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II°Master's programme

Second-cycle studies in Artificial Intelligence

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.

Degree
Master of Engineering
Duration
1.5 years · 3 semesters
Language
Polish
Seats
64 seats

Programme vision

Advanced study, research, and deployment.

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

Three directions. One programme.

  1. 01

    Startups

    Build technology for your future company during three semesters of the research-and-deployment project course.

  2. 02

    Doctorates

    From the first semester, your research interests can become a regular project with publications and additional funding through department research grants.

  3. 03

    Industry R&D

    After graduation, work in research and development teams creating products and services that use artificial intelligence.

Curriculum

The curriculum, semester by semester.

Semester 1

I

31ECTS

  • 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

II

29ECTS

  • 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

III

30ECTS

  • 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

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

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

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

Apply through the IRK system

Current dates and requirements are listed in the Wrocław University of Science and Technology recruitment system.

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