MSc Artificial Intelligence and Data Science

Overview

Artificial intelligence is reshaping industry and society much like electricity did a century ago. This English-language master's program prepares you to be part of that change by building broad, deep expertise in AI alongside core data science skills. You will learn how to obtain, process and store the large volumes of data that underpin modern AI systems, and gain the algorithmic and engineering know-how needed to develop and deploy AI solutions.

A distinctive feature of the program is a mandatory, integrated internship that lets you apply classroom learning in real-world settings. The curriculum is designed with strong ties to regional high‑tech companies and a cross‑border, international orientation that supports EU goals for cooperative learning, research and teaching. Studying alongside an international cohort will help you develop intercultural competence, hands‑on experience, and a practical foundation for innovation and career opportunities in AI and data science.

Requirements / key facts

• Taught in English
• Data science is an integral component (focus on handling large datasets: acquisition, processing, storage)
• Mandatory integrated internship to apply theory in practice
• Cross-border and industry-linked program with an international student body and emphasis on cooperative learning and research

Curriculum overview

This two-year (four-semester) English-language master's programme combines core theory, hands-on engineering and a compulsory professional internship to prepare you for careers or research in AI and data science. You will spend the second semester at the partner institution (University of South Bohemia), gaining exposure to a different academic environment and complementary course offerings. Coursework is followed by a master's seminar, an independent thesis and a final state examination in the fourth semester.

The first year focuses on foundational theory and machine learning practice: topics include theoretical fundamentals of artificial intelligence, advanced machine learning, software development for AI, and elective modules chosen to match your interests. At the partner university in semester two you deepen mathematical and information-theoretic foundations (Information Theory; Mathematics for AI and Data Science), explore computational intelligence, feature engineering, advanced data storage and analysis techniques, and parallel programming for scalable computation. The third semester is dedicated to a mandatory internship plus two further electives, linking academic learning to workplace experience.

In the final semester you cover advanced topics in AI, present and defend a master’s seminar, write your master’s thesis and sit the state exam. Throughout the programme you also take language instruction (German or Czech) and select four elective courses in consultation with the MAID study coordinator; electives must be relevant to AI and/or data science. Graduates will emerge with advanced machine learning and data engineering skills, practical experience from an industry or research internship, and the ability to design, implement and evaluate AI systems at scale.

Key modules and learning outcomes

• Theoretical Fundamentals of Artificial Intelligence — rigorous grounding in core AI concepts and formal methods
• Advanced Machine Learning — deep learning and modern ML techniques for modelling complex data
• Information Theory & Mathematics for AI and Data Science — mathematical foundations for algorithms and statistical inference
• Computational Intelligence & Feature Engineering for Data Science — techniques for building effective representations and intelligent systems
• Advanced Data Storage and Analyses & Parallel Programming and Computing — skills for handling large datasets and scalable computation
• Advanced Topics in AI, Master’s Seminar, Master’s Thesis and State Exam — research-oriented training, scientific communication and independent project completion

Requirements (concise)

• Programme length: 4 semesters (full-time)
• Instruction language: English only
• Mandatory second semester at the partner university (University of South Bohemia)
• Compulsory internship in semester three
• Four electives (Elective 1–4) selected in consultation with the MAID study coordinator; must be relevant to AI and/or data science
• German or Czech language course taken during semesters where indicated
• Completion of master’s seminar, master’s thesis and state examination in semester four

Graduates are prepared for technical and development roles in AI and data science across industry sectors, including positions that require building and deploying machine learning systems, managing large-scale data infrastructures, or developing computational intelligence solutions. The combination of theory, applied coursework, internship experience and an international semester also provides a solid foundation for roles in research labs or for continuing to doctoral studies.