020
Credits (ECTS): 
Admission requirements: 

Admission requirements can be found here https://www.students.pw.edu.pl/How-to-Apply/Admission-to-M.Sc


These Master programmes cover modern mathematics and tackle the latest trends in computer science. Studies involve a lot of individual work. Each student chooses a scientific advisor from among academic and research staff. Last semester is devoted mainly to M.Sc. thesis preparation, which is usually highly related to the on-going faculty research.

Graduates can use IT tools to write computer programs, develop and verify IT projects including advanced statistical applications which require modelling and deepened comprehension of computer science notions. Graduates are well-prepared to work in companies of diverse business profiles which make use of advanced IT solutions, in particular in companies that develop software, IT consultancy companies, in the advanced technologies sector and the financial institution's sector. Students of Artificial Intelligence specialisation gain a deep theoretical and practical comprehension of artificial intelligence and computational intelligence methods, neural networks and knowledge representation. Students of Business Intelligence Systems Development specialisation become experts designing and programming of business intelligence systems (SAS) and statistical systems using advanced computational methods.

Examples of modules:

• High-performance computing • Advanced algorithms • Software testing • Knowledge representation and reasoning • Neural networks • Programming in logic and symbolic programming • Image and speech recognition • Calculus - advances • Data compression