The LLGA Master’s specialization is a two-year, fully English-taught degree with a strong international outlook. Designed for ambitious students, the specialization equips graduates with both a solid theoretical foundation and hands-on industry expertise in Generative AI. With a special emphasis on Large Language Models (LLMs) and graph-structured data, students gain the skills to harness cutting-edge technologies and apply them across diverse fields—from healthcare and biology to finance, social networks, and beyond.
In recent years, Generative AI has grown explosively, with Large Language Models (LLMs) transforming how society and the economy interact with the digital world. From translation and code generation to creative content and advanced reasoning, these technologies achieve tasks once unimaginable. The LLGA Master’s specialization prepares students to master this field, combining theory with real-world applications. Graph-based models, such as Graph Neural Networks (GNNs), add another layer by capturing complex structures in networks, molecules, or logistics. Together, LLMs and graph methods enable multimodal generative AI, opening opportunities in healthcare, finance, recommendation systems, and beyond.
The LLGA specialization provides a strong foundation in machine and deep learning, plus hands-on experience with cutting-edge generative techniques. Through projects, case studies, and industry applications, graduates gain rare expertise, equipping them to lead the next generation of AI innovation.
| Students are required to have a suitable background in mathematics and computer science. In practice, this means knowledge of linear algebra, statistics, as well as Python programming, algorithms and data structures. Some exposure to natural language processing and graph theory is desirable, but not required. Candidates with Bachelor degrees that are not in Mathematics or Computer Science are also admissible if the required knowledge domains are covered in their degree programs. |
Students will have highly suitable profiles for data science or AI roles in industry. While the LLM aspect of the specialization allows students to apply to companies in most digital companies, the graphs and applications aspect of the specialization prepares the students particularly well for roles in the pharma, logistics and communication industries. Graduates of the LLGA Master’s specialization are prepared for careers as AI/ML Engineers, Data Scientists, NLP Specialists, Graph AI Experts, and AI Research Scientists, as well as strategic roles such as AI Product Managers, Solution Architect. Opportunities span industries including tech, healthcare, finance, consulting, social media, e-commerce, and public institutions.
Also - since the specialization teaches cutting-edge methodology in a relevant field of research, pursuing a PhD after this program is perfectly possible.