VIU - Universidad Internacional de Valencia

Official Master's Degree in Artificial Intelligence

• Official title
• Spanish
• 12th Edition
• Modality: Online
• Credits: 60 ECTS

Official Master's Degree in Artificial Intelligence

Giants such as Google, Microsoft, Facebook, Amazon and Oracle are making intense investments in new intelligent technologies, creating a paradigm shift that is not only transforming the present by leaps and bounds, but is also drawing a panorama in which Intelligence Artificial will radically change the way of working, doing business, and the lives of users, over the coming years. This true revolution will demand a large number of specialized professionals, willing to lead the numerous fundamental changes and restructurings for their effective implementation in companies, organizations, and public and private institutions.

Definition of the program

The Official Master's Degree in Artificial Intelligence aims to provide you with a broad and comprehensive set of skills within the various fields of AI, primarily machine learning, computational optimization, and fuzzy reasoning. Thanks to a cutting-edge curriculum, developed by a department with a long history of training in emerging technologies, and a faculty made up of leading professionals and researchers in the field, you will acquire the tools, knowledge, and skills necessary to take advantage of the opportunities offered by the AI revolution. This program is designed to help you become a highly sought-after professional by companies and scientific organizations, and equipped to operate at the forefront of technological change.

Access requirement

Bachelor's degree, bachelor's degree, or university degree in: Computer Science, Telecommunications Engineering, Data Science, or equivalent. Mathematics, Physics, or non-ICT engineering.

What makes this master unique?

1. Official recognizable title
2. Flexible methodology, with live online classes.
3. A strong theoretical-mathematical base that will allow you to understand the fundamentals that support the most advanced techniques in application development.
4. An updated avant-garde study plan that ensures content that is completely in line with the reality of technological development.
5. You will gain mastery of the different disciplines of Artificial Intelligence: Machine Learning, Computational Optimization and Fuzzy Reasoning.
6. You will become familiar with the software tools and libraries used in the industry: Python, TensorFlow, Keras, MLflow SciPy (pandas, numpy, matplotlib, seaborn), Anaconda, Jupyter notebook, Google Colaboratory, AWS.
7. You will practice with real databases to carry out practical cases.
8. You will acquire the ability to follow technological advances in the area and be part of them.
9. You will be able to participate in seminars given by professionals from companies such as Inbenta, CVBLab or Intelygenz.
10. Your training will include the most innovative applications in the world today: chatbot, autonomous driving, voice recognition, computer vision, robotics.
11. You will have the possibility of applying your Master's Thesis to your own professional needs and interests.
12. You will have the opportunity to take extracurricular internships.
13. Final degree projects and online exams without travel. Obtain your official degree 100% online thanks to the security and rigor of the biometric and anti-fraud accreditation system, through facial recognition and monitoring of screen activity and verification of the environment using a second camera.

Professional exit

This master's degree prepares students to enter a very competitive job market in several capacities:

• Machine Learning engineer
• Software Developer for AI solutions
• Engineer specialized in Artificial Vision
• AI algorithm developer
• Natural Language Processing Engineer
• Artificial Intelligence Researcher

Admission profile

The entry profile for the Master's Degree in Artificial Intelligence will be a technological profile from technical degrees interested in the latest advances in the area of computing and automation.

Given that the foundations that support artificial intelligence techniques have a marked mathematical nature, it is recommended that the student have a favorable inclination towards this branch, as well as experience in any desired programming language, as well as skills in using computer tools.

Students are required to have a university degree (undergraduate, diploma, bachelor's degree, engineering, technical engineering) in one of the degrees detailed below:

• Undergraduate in Data Science, Undergraduate in Data Science or equivalent.
• Undergraduate/Engineering/Technical Engineering in Computer Science
• Undergraduate/Engineering/Technical Engineering in Telecommunications.

Additionally, students from the following degrees will be accepted, conditional on passing different training complements.

• Undergraduate/Bachelor's degree/diploma in the area of mathematics or physics (or equivalent).
• Undergraduate / Engineering / Technical Engineering in the area of Engineering not linked to ICT.