University of Szeged

What you'll study

This master's programme combines taught modules with a substantial independent research or development project. Core topics typically include advanced algorithms and data structures, machine learning and artificial intelligence, software engineering and verification, databases and information systems, computer architecture and operating systems, and principles of distributed and cloud computing.

Students usually follow a mix of compulsory and elective modules, allowing specialisation in areas such as data science, cybersecurity, formal methods, computer vision, human–computer interaction or high-performance computing. The programme culminates in a master's thesis or industry-linked project that demonstrates the ability to apply theoretical knowledge to a substantial, original problem.

• Advanced Algorithms and Complexity
• Machine Learning and Statistical Methods
• Software Engineering, Design and Verification
• Databases, Big Data and Information Retrieval
• Operating Systems, Networks and Distributed Systems
• Security and Privacy
• Research Methods and Scientific Communication
• Master's Thesis / Project

Entry requirements

Applicants are expected to hold a recognised undergraduate degree in computer science, software engineering, information technology or a closely related discipline. Candidates with a strong mathematical or engineering background plus demonstrable programming experience may also be considered, but may be required to satisfy additional preparatory requirements.

Typical admissions criteria include evidence of satisfactory academic performance at bachelor's level, a transcript, and a CV detailing relevant practical or research experience. Applicants whose first language is not English will need to demonstrate proficiency through an approved English language qualification or other recognised evidence of language ability. Some applicants may be asked to provide a statement of purpose and academic references, and research-focused applicants may be invited to discuss their proposed thesis topic with a potential supervisor.

Career prospects

Graduates from the MSc Computer Science programme move into a broad range of technical and research roles. Common career destinations include software development, systems architecture, data science and analytics, machine learning engineering, cybersecurity, database administration and cloud services. The programme also prepares students for research careers and doctoral study, with many alumni continuing to PhD programmes or joining university and industry research labs.

The combination of theoretical foundations, practical project work and optional industry collaboration helps graduates to adapt to roles in startups, established technology firms, research institutes and non-IT sectors that require advanced computing expertise.

Why study at University of Szeged

The University of Szeged is a comprehensive Hungarian university with active research groups in areas such as algorithmics, artificial intelligence, software engineering and information theory. The Faculty of Science and Informatics (and its associated departments) offers access to specialised laboratories, computing facilities and a supervisory community engaged in international research collaborations.

Studying at Szeged provides a balance of rigorous academic training and opportunities for applied work with regional and international industry partners. The city of Szeged offers an international student environment, reasonable living costs compared with many Western European cities, and a supportive academic culture for students seeking to progress to professional practice or further research.