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Management of Artificial Intelligence Solutions
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Management of Artificial Intelligence Solutions
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Artificial intelligence (AI) solutions are increasingly used in business and private life. They provide opportunities to automate routine work, 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.
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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Tuition fee for non EU citizens |
5410 EUR per year
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Start | 1st of September |
Entry Qualifications | To this programme applicants are accepted from any field, where study programme had at least 6 ECTS of math (probability theory, statistics, etc) and at least 6 ECTS of IT courses. |
What is this study programme 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.
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What are the outcomes of this study programme?
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.
• 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.
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, Ukraine, Belarus and many other countries around the world for one or two semesters.
During studies, an international study experience is ensured, as joint lectures with students from other European universities are integrated in at least one study subject every semester, guest lectures are taught by experts from Lithuania and other European countries from universities, research centers and companies. This makes it possible to form a more global approach to the field of artificial intelligence, its application in various fields, possible nuances of management.
During studies, an international study experience is ensured, as joint lectures with students from other European universities are integrated in at least one study subject every semester, guest lectures are taught by experts from Lithuania and other European countries from universities, research centers and companies. This makes it possible to form a more global approach to the field of artificial intelligence, its application in various fields, possible nuances of management.
CUSTOMIZE YOUR EXPERIENCE
You will have plenty of opportunities to apply and diversity your skills through graduate projects, internships, career programmes, clubs and societies.
This master's degree is organised within the framework of the European MERIT project, through the funding of the Digital Europe programme, in collaboration with three European universities, SMEs, digital innovation hubs and research centres. The European project provides funding such as student grants. Through MERIT students have the opportunity to connect—and work with—academics and industry professionals across Europe. Placement opportunities and short-term visits will be made available.
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
• AI project director
• AI business development manager
• AI product manager
• AI system analyst
• AI system architect
• Process automation specialist
• Data scientist
• AI Consultant
Techer testimonials
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Simona Ramanauskaitė from Lithuania
Manager and one of the teachers of the study programme
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- Page administrators:
- Karolina Kalinauskaitė
- Dovilė Jodenytė
- Kristina Lazickienė
- Ugnė Daraškevičiūtė