Methodology
The course is organized in related and confluent blocks in which the necessary contents are developed to achieve the objectives set. All this with the guiding thread of different projects elaborated throughout the entire course in order to explore and strengthen what has been studied in the blocks.
Throughout the course, sessions are also held in visits, workshops, round tables or conferences.
Objectives
To provide a framework for analysis and development that uses design to exploit AI in business areas in a simple and effective manner.
To manage from the overall process of creating and developing products in the technological field related to AI from the perspective of design.
To conduct research into the conceptualisation of new products and services adapted to customers through the advanced analysis of big data and the results of deep learning algorithms.
To integrate the user experience into the process of developing new products and services related to the fields of applying AI.
To implement applications that can take advantage of sensorization and data management processes in public and private smart environments.
To design innovative solutions in the field of IoT based on machine-to-machine connectivity within the framework of 5G.
To apply virtual or augmented reality concepts to the design and development of new experiences applicable to products and services.
To integrate social, technical and sustainable variables into work methodologies to develop systemic design solutions.
Student profile
Graduates in disciplines related to design, preferably product design, industrial design, graphic design or engineering, who want to acquire the necessary tools to join design and development teams for new products and services that integrate solutions related to AI.
Professionals from the technical and technological sector.
Professionals related to data analysis and processing.
Job opportunities
The Master course prepares students to hold a position in companies linked to the technology sector or integrate solutions related to the application of AI tools into the development of their products and services.
*Credits
The educational planning for all IED Master courses is aligned with the criteria established by the European Higher Education Area (EHEA). The IED Master program adopts a credit structure that follows the European Credit Transfer System (ECTS). IED Master only awards its own private degrees.