Machine Learning (5ECTS)

This subject introduces the instructions of Machine Learning from a practical point of view, in order to apply the concepts to the resolution of real projects. Students will learn about the process followed to carry out a machine learning project and will learn about the problems related to the use of algorithms, data collection, transformation and deployment of the models.

Optimisation and decision-making (5 ECTS credit)

The fundamental concepts of linear algebra are the basis for the techniques and algorithms that allow solving statistical, probability and optimisation problems. Decision-making models are based on solving problems of this subject and to understand in depth how these models work it is necessary to understand how these tools work and the mathematical concepts on which they are based.

Strategic management in digital environments (5 ECTS credit)

Competences: dealing with technological changes and new technologies available, both from the strategic and operational point of view of the organisation. 

• Corporate vision applied to digital environments

• Tools and methodologies applied for the development of Strategy

• Innovation in business models

• Sustainable and resilient organisations

Innovation ecosystem (5 ECTS credit)

To understand the functioning and the main challenges of innovation ecosystems and to equip them with tools for management and participation in this ecosystem subject :

• Introduction to innovation ecosystems

• Strategic Technology Management

• Open Innovation

• Entrepreneurial mindset and methodologies

Connected systems (4 ECTS credit)

To know the characteristics and limitations of the main technologies applied in the digitalisation of companies and their use in different sectors and functional areas.

• Cloud Computing

• Blockchain

• IoT, positioning and 5G communications

Ethical Challenges in Technological Environments (2 ECTS credit)

Technology is transforming our world. In this context, it is essential that engineers are able to achieve a synthesis of scientific and practical knowledge that incorporates ethical reasoning.

• Man, technology and the common good

• Ethics in the digital world

• Responsible and sustainable engineering

Digital Technologies (4 ECTS credit)

Information systems are the digital layer of products, services and processes. This subject explains the elements that compose them and how to analyse and design these elements to support the development, management and use of digital services and products.

• Fundamentals of Information Systems (formats and DB)

• Web applications (HTML, CSS, JavaScript)

• Web Application Interaction (Sessions and Ajax)

• Prototyping an application

• Experience of Username

• Software engineering

• Cybersecurity

Future Emerging Technologies (5 ECTS credit)

Analyse a range of emerging technologies with high potential impact from multiple perspectives: scientific-technological, business and societal. Beyond learning about these technologies, students will also seek to understand their current commercial frontiers and the opportunities they present. 

• Quantum computing

• Artificial Intelligence

• Virtual networks and distributed computing

• Renewable Energies

• Biomedical engineering 

• Nanotechnology

Leadership, collaboration and change (5 ECTS credit)

A digital leader is a person who integrates leadership skills along with the knowledge, belief and application of new technologies and especially the disruptive nature of digital transformation. Within this subject students will be provided with a solid training in the following contents:

• Leadership and decision-making

• Organisational and corporate cultural change management

• Equipment for high performing

Manufacturing 4.0: Robotics and Digital Manufacturing (5 ECTS credit)

Know the evolution, opportunities and trends of advanced digitalisation technologies and integrate them in the design and/or manufacturing of products, services and/or processes. 

• Advanced manufacturing systems

• The digital twin and its applications

• Intelligent robotics

Master's Thesis

Carry out, present and defend an original project of technological innovation carried out individually, before an academic and professional tribunal, demonstrating the integration and application of the competences acquired. 

You can find more information on the website of the Master's Degree Final Project at employment opportunities.