Vilnius Gediminas Technical University

人工智能工程硕士

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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.
• 基于事实和合理假设，连接信息学领域的不同知识，包括但不限于系统建模、数据处理、可视化和分析、人工智能和机器学习方法，从而形成对所评估问题或解决方案、可能的解决方案和未来前景的更完整的图景。
• 应用信息学的深入研究领域，主要集中在人工智能知识，为解决科学或专业问题提供解决方案并开展科学研究。

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

• 应用科学研究方法和计算机科学的形式化方法，充分考虑实际的和潜在的局限性以及提出或提取的要求，对不同活动领域的新的、定义不充分的问题进行建模。
• 有条不紊地应用不同抽象层次的细节，准备正在开发的研究或人工智能解决方案的规范、所获得的结果的文档以及研究或解决新的、复杂的、定义不充分的问题的开发可能性的描述。
• 在评估可用于最终实施的研究或新的、复杂的、定义不充分的任务的技术和管理解决方案的影响之后，基于合理的结论，规划和适当实施新的或修改现有的人工智能解决方案的最合适的手段。

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 Engineer
• Data Scientist
• Machine Learning Engineer
• 自然语言处理（NLP）工程师
• Computer Vision Engineer
• Robotics Engineer
• Deep Learning Scientist
• AI 系统设计师/开发人员
• AI Consultant

2 years (4 semesters) graduation is finalized with the defense of Final project