This master’s degree was created with input from experts and leaders in the technology industry and combines academic theory with real-world experience. Its curricular design considers the acquisition of experience through 200 hours of practice, in which you will develop skills in the following areas:
  • Programming.
  • Database management.
  • Application development.


"This master's degree will allow you to specialize in the emerging areas of technology that will define the future of all industries."
Alfonso Kim
  1. You will learn through a teaching method based on a collaborative environment and real projects
  2. You will take videoconferences with our invited experts, who will guide you in the use of advanced engineering tools.
  3. You will work on real projects and products proposed by companies in the sector.
  4. You will have personalized mentoring with experts with extensive knowledge in current technologies and great work experience.
At the end of your career:
  1. You will develop the skills necessary to become a full stack developer.
  2. You will learn the basics of network traffic, communication principles, network protocols and services and routing.
  3. You will learn the basics of machine learning, an emerging field of study that will soon be fundamental in all industries.

Our graduates develop the necessary skills to work in a wide variety of companies and institutions, from banks to startups, as well as companies specialized in technology or government institutions.

Academic program

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Area of expertise

By the final quarter, you will be able to train in more advanced topics in software development and other information technologies. You will be able to choose one of three exciting specialty areas.

Learn all about user experience (UX) and user interface design (UI). Master technologies such as HTML, CSS, JavaScript and development tools that you will apply with React. Acquire advanced skills in back-end and front-end application development, mastering frameworks.

Learn the basics of network traffic, communication principles, protocols, network services and routing, telecommunications concepts, OWASP overview and network security principles. Create your own system for detection, prevention, disaster recovery consulting, as well as how to set up and use a security information event management system to detect and analyze threats.

Learn to build complex Machine Learning models using Tensor Flow, H2O and Keras for real-world applications. Master the fundamentals of neural networks and deep supervised learning using Python's Numpy library. Build deep architectures for natural language processing and artificial vision applications and more.

Other academic programs

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