Management of Artificial Intelligence Solutions
24 monthsProgramme duration
5,950 EURTuition Fee/year
15 Jun, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MEng
Study Level
Masters
Study Mode
On Campus
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, among the developers of innovative artificial intelligence solutions and the sector that can fully apply those technologies.
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 it 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 or 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, 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, 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 plan and properly apply selected artificial intelligence solution. 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 behavior 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, in order 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, 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 moving 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.
What about career opportunities after Master's degree studies? Graduates can join PhD studies or will have the following carrier opportunities: • AI project director • AI business development manager • AI product manager • AI system analyst • AI system architect • Process automation specialist • Data scientist • AI Consultant
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MEng
Study Level
Masters
Study Mode
On Campus
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, among the developers of innovative artificial intelligence solutions and the sector that can fully apply those technologies.
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 it 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 or 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, 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, 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 plan and properly apply selected artificial intelligence solution. 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 behavior 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, in order 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, 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 moving 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.
What about career opportunities after Master's degree studies? Graduates can join PhD studies or will have the following carrier opportunities: • AI project director • AI business development manager • AI product manager • AI system analyst • AI system architect • Process automation specialist • Data scientist • AI Consultant
Admission Requirements
Bachelor's degree or its equivalent (official transcripts required) in a relevant field with minimum 60% CGPA and English language proficiency level B2.
Record an interview.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
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