Vilnius Gediminas Technical University
Master in Management of Artificial Intelligence Solutions
- Vilnius, Lithuania
- Lithuania, Lithuania
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
15 Jun 2026*
EARLIEST START DATE
TUITION FEES
EUR 5,950 / per year **
STUDY FORMAT
On-Campus
* for Non-EU Applicants
** for non EU citizens
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Key Summary
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Artificial intelligence (AI) solutions are increasingly used in business and private life. They provide opportunities to automate routine work and apply modern technologies to intelligent decisions. However, there is a shortage of artificial intelligence specialists in Lithuania and around the world. These specialists are able to understand the possibilities of existing technologies and properly manage the process of their development and implementation.
The master's study program Management of Artificial Intelligence Solutions focuses on a comprehensive understanding of artificial intelligence. This is needed to properly manage artificial intelligence projects and solutions. In this study program students will study the life cycle of artificial intelligence projects, their organization, and their execution. Technical knowledge and skills to develop AI solutions will be provided to the extent that students can fully understand the principles of their activities. However, significant attention will be paid to the proper application, empowerment and management of these technologies. Therefore, not only graduates of computer science studies can study in this program. In addition, individuals who want to retrain and become intermediaries, are among the developers of innovative artificial intelligence solutions and the sector that can fully apply those technologies.
What is this study programme's aim?
The aim of this master's degree program is to prepare highly qualified information system specialists with analytical thinking and the ability to compete in a rapidly changing environment, who have a wide understanding of the field of artificial intelligence, know the artificial intelligence system life-cycle, possibilities of artificial intelligence solutions application and development, are able to apply the existing artificial intelligence and/or automation solutions to solve the newly risen challenges, evaluate quality of system and artificial intelligence solutions, based on relevant criteria results of executed research, lead as well as manage this kind of projects.
Knowledge
- Explain in detail the concepts, technologies, applied tools, methods and limitations of artificial intelligence and its related fields, based on knowledge in the field of computer science, the results of fundamental or applied scientific research.
- Based on facts and reasonable assumptions, connect different knowledge in the field of informatics and project management in innovative and/or information systems engineering fields related to the application of artificial intelligence solutions.
- Apply deepened or broadened general knowledge of computer science in the field of information systems engineering, creating solutions for solving scientific, organizational, or professional problems and conducting scientific research.
Research skills
- Critically, reasonably, at different levels of abstraction, evaluate the presented and obtained knowledge, received data, and proposed solutions, taking into account the influence of relevant legal, business, industrial, economic and/or social contexts and the complexity of the problem.
- By applying effective research methodology and/or the most appropriate data analysis technologies, comprehensively investigate and solve the scientific or professional problem of the computer science field of study.
Special Skills
- Modeling new, insufficiently defined problems of different fields of activity, applying scientific research methodology and methods in the field of computer science, fully taking into account actual, and 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 applied, 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 to plan and properly apply selected artificial intelligence solutions.
Social skills
- Communicate fluently and professionally on topics in the field of artificial intelligence and digitization in national and English languages.
- Effectively work in teams and lead them in compliance with the principles and rules of professional, ethical behaviour and social responsibility.
Personal skills
- Independently and systematically investigate the latest technologies and solutions, creatively looking at their use and possible expansion in different tasks, to achieve personal, professional and scientific development.
- Apply a responsible and sustainable approach to activities performed independently and in a group, taking the initiative to propose the necessary solutions and assuming personal responsibility.
To achieve the objectives of the program, students during their studies will be involved in challenges offered by various organizations and ongoing research projects. Lectures will be held in cycles, concentrating simultaneously on one or two subjects of study. They will master them in 1-2 months, and then move on to the next subject of study provided for in the program. Lectures will be given not only by scientists and representatives of Lithuanian institutions but also by experts from other countries. This will allow students to have a wider range of study experiences and international knowledge of the field.
Graduates can join PhD studies or will have the following career opportunities:
- AI project director
- AI business development manager
- AI product manager
- AI system analyst
- AI system architect
- Process automation specialist
- Data scientist
- AI Consultant
2 years (4 semesters) graduation is finalized with the defense of Final project