Master in Machine Learning and Artificial Intelligence

This programme is designed to complement the content of the thematic blocks with the necessary training to achieve their internalisation. The training is conceived from a threefold perspective: technical assistance, personal support and individual and group challenges that are necessary to achieve the objectives set.

Training complements
Prior to the start of the programme, students will have access to two classrooms where they will find training resources that will enable them to acquire the knowledge and develop the skills necessary to follow the course correctly. These courses will be monitored by a teacher until the actual start of the programme. These complements are:

- Introduction to programming: Python
- IT Infrastructures
- Mathematics and Statistics

Pre-Masters Bootcamps
The student will have the opportunity to take 3 Pre-Master Bootcamps that will be opened progressively and can be taken at any time. Once the course has been completed and passed, a certificate of completion will be awarded.

- Bootcamp 1. Personal Branding
- Bootcamp 2. Data Storytelling
- Bootcamp 3. Creative thinking and innovation
- Bootcamp 4. Generative AI: Prompt Engineering

In addition, students will also have the opportunity to take these pre-master courses; however, these are available in English only:
- Building Your Professional Brand for Employability and Career Success
- Finance Fundamentals
- Organizational Well-Being

Introductory workshop | Campus Training
Before the start of the academic year, students will have the opportunity to attend an introductory workshop on the Campus where they will be provided with the tools and knowledge necessary for the correct use of the platform during the academic year.

Professional Development Programme (PDP)
Two weeks before the start of the academic year, students will be able to participate in a professional development programme where they will work hand in hand with a teacher to develop different skills such as time management, productivity and stress management and emotional intelligence. Upon completion of the workshop, and provided that the relevant activities have been carried out, a certificate of completion can be obtained.

During 6 months students will participate in the elaboration of a proposal for the development and implementation of different technologies in the financial field. A professor will supervise their work. The work must be presented before an examining board.

The Master's in Machine Learning and Artificial Intelligence is complemented by lectures and seminars given in each of the blocks. These additional activities are carried out by renowned professionals in business management who, through videoconferences, present their experiences and case studies.

Bootcamp: Leveling course : Foundations for artificial intelligence
The school offers students a leveling course that will allow them to acquire the necessary knowledge and skills to be able to adequately follow the programme. This workshop is self-directed and voluntary. However, it is highly recommended for those students who come from fields other than technical engineering. Through the development of this course, students will be able to identify those areas that need to be strengthened.

Practical Lab | AI Design
This bootcamp is developed transversally throughout the programme. Thus, students will have different sessions after the different modules, which will guide them through the process of designing an artificial intelligence application. This bootcamp is 100% practical.
Professor: Sheyla Rivera, Software Developer at NinjaOne.

Bootcamp: Ethics and artificial intelligence
This bootcamp aims to focus on the concept of ethics applied throughout the entire process of conception, design, development and deployment of AI applications in business, laying the foundations so that the different actions carried out in this field not only have a positive impact on organisations but also on the different individuals who are part of the ecosystem of any organisation.
Bootcamp: Ramón Miralles López, Lawyer specialising in cyberlaw at Ecix Group.

Company visits
During the development of the programme, students will have the opportunity to attend synchronous videoconferences with professional experts in the area of the programme. They will share their experience and provide best practices in the sector.

Case studies: Case method
The practical component of the programme is indispensable and complements the theoretical training. To this end, during the course there will be debates on current topics of interest in each of the subjects, simulations for decision-making applied to real situations or case studies where the problems posed and the solutions proposed will be analysed from an academic point of view, as well as the criteria taken into account to carry them out.

Webinars

Most of the training is done asynchronously, that is, the exchange of knowledge is done through a platform that allows sharing written texts without the need for people to be connected at the same time. Additionally, in each of the modules, synchronous sessions or 'webinars' are organised, where all participants are connected at the same time through an application, which allows the exchange of knowledge in 'real time'.

Students taking the Master in Machine Learning and Artificial Intelligence will have the opportunity to prepare for the following certifications:

- Scrum Master & Product Owner Certification
- Scrum Master@Scale Certification
- Product Owner@Scale Certification
- Value Stream Management Certification

*The cost of the certifications and preparatory courses is not included in the price of the programme.