MasterEngineering of Artificial Intelligence
| Study location | Lithuania, Vilnius |
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| Academic field | Artificial Intelligence 11.4 (ISCED 4811) Artificial intelligence not elsewhere classified (JACS I490) |
| Type | Graduate, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | Master (Master of Informatics Sciences) |
| Course code | 6211BX023 |
| Tuition fee | €5,410 per year |
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| Application fee | €100 one-time Bank’s name: SEB Bankas AB, Vilnius, |
| Entry qualification | Undergraduate diploma (or higher) To this programme applicants are accepted from fields of: IT, Electronics, Communications, Computer Engineering, Software Engineering, Information Technologies, Telecommunications Engineering. The entry qualification documents are accepted in the following languages: English / Lithuanian. 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. |
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| Territory requirements | Applications are NOT accepted from the following territories (based on citizenship): Lithuania. |
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| Language requirements | English |
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| Other requirements | At least 2 reference(s) should be provided. A motivation letter must be added to your application. Curriculum Vitae; 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. |
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| More information |
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Overview
The master’s study program in Engineering of Artificial Intelligence focuses on preparing the next generation of AI specialists. The studies will not only delve into the core principles of the methods and technologies used in artificial intelligence. They will also focus on understanding and applying the latest technologies in different fields. The applied dimension will be ensured by mastering existing and emerging AI technologies for processing and generating different types of data (numeric, text, images, audio), by delving into the nuances of the infrastructure used for the relevant AI solutions (distributed systems, big data, the Internet of Things), taking into account the ethical, legal and end-user acceptance requirements of AI solutions.
The Engineering of Artificial Intelligence Master’s program at VILNIUS TECH special outcomes:
• Model new, insufficiently defined problems of different fields of activity, by applying scientific research methodology and formal methods of computer science, fully taking into account actual, potential limitations and raised or extracted requirements.
• Methodically, applying details of different levels of abstraction, prepare the specification of the research or artificial intelligence solution being developed, the documentation of the obtained results and the descriptions of the development possibilities for researching or solving a new, complex, insufficiently defined problem.
• After evaluating the impact of the technological and management solutions that can be used on the final implementation of the research or a new, complex, insufficiently defined task, based on reasonable conclusions, the most suitable means plan and properly implement a new or modify an existing artificial intelligence solution.
Programme structure
4 semesters. 3 semesters of studies and one semester of writing final thesis.
Courses include:
• Fundamentals of Artificial Intelligence
• Neural Networks
• System Engineering of Artificial Intelligence Solutions
• Computer Vision
• Natural Language Processing
• Speech Processing
• Reinforcement learning
• Cloud Computing and Big Data
• User Experience in Artificial Intelligence Solutions
• Federated Learning and IoT
• Master Graduation Thesis
• Fundamentals of Research and Innovation
Career opportunities
Graduates can join PhD studies or will have the following carrier opportunities:
• AI Engineer
• Data Scientist
• Machine Learning Engineer
• Natural Language Processing (NLP) Engineer
• Computer Vision Engineer
• Robotics Engineer
• Deep Learning Scientist
• AI system designer/developer
• AI Consultant
• Research Scientist