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International Relations Office
24, Warszawska Street
31-155 Cracow, Poland
e-mail: iro@pk.edu.pl
Erasmus Office
e-mail: erasmus@pk.edu.pl

Phone number:
+48 12 628 29 19
+48 12 628 30 44
+48 12 628 20 09

Degree Students
Diploma studies (BSc and MSc)
Cracow University of Technology offers a wide variety of study programmes. In 7 faculties studies are available also in the English language.
International Exchange Students
Exchange Students
Cracow University of Technology offers a wide range of short-term programmes in English. They last for one or maximum two semesters and are carried out by all faculties of the University.
Outgoing PK Students
Outgoing PK Students
PK students interested in exchange programmes with overseas partner universities are welcome to follow the news on this website.


Faculty of Computer Science and Telecommunications Faculty www

Faculty of Computer Science and Telecommunications strives to theoretically and practically prepare graduates for independent modeling of reality and problem solving requiring the application of advanced information science techniques and methods of mathematical modeling. Education at the Faculty is in response to the demand of companies that are in need of IT technicians and mathematicians that can deal with the real problems of design, production, and management, as well as the creation of practical solutions for each of these problems.

Offer of courses

Please, note that the minimum number of students in a group required to open a course is 7. For more information regarding courses please contact Exchange Coordinator at FCST - Ms Margareta Wiciak, PhD, contact: erasmusfmi@pk.edu.pl

or visit https://it.pk.edu.pl/?lang=en&p=news.php&opt=for-erasmus


Computer Modelling

Data Mining with R

Differential Geometry

Elements of Artificial Intelligence

Introduction to Databases

Mathematical Finance

Neural Networks

Number Theory

Object-oriented programming

Parallel and Distributed Programming

Software Engineering

Statistical Learning Models

Theory and Application of Fourier Series


Actuarial Methods


Calculus of Variations

Computer Image Processin

High Performance Computing

Introduction to Database

Knot Theory

Logic and Foundations of Computer Science

Machine Learning in data processing and analytics

MATLAB Programming

Mobile Technologies and Programming

Natural Language Processing

Numerical Analysis

Probability and Statistics

Processing of Big Data using Apache Spark

Python Programming

Statistical Learning Models