
The Master's program in Computer Science at Graz University of Technology offers a specialized major in Machine Learning. This program delves into the theoretical foundations and practical applications of artificial intelligence and machine learning, equipping students with advanced skills in areas such as data analysis, pattern recognition, and predictive modeling. Students will engage with cutting-edge research and develop expertise in designing and implementing intelligent systems. This program is designed for students who have completed a relevant Bachelor's degree and wish to deepen their knowledge in the rapidly evolving field of machine learning. The curriculum combines rigorous academic study with hands-on projects, preparing graduates for impactful careers in research, development, and innovation across various industries.
The Master's program in Computer Science with a major in Machine Learning is structured over four semesters (two academic years).
Graduates with a Master's degree in Computer Science majoring in Machine Learning are highly sought after in a variety of fields. The program provides a strong foundation for careers in research and development, data science, AI engineering, and related technology sectors.
For non-native English speakers, proof of English proficiency is required. Specific requirements may vary, and candidates are advised to check the official admissions website for the most up-to-date information.
While tuition fees are waived for Master's programs, students are required to pay a students' union fee (ÖH contribution) per semester. This fee is currently €22.70 per semester.
Graz University of Technology (TU Graz) is a public university accredited by the Austrian Agency for Quality Assurance and Accreditation (AQ).
Tuition fees are waived for Master's programs at Graz University of Technology. However, students are required to pay a students' union fee of €22.70 per semester.
The program is structured over four semesters, spanning two academic years.
Applicants typically need a minimum IELTS score of 6.5 overall or a TOEFL iBT score of 90. Specific requirements may vary, so it's advisable to check the official admissions website.
The application period for the Winter Semester is until January 15, and for the Summer Semester, it is until July 15.
Graduates are prepared for roles such as Machine Learning Engineer, Data Scientist, AI Researcher, and Software Developer with an AI/ML focus.
A completed Bachelor's degree in Computer Science or a closely related field with a strong foundation in mathematics and computer science is required, equivalent to at least 180 ECTS credits.