Master’s study program in Digital Twin Technology combines fundamentals of intelligent systems, signal processing and mathematical modelling that enables engineers to create a digital models of various machines, nature processes and even humans. This study program fosuces on new emmerging technologies that currently are successfully appied in development of digital twins in various applications. Students will learn how using artificial intelligence models we can build digital twin of the human as a 3D model, emulate speech, mimics and body gestures. Subjects related to real-time systems, signal processing will lead to understanding how new digital twin technologies are developed to maintain complicated automation systems, enables to develop smart house control algorithms, predict failures of different mechatronic systems, emulate behavior of different sensors that work simulatenously in complex environments, such as autonomous vehicles.

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Students in the Digital Twin Technologies Master's degree programme will gain specialized knowledge and hands-on skills to design, implement, and refine digital twin systems. They will explore cutting-edge topics, including generative modeling, avatar creation, human speech synthesis, and behavior modeling. These concepts will be applied to practical challenges in smart infrastructure, autonomous vehicles, and industrial systems, utilizing IoT and 5G technologies. Additionally, students will have opportunities to participate in real-world projects requiring digital twin solutions or analyze recent case studies from Lithuania and Europe, providing valuable experience and a deep understanding of industry practices. 
The programme also emphasizes the development of soft skills such as teamwork, leadership, and effective communication, preparing students to work collaboratively in multidisciplinary teams. By mastering both technical and interpersonal skills, graduates will be well-equipped to develop and implement digital twin solutions across various sectors, empowering technological advancements in a rapidly evolving digital landscape.