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Master's Degree in Artificial Intelligence

The Master's Degree in Artificial Intelligence trains professionals capable of designing, developing and applying intelligent solutions based on advanced algorithms, machine learning and massive data processing. The program integrates theoretical and practical foundations to face technological challenges in various sectors, from industry to health and services.


Applicant profile
  • Demonstrates strong verbal communication skills.
  • Solves problems using mathematical and logical reasoning.
  • Analyzes and interprets charts, graphs, and statistical data.
  • Proposes solutions to social, cultural, or environmental challenges, drawing on experience and theoretical knowledge in the area of Technology, Engineering and Architecture.
Graduate profile

Applies machine learning models to manage information that facilitates decision-making, within the framework of the ISO 8000 standard.

Applies artificial intelligence solutions in organizational processes to optimize decision-making, aligned with the standards of the ISO/IEC 25010 standard.

Develops research projects in the field of artificial intelligence in relation to organizational processes, applying machine learning models and artificial intelligence solutions for decision-making, with ethics and social responsibility.

Complementary skills

In accordance with university regulations, students must demonstrate proficiency in a foreign language (or, where applicable, their native language). This includes the ability to speak clearly, understand what they read and hear, and communicate effectively in writing.

Curricular experiences
  • Deep Learning
  • Management and Technological Innovation

Study hours:

The synchronous activities of the master's degree take place through videoconferences on Wednesdays, Thursdays, and Fridays from 7:00 p.m., while the extracurricular counseling sessions are held on Saturdays, between 8:00 a.m. and 1:00 p.m., or from 2:00 p.m. to 9:00 p.m.

Syllabus

Cycle I
Cycle II
Cycle I
  • Python Fundamentals for Machine Learning
  • Machine Learning
  • Elective Curriculum Experience
  • Research Work I
Cycle II
  • Natural Language Processing (PLN)
  • Computer Vision
  • Generative Artificial Intelligence
  • Research Work II
     
Learn more about the postgraduate course of your interest
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Authorities and Outstanding Teachers

Carlos Manuel Díaz Mariños I UCV
Carlos Manuel Díaz Mariños

Director of the International Graduate School

Juan Pacheco Torres
Juan Francisco Pacheco Torres

Academic Director of the International Graduate School

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