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Currently, any type of company, large or small, traditional or virtual, demands professionals with specialized knowledge in the areas of data science, software engineering, and business intelligence. In the same way, the emerging Industry 4.0 increasingly demands more specialists in support of the great diversity of new technologies, among which we can highlight the Internet of Things (IoT) and autonomous mobility. However, the knowledge and frontier technologies of recent years have shown that intelligent and cutting-edge solutions to the real problems that companies face on a daily basis in each of these issues are enriched and enhanced by framing them within the area of Intelligence. Artificial (AI). That is, the solutions to current problems will not be in accordance with our times without the support of AI.

In this context, within the postgraduate courses linked to the industry, the Master in Applied Artificial Intelligence is an educational alternative that arises as a response to the need of local, national, and international companies to have postgraduate professionals specialized in the areas of data science, intelligent software, autonomous mobility, and business strategy. All of them framed with a solid AI component that enriches the solutions of their problems, helping in their transition to consolidate as an Industry 4.0 and in support of the construction of a smart city.


Train professionals who are agents of change in organizations, who carry out innovation, technological development, and technology transfer through solutions based on artificial intelligence and emerging technologies.

The program is aimed at:

  • Professionals from any area interested in acquiring solid knowledge of AI as a means to consolidate and transform their company through solutions based on emerging technologies, helping in decision-making and business intelligence.
  • Professionals interested in designing and proposing intelligent and innovative solutions based on studies and analysis through data science, intelligent software, autonomous mobility, or a network of sensors, underpinning the competitiveness and leadership of organizations.
  • Professionals in the engineering area who want to explore solutions based on emerging technologies and supported by artificial intelligence to transform the processes and activities of the organization.

Tecnológico de Monterrey seeks to integrate in all its graduate programs a new generation of students who have completed their undergraduate studies and who are distinguished by being talented, enthusiastic people, committed to the development of their environment and to the well-being of society; people who have the potential to successfully complete their graduate program and become leaders with an entrepreneurial spirit, human sense, and international competitiveness.

Therefore, for admission, the applicant participates in a comprehensive selection process that considers:

  • Result of the Admission Test to Postgraduate Studies (PAEP).
  • The overall grade point average for professional-level studies.

MODALITY

On line


DURATION

5 Trimester


TAUGHT AT

On line


PERIOD

Trimester

GRADUATE PROFILE

At the end of the program, the graduate will be able to:


  • Demonstrate and use a high level of knowledge and business intelligence, through the use of intelligent algorithms, to propose solutions to real and complex problems that arise in companies.
  • Analyze, manage, direct and propose solutions to processes and problems that come from areas such as software engineering, smart manufacturing, autonomous mobility, and in general any process that arises from a company with technologies involved in Industry 4.0.
  • Communicate clearly, effectively, and efficiently the results of your professional work orally, in writing, and through data visualization. This effective and contextualized communication should be applicable when informing both colleagues in your work group, as well as your superiors or clients.
  • Work in the professional community of their area of expertise with leadership in an efficient, collaborative and ethical manner.
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