Master's Degree in Applications of Artificial Intelligence to Industry and Communications

Ingeniería eléctrica, ingeniería electrónica e ingeniería de la telecomunicación.

Department of Signal Theory and Communications.

One academic year, full-time

Hybrid course: face-to-face classes along with online learning

English

Level 3 leading to the title of Master's Degree. Level 3 (Master's) of the Spanish Qualifications Framework for Higher Education (MECES) corresponds to level 7 of the European Qualifications Framework (EQF), in accordance with the provisions of the Royal Decree 22/2015, of 23rd January (BOE 07/02/2015).

Professional

María Pilar Martín Martín

p.martin@uah.es

Administrative issues:
master.universitario@uah.es

The goals of this Master's degree are in line with the stipulates of the Spanish Framework for Higher Education Qualifications (MECES) and ensure the achievement of the basic competencies required to obtain a master's degree, following article 3.3, Appendix I of R.D. 1393/2007.

Fulfilment of the goals means students have achieved competencies that must be consistent with the fundamental rights of equality between men and women, with the principles of equal opportunities and universal accessibility for the disabled, and with the values proper to a democratic and peace-loving culture.

• Access to Pre-registration

• Entrance requirements
• Required documentation

ADMISSION PROFILE:

The ideal candidate for this program will be a graduate in fields such as Engineering (Industrial, Electronics, Telecommunications, Mechanical), Computer Science, Mathematics, Physics, Statistics, or related disciplines. A strong foundation in mathematics (particularly linear algebra, calculus, and statistics) and programming is required, as well as basic knowledge of algorithms and data structures. Additionally, candidates with experience in large-scale data analysis and an interest in industrial process automation and optimization are preferred. Although not mandatory, prior experience in the industrial sector or with AI-related projects will be considered positively.

The secondary student profile would include those with a partially relevant academic background, such as degrees where some of the core subjects of the main profile are taught.

In terms of soft skills, candidates should demonstrate initiative, decision-making ability, autonomy, creativity, self-improvement, innovation, and motivation to learn, in order to maximize the benefit from the program.

Additionally, since the program is taught in English, a high level of written and spoken English proficiency is required. This can be demonstrated with an official English language qualification at a minimum B2 level (according to the Common European Framework of Reference for Languages), including assessments in all four areas: listening, reading, speaking, and writing. Examples of accepted qualifications include TOEFL, IELTS, APTIS, or Cambridge ESOL exams. These language requirements will not apply to students whose native language is English or those who have completed their entire undergraduate studies in English, provided appropriate documentation is submitted.

Fees: 1st matriculation: nationals and residents: xxx € first year, xxx € second year; non-EU non-residents: xxx € first year, xxx € second year (approximate information).

Installations, services and plans
(Computer rooms, bibliographic resources, libraries, study rooms...):