Máster en Ingeniería de la Inteligencia Artificial

evento el 20 de marzo de 2025

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.
• Con base en hechos y suposiciones razonables, conectar diferentes conocimientos en el campo de la informática, incluidos, entre otros, modelado de sistemas, procesamiento, visualización y análisis de datos, inteligencia artificial y métodos de aprendizaje automático, formando así una imagen más completa del problema o solución evaluados, posibles soluciones y perspectivas futuras.
• Aplicar el campo de estudios profundos en informática, concentrándose principalmente en el conocimiento de la inteligencia artificial, en la creación de soluciones para la resolución de problemas científicos o profesionales y la realización de investigaciones científicas.

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

• Modelar problemas nuevos, insuficientemente definidos, de diferentes campos de actividad, mediante la aplicación de la metodología de investigación científica y los métodos formales de la informática, teniendo plenamente en cuenta las limitaciones reales y potenciales y los requisitos planteados o extraídos.
• Metódicamente, aplicando detalles de diferentes niveles de abstracción, preparar la especificación de la investigación o solución de inteligencia artificial en desarrollo, la documentación de los resultados obtenidos y las descripciones de las posibilidades de desarrollo para investigar o resolver un problema nuevo, complejo, insuficientemente definido.
• Después de evaluar el impacto de las soluciones tecnológicas y de gestión que se pueden utilizar en la implementación final de la investigación o de una tarea nueva, compleja, insuficientemente definida, con base en conclusiones razonables, se determinan los medios más adecuados para planificar e implementar adecuadamente una nueva o modificar una solución de inteligencia artificial existente.

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
• Ingeniero de procesamiento del lenguaje natural (PLN)
• Computer Vision Engineer
• Robotics Engineer
• Deep Learning Scientist
• Diseñador/desarrollador de sistemas de IA
• AI Consultant

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