Business Analytics and Big Data

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Master's Degree in Business Analytics and Big Data (M193)

Participating Universities

University of Alcalá

Organising Centre, Department or Institute

Computer Science

Teaching centre(s)

University of Alcalá
Politechnic School
Ctra. Madrid-Barcelona, Km. 33,600
28805 Alcalá de Henares (Madrid)

Year Course Started

2021-22 (RD 1393/2007)



Official Duration

One academic year, full-time

Minimum number of ECTS by type of registration and course

60 ECTS for full-time students and 30 ECTS for part-time students

Type of teaching




Level of qualification

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 qualification

This is not a degree title qualifying with ministerial approval for the exercise of regulated professional activities.



Dr. Marçal Mora Cantallops


Academic Coordinator                                                                                                                                   

Elena García Barriocanal                                                                                                           

Quality Coordinator

Miguel A. Sicilia Urbán

External inthernships Coordinator                                                                                                             

Salvador Sánchez Alonso


Academic Committee

Marçal Mora Cantallops                                                                                                                              

Elena García Barriocanal                                                                                                                   

Miguel A. Sicilia Urbán                                                                                                          

Salvador Sánchez Alonso

Eugenio José Fernández Vicente


Academic issues:

Administrative issues:

Goals and competencies

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.

Number of places for new students

Número total de plazas ofertadas: 30

Reserved places: 5% for students with a certified disability of 33% or more.

Specific admission conditions

Perfil de ingreso

  • Titulados en Ingeniería, principalmente los titulados en Grados de Ingeniería Informática o sus equivalentes en las titulaciones del sistema precedente (Ingenieros Técnicos en Informática de Gestión, Ingenieros Técnicos en Informática de Sistemas e Ingenieros en Informática) y titulaciones afines de la rama de la Informática, como por ejemplo, los Grados en Sistemas de Información, Ingeniería del Software o en Ingeniería de Computadores).
  • Titulados en disciplinas cuantitativas (Estadística, Matemáticas, etc).
  • Titulados en carreras relacionadas con Economía y Administración de Empresas.

Proceso de Admisión

El proceso de admisión, una vez pasada la evaluación inicial de la documentación y validación de criterios establecidos para los estudios de máster oficial en la UAH incluye las siguientes fases por parte de la comisión académica:

  • Estudio de la documentación aportada con el candidato y evaluación del expediente.
  • Entrevista personal con el candidato si procede. En esta entrevista la comisión se reserva la posibilidad de evaluar los conocimientos previos necesarios para la realización del master así como la destreza en el idioma español y/o inglés.


Los criterios para la admisión de los estudiantes al programa se basarán en los siguientes aspectos:

1. Valoración del expediente académico.

2. Experiencia profesional previa y su relación con el estudio.

3. Aptitud valorada en la entrevista personal cuando sea el caso.


El peso de estos criterios será de 65% para el punto 1 y 35% para el punto 2. En el caso que sea necesaria una entrevista personal (criterio 3), ésta actuará modificando las valoraciones de los criterios 1 y 2 según corresponda.


No son necesarios complementos formativos para estudiantes que no se ajusten a alguno de los perfiles de ingreso y no cumplan con los prerrequisitos establecidos anteriormente, ya que en caso contrario no serán admitidos al estudio.

Subjects, academic staff, competences, teaching guides and final project regulations


Collaboration agreements and programmes



Fees: 1st matriculation: nationals and residents: 2.736 € ; non-EU non-residents: 5.079 €  (approximate information).


Classes will start on 23th September 2024.

Course duration: from September to July

The study will be taught online until June and 100% face-to-face in the last four weeks.

The methodological proposal of the Master's degree is conceived as blended learning, which will be supported by the online learning management system (LMS) of the UAH. Most of the training activities will be carried out using this platform, both asynchronously and synchronously. The Master's degree includes a face-to-face phase of between three and four weeks (depending on the calendar), at the end of the programme. In this way, the Master's programme will be followed online for most of the course (approximately from September to June, pending final planning).

The virtual component of the Master's degree is mainly aimed at providing the information and tools that enable students to acquire the competencies and skills necessary to be able to perform, in the most professional and efficient way possible, in each of the areas covered by the Master's degree. This individual learning is enriched by the guidance and contributions of teachers and classmates through collective construction. To this end, the virtual classroom has the necessary tools to facilitate the acquisition of competencies: collective forums, synchronous and asynchronous activities and assessments, synchronous group sessions, creation of interactive content, content organisers, etc.

The face-to-face component, which is expected to take place during the month of July and which attendance is required, is aimed at enriching the virtual exchange with face-to-face interaction between students, professors, etc., in order to generate spaces for exchanging experiences of real contexts of success in the application of Big Data techniques for business data analysis and to strengthen professional ties in this field. There will also be face-to-face validation tests of concepts that endorse the knowledge acquired throughout the course, as well as the reading of the Master's Dissertation before the board determined by the academic committee.



University of Alcalá
Politechnic School
Ctra. Madrid-Barcelona, Km. 33,600
28805 Alcalá de Henares (Madrid)

Material resources

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

Students will attend face-to-face classes with their own laptops.

External Practicums

Documentos de los procesos de calidad

Quality guarantee system

Quality committee

Marçal Mora Cantallops

Elena García Barriocanal   

Miguel A. Sicilia Urbán       

Salvador Sánchez Alonso

Complaints and Suggestions