Czestochowa University of Technology
Master in Artificial Intelligence and Data Science, Specialisation Computational Intelligence and Data Science (MSc)Częstochowa, Poland
DURATION
3 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Nov 2025
EARLIEST START DATE
Feb 2026
TUITION FEES
EUR 1,200 / per semester *
STUDY FORMAT
On-Campus
* plus additional non-refundable 85 PLN (approx. 21 EUR) recruitment fee
Key Summary
Introduction
Computational Intelligence and Data Science speciality is addressed to candidates interested in knowledge of modern methods of artificial intelligence and, in particular, computational intelligence and its applications, e.g. the analysis of big data and data mining. The proposed subject is closely related to scientific research conducted by the Faculty of Computer Science and Artificial Intelligence. This ensures a professional level and topicality of classes. Obtained knowledge and experience allow working within processing statistical data including economic, marketing, medical, etc., which today is a key component of economic activity. The presented methods are also inseparable elements of modern systems processing data streams representing, for example, sound and image in industrial and consumer devices. Graduates can therefore use obtained knowledge in a variety of design teams. Extremely important is also the ability to acquire experience in the use of specialized software.
Admissions
Curriculum
Year I
Semester 1
- Introduction to Algorithms & Programming
- Evolutionary Algorithms & Search Strategies
- Fuzzy Systems & Uncertain Processing
- Probabilistic Systems Analysis (& Statistics)
- Data Bases & Warehouses
- Selected Problems of Applied Mathematics
- Training on Safe and Hygienic Education Conditions
- Technical and Scientific English
Semester 2
- Neural Networks & Machine Learning
- Big Data & Data Mining
- Intelligent Systems of Signal Processing
- Intelligent Analysis in Computer Forensic
- Theory of Games and Decisions
- Labor Market and Economic Activity
- Intellectual Property in Technique and Science
Year II
Semester 3
- Application of Artificial Intelligence I
- Application of Artificial Intelligence II
- Application of Artificial Intelligence III
- Application of Artificial Intelligence IV
- Diploma Seminar and MSc Thesis Preparation
- Methodology of Scientific Research
Program Outcome
- Proficiency in analyzing large datasets, identifying patterns, and deriving actionable insights using sophisticated statistical methods and machine learning algorithms
- Deep understanding of machine learning models, neural networks, and artificial intelligence techniques, enabling them to design, implement, and optimize intelligent systems and applications
- Expertise in data collection, cleaning, transformation, and storage, ensuring the integrity and usability of data for analysis
- Ability to conduct independent research, develop innovative solutions to complex problems, and stay updated with the latest advancements in AI and data science
- Strong problem-solving abilities, capable of applying theoretical knowledge to real-world scenarios, optimizing processes, and improving decision-making through data-driven approaches
Career Opportunities
Skills related to data analysis, creating predictive models, and process automation are increasingly sought after across a wide range of applications. Graduates of the Artificial Intelligence and Data Science program can find employment in many industries, including:
- Technology companies
- Startups focused on new technologies and innovations
- Institutions involved in credit risk analysis, fraud detection, or stock trading
- Medical data analysis and genomics
- Automation of medical diagnostics, such as medical image recognition
- Customer behavior analysis
- Personalization of advertising content
- Creation of recommendation systems
- Shopping cart analysis
- Supply chain optimization