Menu
Admissions
Study options
Bachelor study
Master's study
Doctoral study
Erasmus students
Exchange students
Study programs
Lifelong learning
One-semester projects and interns
Admission procedures
Admission procedure step-by-step
Tuition fees
Admission fee
Contact
Life at FEE CTU
Why study at FEE CTU
Czech academic system
Arrival Guide
Health insurance
Student and Alumni stories
Video lectures
Students Associations
Students with specific needs
Events
Open days for bachelor's study programme
Open days for master's study programme
Open days for doctoral study programme
Everything for applicants
Research
Research topics
Research groups and laboratories
Research achievements and awards
Video tours of laboratories
Doctoral studies
All about research
Cooperation
For companies
For students
For high school associated with our faculty
All about collaboration
Faculty
About the faculty
Contacts
Careers
Departments
Faculty structure
People
Map of rooms and classrooms
Ombudsperson
Equal opportunity
All about the faculty
More
What's on
News
Events
Information service
For media
For employees
For students
Dark mode
Light mode
System setting
Dark mode
Light mode
System setting
Search
Search
Otevřená informatika
O programu
Charakteristika programu
Co se o OI říká
Vyučující
Video prezentace
Novinky
Web programu
O programu
Zájem o studium
Bakalářské studium
Magisterské studium
Studijní plány
Doktorské studium
Zájem o studium
Výzkum
Kontakty
Přihláška
Faculty of Electrical Engineering
Admissions
Study options
Study plan
Open Informatics - Data Science 2026
1st semester
Advanced Algorithms
P
6cr.
Combinatorial Optimization
P
6cr.
Database systems 2
PS
6cr.
Statistical data analysis
PS
6cr.
Safety in Electrical Engineering for a master´s degree
P
0cr.
Elective subjects
V
6cr.
Deep Learning Essentials
V
6cr.
Large Language Models with Applications
V
6cr.
Machine Learning Engineering
V
6cr.
Reinforcement Learning
V
6cr.
2nd semester
Software or Research Project
P
6cr.
Theory of Algorithms
P
6cr.
Machine Learning Methods
PS
6cr.
Visualization
PS
6cr.
Elective subjects
V
6cr.
Deep Learning Essentials
V
6cr.
Large Language Models with Applications
V
6cr.
Machine Learning Engineering
V
6cr.
Reinforcement Learning
V
6cr.
3rd semester
Diploma Project
P
10cr.
Diploma Project Results
P
2cr.
Causal Inference and Bayesian Networks
PS
6cr.
Ontologies and Semantic Web
PS
6cr.
Elective subjects
V
6cr.
Deep Learning Essentials
V
6cr.
Large Language Models with Applications
V
6cr.
Machine Learning Engineering
V
6cr.
Reinforcement Learning
V
6cr.
4th semester
Diploma Thesis
P
18cr.
Elective subjects
V
12cr.
Deep Learning Essentials
V
6cr.
Large Language Models with Applications
V
6cr.
Machine Learning Engineering
V
6cr.
Reinforcement Learning
V
6cr.
Responsible person
Ing. Mgr. Radovan Suk