Máster en Aprendizaje Profundo para el Tratamiento de Señales de Audio y Video / Deep Learning for Audio and Video Signal Processing

The Master in Deep Learning for Audio and Video Signal Processing is motivated by the recent huge interest in Deep Neural Networks. The results achieved by these techniques to solve problems related to automatic analysis of acoustic and visual signals have largely exceeded the results achieved by previous techniques, which has meant an unprecedented qualitative change in recent years. This situation has created an academic and professional demand for human resources capable of designing, developing and applying Deep Learning technologies. As a result of this growing interest, large technology companies have created specialized divisions that apply Deep Learning to the acoustic / visual field, such as Amazon, Apple, Google, Microsoft, Facebook and NVIDIA.

The objective of this Master's degree is to train researchers in the specific field of Deep Learning and, more specifically, in the plethora of variants and architectures resulting from the application of these techniques to acoustic and visual signals. The academic programme has a highly applied orientation, typical of a field closely linked to transfer and entrepreneurship actions.

Additional general information:

• Centre / department: Escuela Politécnica Superior.
• Orientation: Research oriented.
• Minimum of ECTS per enrollment and course: 24 ECTS for part‐time students; 37 ECTS for full‐time students.

Students must carry out their application for admission to a master's degree online. It is strongly recommended to consult the admission process instructions at “Admisión paso a paso”.

Specific requirements for access and admission

Given the international orientation of the proposed master, the admission profile has been defined upon the terms of the required knowledge, rather than specifying the degree titles which grant access to the master. Thus, the admission profile to the Master's Degree in Deep Learning for Audio and Video Signal Processing will correspond with the following candidates:

1. Engineers or candidates holding a bachelor's degree in Engineering Areas related to ICT (Information and Communication Technologies), provided their degree contains at least the following contents:
   1. 24 ECTS of mathematical fundamentals in calculus (12 ECTS), linear algebra (6 ECTS), probability and statistics (6 ECTS).
   2. 12 ECTS of programming in some high‐level language.
   3. 6 ECTS in signal processing.
   4. 6 ECTS in machine learning.
2. Graduates who hold an official degree equivalent to any of the above, either issued by a Spanish university or belonging to another member state of the European Higher Education Area, or so declared in accordance with the previous regulations of university studies in Spain. These graduates are required to demonstrate a level of training equivalent to the requirements defined in the first case.
3. Applicants who hold degrees obtained in educational systems outside the European Education Area. These applicants are required to demonstrate a level of training equivalent to the requirements defined in the first case.

According to the academic profile of students being accepted to the Master, it will be considered whether they should complete an intensive leveling program scheduled at the beginning of the academic year in September. The program includes a leveling module in Fundamentals of Signal Processing of 1 ECTS, aimed at students whose previous training in the area is less than 12 ECTS. This module will be offered as a training supplement because it is not expressly a subject of the academic programme.

Since the official language for all courses is English, knowledge of the English language at the minimum level of the B2 certificate will be required for acceptance into the Master’s programme. In case of not being English native speakers, this level of language must be accredited by a certificate or by an interview with the Master's Academic Committee.

There is the possibility of taking a combined program [37.00 KB] of the Master in Deep Leerning for Audio and Video Signal Processing and the Master in Telecommunications Engineering, leading to obtaining a double Master´s degree.

Documents to be uploaded to the admission application

Mandatory documents:

In order to assess the merits of prospective students (hereinafter referred to as applications) interested in pursuing the master’s degree in Deep Learning for audio and video signal processing, their applications for admission to the program must include the following documents:

• Official transcript of records (1)
• Certificate of level B2 or higher in English knowledge. If the applicants do not have a certificate, the Master's Academic Committee can conduct an interview with the applicants to establish the appropriate level of English. Students whose mother tongue is English are excluded from this interview.
• Curriculum Vitae.
• Average Grade Statement (2) [Mandatory for those students who have not made their access studies at the UAM].
• Motivation letter detailing the applicant's interest in the programme
• Access degree: If you have completed your studies at the time of applying for access to the master's degree, you must attach the degree certificate/diploma, bachelor's degree, or equivalent (or proof of having applied for the degree) in the application.

Letter stating the adequacy of the applicant's previous studies to the specific academic requirements for applying to this master.

(1) Official transcript of records must be translated into Spanish except when it is written in English, French, Italian or Portuguese.

In case the applicant has studied another master's degree or a PhD it is recommended to include the diplomas in the application as Complementary information.

(2) If you have made your access studies in Spain you will have to upload an Average Grade Statement (scale 0 to10). In case you have studied your degree at the UAM this requirement will not be necessary.

Those students who have made their degrees abroad (outside Spain) must attach the Average Grade Declaration (Declaración de nota media) from the Spanish Ministry of Education.

If you want to take the combined program of the Master in Deep Leerning for Audio and Video Signal Processing and the Master in Telecommunications Engineering, you must include the document “Solicitud para el programa combinado Máster Universitario en Ingeniería de Telecomunicación + Máster Universitario en Aprendizaje Profundo para el Tratamiento de Señales de Audio y Video / Deep Learning for Audio and Video Signal Processing (consult “Área de Descargas”).

Admission criteria

The following criteria are defined for the applicants´ selection process:

En cada fila de la siguiente tabla encontrará los datos de ponderación de los criterios de admisión al máster. La primera columna indica el nombre del criterio y la segunda la ponderación del mismo.

  

Engineers or candidates in possession of a bachelor's degree in Engineering Areas related to ICT (Information and Communication Technologies).

  

  

  

Graduates of this master’ degree are expected to be employed in ICT and technology related roles, which have become ubiquitous in many sectors. Although employment statistics are not available for this master’ degree, popular job portals and international organizations indicate that there is a clear shortage of professionals in the areas covered by the master (deep learning, audio and visual processing).