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Master of Science
On Campus
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AGH University of Science and Technology
Poland

Computer Science and Intelligent Systems - Artificial Intelligence and Data Analysis

About

The AGH University of Science and Technology offers the Master of Science program in Computer Science and Intelligent Systems - Artificial Intelligence and Data Analysis as a 1.5-year, full-time, on-campus degree within the field of Computer Sciences. This program focuses on advanced methods in artificial intelligence, machine learning, and data analytics, preparing students to design and implement intelligent systems capable of processing large-scale and complex datasets. Key study areas include neural networks, statistical learning, big data processing, and intelligent decision-support systems.

Graduates are well-prepared for careers in artificial intelligence development, data science, software engineering, and research roles across technology-driven industries. The program emphasizes Machine Learning Systems through practical programming projects, real-world data analysis, and AI model development, enabling students to build innovative solutions for predictive analytics, automation, and intelligent computing applications.

Key Facts

Program Details
Degree: Master of Science
Location: Poland
Academic Information
Area of study: Computer Sciences
Study Format
Study Type: On Campus
Format: Full-time
Language
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Key Facts

  • Program Title: Computer Science and Intelligent Systems - Artificial Intelligence and Data Analysis
  • Degree Type: Master of Science
  • Duration: 1,5 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 05 September 2026
  • Location: AGH University of Science and Technology, Poland
  • Field of Study: Computer Sciences
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations in Artificial Intelligence and Data Analysis

  • Introduction to Artificial Intelligence
  • Machine Learning and Data Analysis
  • Computational Intelligence Systems
  • Research Methods in Computer Science

Semester 2 – Advanced AI and Data Analysis

  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Big Data and Data Analytics Tools
  • Seminar: Applications of AI in Industry

Semester 3 – Specialization & Applied Research

  • AI in Robotics and Automation
  • Advanced Data Mining and Predictive Analytics
  • Research Project / Fieldwork in AI Systems
  • Elective Modules in Data Engineering or AI Ethics

Semester 4 – Master’s Thesis & Final Project

  • Independent Research / Thesis
  • Data Analysis and AI Applications
  • Presentation & Academic Portfolio Development

Career Opportunities

Graduates of the Computer Science and Intelligent Systems - Artificial Intelligence and Data Analysis program are well-prepared for careers in AI development, data science, and machine learning. They can work as AI engineers, data analysts, machine learning specialists, and business intelligence consultants. With the growing importance of AI and data-driven decision-making across industries, professionals in AI and data analysis are in high demand. Graduates often work in tech companies, financial institutions, healthcare organizations, and research labs, developing AI models and data-driven solutions.

Why Choose This Program

The Computer Science and Intelligent Systems - Artificial Intelligence and Data Analysis program provides students with in-depth knowledge of AI technologies, machine learning algorithms, and data analysis techniques. Students gain hands-on experience in designing intelligent systems and analyzing large datasets, preparing them for high-demand roles in AI and data science. The program’s focus on cutting-edge technologies ensures that graduates are well-equipped to work in the rapidly evolving field of AI.

Contact Information

For further information, please contact the admissions office at:
Phone: +48 12 617 20 00
Email: admission@agh.edu.pl
Address: AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland

Duration
-
Tuition fee
$4,924.00/year
Location
Poland
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