Startups
Build technology for your future company during three semesters of the research-and-deployment project course.
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Studiuj AI @ PWr
Admissions guideAI Department
A three-semester master programme that deepens knowledge of artificial intelligence and data science and prepares students for a research-and-deployment project.
For candidates interested in data analysis and artificial intelligence who can program and have solid mathematical and algorithmic foundations.
Programme vision
The three-semester master's programme leads to the degree of Master of Engineering. Core courses deepen expertise in machine learning, deep learning, optimisation, and NLP, while electives focus on advanced applications of AI.
AI @ PWr offers unique courses in digital media analysis, representation learning, and computational linguistics — rare among Polish universities.
1,050 hours of theoretical and practical classes in total.
Career paths
Build technology for your future company during three semesters of the research-and-deployment project course.
From the first semester, your research interests can become a regular project with publications and additional funding through department research grants.
After graduation, work in research and development teams creating products and services that use artificial intelligence.
Curriculum
Semester 1
Methodology of research-and-deployment projects
1 ECTS
Complex networks
2 ECTS
Foundations of optimization
2 ECTS
Probabilistic graphical models
7 ECTS
Deep neural networks
6 ECTS
Machine learning
5 ECTS
Data processing and knowledge discovery
3 ECTS
Representation learning
3 ECTS
Research-and-deployment project 1
2 ECTS
Semester 2
Foreign language
1 ECTS
Thesis work 1
3 ECTS
Natural language processing
6 ECTS
Research-and-deployment project 2
3 ECTS
Elective course from Block 1
2 ECTS
Elective course from Block 1
2 ECTS
Elective course from Block 1
2 ECTS
Elective course from Block 2
4 ECTS
Elective course from Block 2
4 ECTS
Elective course from Block 3
2 ECTS
Semester 3
Data visualization and communication
2 ECTS
Research-and-deployment project 3
3 ECTS
Foreign language
2 ECTS
Diploma seminar
2 ECTS
Thesis 2
15 ECTS
Elective course from Block 2
4 ECTS
Elective course from Block 3
2 ECTS
Elective block Blok 1
Recommender systems and personalization
2 ECTS
Affective computing
2 ECTS
Spatial data processing
2 ECTS
Digital media analysis
2 ECTS
Applications of fuzzy techniques
2 ECTS
Language data mining
2 ECTS
Elective block Blok 2
Metaheuristics
4 ECTS
Audio analysis and processing
4 ECTS
Image and video analysis and processing
4 ECTS
Big data processing
4 ECTS
Complex data processing
4 ECTS
Advanced deep neural network models
4 ECTS
Privacy protection techniques in data processing
4 ECTS
Biometrics
4 ECTS
Elective block Blok 3
Innovation and entrepreneurship in Artificial Intelligence
2 ECTS
Business and technology in artificial intelligence companies
2 ECTS
Legal, social and ethical aspects of artificial intelligence
2 ECTS
Apply
Current dates and requirements are listed in the Wrocław University of Science and Technology recruitment system.