Study location	Lithuania, Vilnius
Academic field	Artificial intelligence not elsewhere classified (JACS I490)
Type	Graduate, full-time
Nominal duration	2 years
Study language	English
Awards	Master (Master of Informatics Engineering)
Course code	6211BX015

Tuition fee	€5,950 per year
Application fee	€100 one-time Bank’s name: SEB Bankas AB, Vilnius, Address: Gedimino pr. 12, LT-01103 Vilnius Code: SWIFT: CBVI LT 2X To whom: Vilnius Gediminas Technical University Account No (IBAN). LT767044060000317763

Entry qualification

Undergraduate diploma (or higher) To this programme applicants are accepted from the fields of: Electronics Engineering, Electrical Engineering, Information Systems, Software Engineering, Informatics Engineering. The entry qualification documents are accepted in the following languages: English / Russian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take verified copies of the entry qualification documents along with you when you finally go to the university.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent

Other requirements

At least 1 reference(s) should be provided. A motivation letter must be added to your application. Curriculum Vitae; A Copy of Passport; Passport Photo. Specific requirements for Non-EU applicants: Non conviction/ Police clearance certificate issued in the the last country of residence (must be legalized with an apostille or in the Ministry of Foreign Affairs). The certificate should be submitted before coming to Lithuania.

More information	vilniustech.lt/..al-twin-technology/370142

Overview

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.

Programme structure

Two year long programme (4 semesters), 3 semester of studies, 1 semester of writing final project.

Career opportunities

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