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Digital Twin Technology
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Digital Twin Technology
Graduates of 2 year Master's degree studies receive a Master Informatics Sciences.
This application system is intended non-EU applicants. Citizens of the Republic of Lithuania or other member states of the European Union (EU) or European Economic Area (EEA), as well as persons (non-EU/EEA) granted a right of permanent residence in the Republic of Lithuania, holders of Diaspora and people of Lithuanian origin have a possibility to apply for a state-funded place. More information.
This application system is intended non-EU applicants. Citizens of the Republic of Lithuania or other member states of the European Union (EU) or European Economic Area (EEA), as well as persons (non-EU/EEA) granted a right of permanent residence in the Republic of Lithuania, holders of Diaspora and people of Lithuanian origin have a possibility to apply for a state-funded place. More information.
overview
Degree |
Master of Informatics Sciences
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Length, structure |
2 years (4 semesters) graduation is finalized with the defense of Final project
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Specializations | Digital Twin Technologies |
Tuition fee for non EU citizens |
5950 EUR per year
For EU/local citizens State funding is available, more information.
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Start | 1st of September |
Entry Qualifications | To this programme applicants are accepted from fields of: Electronics Engineering, Electrical Engineering, IT, Computer Science, Information Systems, Software Engineering, Informatics Engineering. |
What is the purpose of this study programme?
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 focuses on new emerging technologies that currently are successfully applied 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 simultaneously in complex environments, such as autonomous vehicles.
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What will students learn?
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.
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.
Exchange Period Abroad?
According to various international cooperation and exchange programs there is an opportunity to study in Germany, Austria, Finland, Greece, Portugal, South Korea, Taiwan, Poland and many other countries around the world for one or two semesters.
CUSTOMIZE YOUR EXPERIENCE
You will have plenty of opportunities to apply and diversity your skills through graduate projects, internships, career programmes, clubs and societies.
What about career opportunities after Master's degree studies?
Graduates can pursue PhD studies or have the following career opportunities:
• Digital Twin Engineer
• Systems Integration Engineer
• IoT Systems Engineer
• Simulation Engineer
• Industrial Automation Engineer
• Predictive Maintenance Specialist
• Building Information Modeling (BIM) Specialist
• AI Systems Engineer
• Smart Home Systems Engineer
• Technology Consultant in Digital Twin Solutions
• Digital Twin Engineer
• Systems Integration Engineer
• IoT Systems Engineer
• Simulation Engineer
• Industrial Automation Engineer
• Predictive Maintenance Specialist
• Building Information Modeling (BIM) Specialist
• AI Systems Engineer
• Smart Home Systems Engineer
• Technology Consultant in Digital Twin Solutions
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- Lina Dragel
- Lina Petrauskienė
- Dovilė Jodenytė
- Ugnė Daraškevičiūtė