There is a new program offered by Faculty of science, University of Pavel Jozef Safarik in English language. The program is offered at Bachelor and Master level and accepting application from 2020/2021.
Faculty of science
University of Pavel Jozef Safarik University
Duration: 3 years for Bachelor studies and 2 years for Master studies
Data Analysis and Artificial intelligence – Bachelor level curriculum
1st year of study
- Introduction to data analysis – from the very beginning of the study the student gets an idea of what and why he will study and how it can be used
- Algebra – mathematics distinguishes our graduates from users of various analytical tools (we show that you can learn interestingly and with applications)
- Mathematical software – many things can not be counted without a computer, but software also needs to be chosen and used
- Introduction to Computer Science – if someone has missed something in high school, they have a chance
- Operating system user environments – using a computer is a prerequisite for working with data
- Database systems – data must be stored somewhere and manipulated effectively
- Programming, algorithms, complexity – data needs to be processed and prepared, and a “back door” is also required if a graduate wants to change profiling in the future
- Professional English for Science – Data analysis and artificial intelligence cannot be done without a foreign language
2nd year of study
- Real Variable Functions, Linear and Integer Optimization, Discrete Mathematics for Computer Science, Real Variable Functions
- Probability Theory – Many things around us are not deterministic
Introduction to machine learning – machine learning today “moves the world” and needs to be known - Introduction to Information Security – Data should be handled with care
Automata and formal languages - programming languages are changing, but the principles remain - Programming in Python for Advanced – We keep up with the times and current trends
Project – practical experience from processing life cycle is priceless
3rd year of study
- Mathematical statistics – nor classical methods of data analysis “did not say the last word”
Project – practical experience is never enough - Numerical methods – not everything can be calculated accurately, but real life expects a solution
Functional programming, Competitive programming – you have to look at every problem from several sides - Introduction to Neural Networks
- Big Data Processing Technologies – Anyone talks about big data, but our graduates also have experience from large corporations (Google, Facebook, T-Systems,…) and are willing to teach our students
- Selected applications of data analysis – data and artificial intelligence have applications in astronomy, nuclear physics, bioinformatics, geographic information systems,… – we have the experts
More details: https://www.upjs.sk/prirodovedecka-fakulta/en/potential-students/int-study/adui-bachelor/
https://studijne-programy.upjs.sk/en/programme/ADUIb
Data analysis and artificial intelligence – Master level
1st year of study
- Combinatorial algorithms, Random processes, Multivariate statistical methods – the world needs to be modeled and properly understood
- Seminar on Data Management – we will look at real practical problems in cooperation with partners
- Computational Complexity, Organizing and Processing Data, Parallel and Distributed Systems – Even today’s computing capacity is not enough for all types of problems, and then “human reason must come”
- Machine Learning – Autonomous and expert systems cannot be imagined without machine learning today
2nd year of study
- Neural networks – deep neural networks celebrate one success after another and every data analyst must control them
- Classical and quantum calculations – quantum computers are no longer a utopian dream and our graduates walk with the times
- Approximation and probabilistic algorithms – tools to solve various problems is never enough
Seminar on Data Management – we will look at real practical problems in cooperation with partners - … And moreover, we have an offer of other subjects from different fields of science (not only at our faculty), through which the student can create an individual profile.