Máster en Big Data. Tecnología y Analítica Avanzada

Admission request

+ Information

Periodo de Solicitudes:
1ª Convocatoria:
17/10/2022 to 12/05/2023
2ª Convocatoria:
12/05/2023 a 25/07/2023

+ Information

Information Sessions

+ Information



1 año / 60 ECTS




+ Information


Lunes a viernes entre
16:00 y 21:00h.

+ Information
La visión más completa en Big Data para liderar proyectos y departamentos

What is the Master's Degree in Big Data Technologies and Advanced Analytics?

The Master's Degree in Big Data Technologies and Advanced Analytics prepares students to respond to the needs of companies that are searching for candidates with profiles with a global vision of Big Data, combining a mastery of technical aspects (Data Engineer) with wide knowledge and rigorous data mining and machine learning techniques (Data Scientist), In turn, they are able to combine the application of these two points to Business successfully (Business Analyst).

One of the most important strengths of the master is that it guarantees practical training by involving a group of collaborating companies in which the students will develop a real Big Data project throughout the course that will constitute their Master Thesis.

Develop a real Big Data project from start to finish

This Master's Degree will be taught by Faculty members who are Professors with extensive experience, bringing together the excellence of the ICAI School of Engineering, with the best specialists in companies. This close collaboration with the Business World, together with internships in leading companies, guarantees a rigorous, quality and eminently practical training that will prepare highly qualified professionals for an exciting future.

Download brochure See related studies
testimonio_Estudiar_en_ICAI testimonio_Estudiar_en_ICAI Estudia_en_ICAI

Students, teachers and companies, what do they think about this Master´s Degree?

Characteristics that differentiate us from other Universities

Group 3


Average time to obtain employment is less than three months

65% Data Scientist. 30% Data Engineer. 5% Data Analyst.

ICO 03



Employment rate for ICAI School of Engineering graduates.

ICO 04


Alumni network

Number of former students enrolled in the Comillas Alumni Association

ICO 06


Members of the Professorial Staff

Percentage of Professors who combine Teaching Courses with the Exercise of their Profession.



Student satisfaction

Average Rating of Satisfaction with the Professorial staff (over a total score of 10).

ICO 011


Success rate

Rate of Success and Performance of Students in Comillas ICAI.

foto del IIT

Technological Research Institute (IIT, Institute for Research in Technology)

More than 1500 Big Data projects carried out with students

More than 25 years of ICAI/IIT innovation
More than 280 Researchers
Collaborations with MIT, Harvard and Cambridge.

foto del director del programa

Students have the possibility to carry out remunerated internships, developing a real Big Data project.

Contact the program director

You learn not only by studying

  • This Program is carried out in collaboration with the leading companies in all sectors.
+ information

Partner companies



+ information

All you need to know


Admissions Process


Criteria and Process for Admission:
With regard to the Comission that will manage the process for admission to this Master´s Degree:

- Admission is the responsibility of the Director of the ICAI School of Engineering, assisted by the Sub-Committee Delegated for Admissions.

- The Sub-Committee Delegated for Admissions is composed of the Head of Studies of the Master´s Degree and the Academic Deputy Director. When necessary, advice will be sought from the Directors of the Departments involved in the Master's Degree.

The application for admission must be submitted within the period indicated for that purpose, in a standardized form, and accompanied by all of the documents that prove compliance with the requirements for access to the Degree.

- In the case of applicants who have not obtained their Bachelor´s Degree from our School, they must submit a CV, a letter of intent or motivation, a detailed academic transcript, and optionally, two letters of recommendation, along with the application form for admission and the aforementioned supporting documents. In this case, the Sub-Committee Delegated for Admissions may request an interview with applicants. If you have not yet obtained the Bachelor's Degree because you are in the process of completing it during the present academic year, you must submit the documentation, in a provisional form, accompanied by the most up-to-date detailed academic transcript available, and if you are selected as a candidate for admission, a reservation will be made for a place on the Degree until the present Degree is finished. The process of admission and evaluation of the candidate will not begin until the aforementioned documentation is presented, even in provisional form..

There is no specific entrance exam for the Degree; in any case, if the profile of the candidate does not meet the recommendations for access to the Degree, admission may require supplemental training courses prior to acceptance.

Criteria for Admission to the Degreeare the following:
- Good or excellent academic transcript, which implicitly includes the suitability of the studies carried out previously and the prestige of the university of origin (80%)

- Letters of Recommendation and, if applicable, optional Personal Interview by the candidate with those responsible for the Master's Degree

- Other relevant information on the candidate's academic trajectory and professional career (10%)

- Knowledge of the English language, accrediting at least a B2 European Level (10%). If applicants do not have this minimum level, they may not be admitted to the program.

If the student interested in joining the program has some type of physical disability, he / she may obtain information and personalized assistance available in the Social Work Unit. This University Service is in charge of developing, among other responsibilities, a Program of Attention for Students with Disabilities, with a Social Worker in charge of the actions to be implemented. Information on this program is accessible on the web page, where you can familiarize yourself with the resources and technical and social aid available to help you to participate fully in University life, depending on your specific needs. The document "Entrance Exam Adaptation Request" is available there, on which you can specify your needs during the admissions process.


Important Dates


Apply for Admission:
1st Call:
17/10/2022 to 12/05/2023
2nd Call:
12/05/2023 to 30/06/2023

Informative Sessions: You may consult the dates for the next Information Sessions here

For more information
Leave your contact information here.

Classes start on: September 4, 2023.


Applicant Profile/Requirements and Documentation


Profile of Candidates for Admission to the Degree:
Recent ISETM graduates, or graduates of Telecommunications Engineering, Computer Engineering, Statistics, Mathematical Sciences or Physical Sciences or Industrial Engineering.
Previous Knowledge of programming in at least one of the programming languages (Matlab, C / C ++, Java, R, Python, ...)
Minimum level of English B2 (European Level).

Requirements and Documentation
An excellent academic transcript is highly valued, as well as the suitability of the past studies carried out and the prestige of the university of origin (80%)
Two letters of recommendation are advisable. Depending on the case, a personal interview with those responsible for the Master's Degree may be carried out. Other relevant information concerning the academic career and professional trajectory of the candidate (10%).
Knowledge of the English language, accrediting at least level B2 European Level (10%). Not having this minimum level may lead to non-admission to the program.
In the case of applicants who have not obtained the Degree from our School, the student must present:
- Application form for admission, correctly filled out and submitted
- Curriculum vitae
- Photocopy of the National Identity Document (DNI) or Passport
- Degree (legally validated in the case of degrees from foreign universities)
- Academic transcript
- Certificate of accreditation of the level of English language (if available)
- Letter of motivation
- In order for the process of admission to begin, IT IS ESSENTIAL to present ALL of the documentation, at least in provisional form. In the event that candidates are in the process of obtaining their degree, they must submit the documentation, in a provisional form, accompanied by the most up-to-date detailed academic transcript available, and if they are selected as a candidate for admission, a reservation will be offered for a place on the Degree, and will be held until the present Degree is finished. At that time, candidates selected may officially enroll for the Degree by submitting proof of having finished the previous Degree.

Informative note on the documentation to be submitted


Information on Fees, Payments, Grants and Scholarships


Total cost for the Full Master´s Degree Program:
€ 13.801
Registration Fee: € 1.869,84
8 Monthly Payments: € 1.491,42
If you are an alumni, you are entitled to 10% discount.

Paid internships

Study grants


Contact Information


Future Students Office

C/ Alberto Aguilera, 21 - 28015 Madrid
Tel.: +34 91 540 61 32

Fax: +34 91 559 65 69

Please, check our office hours here

Director: Carlos Morrás Ruiz
David Contreras Bárcena
Antonio Muñoz San Roque

Contacting the Program Director


Apply for Admission


Are you convinced about studying this master’s degree? You need not wait any longer!

Application for admission

Who are you going to study with and what are you going to learn?

Curriculum Flecha DownCreated with Sketch.

1st Year
Fall Term
Data Acquisition and Transformation 3.0 ECTS ICO/DESCARGA
Big Data Architecture 3.0 ECTS ICO/DESCARGA
Big Data and Data Governance 3.0 ECTS ICO/DESCARGA
Mathematical Foundations of Data Analysis 3.0 ECTS ICO/DESCARGA
Machine Learning I 6.0 ECTS ICO/DESCARGA
Big Data Processing Technologies 7.5 ECTS ICO/DESCARGA
Spring Term
Unstructured Data Analysis 6.0 ECTS ICO/DESCARGA
Hybrid Architectures and System Administration 1.5 ECTS ICO/DESCARGA
Machine Learning II 6.0 ECTS ICO/DESCARGA
Stream Processing 3.0 ECTS ICO/DESCARGA
NoSQL Storage Systems 6.0 ECTS ICO/DESCARGA
Data Visualization 3.0 ECTS ICO/DESCARGA
Annual Subjects
Case Studies 3.0 ECTS ICO/DESCARGA
Master Thesis 6.0 ECTS ICO/DESCARGA

TECHNOLOGY (Data Engineer)

Acquire expertise in the latest tools to safely design and implement all processes to manage data. From the process of collecting data to its visualization.

ANALYSIS (Data Scientist)

Develop advanced analytical models, capable of transforming data into information of great value: AI, Data Mining, Machine Learning and Deep Learning.

BUSINESS (Data Analyst)

Make strategic decisions that have a direct impact on business.


Comillas ICAI

The leading School of Engineering.

The long-standing tradition of the ICAI School of Engineering (Comillas ICAI) in the education and training of Engineers began in Madrid in 1908. The School is a leading academic institution, a reference both nationally and internationally in Industrial and Telecommunications Engineering, as well as other fields.
Personal and Professional Development. Education, Training and Values.



Get to know everything that the university has to offer.


With this virtual visit of the university, you will feel that you are already there.


All of our students have an e-learning tool. When you are a student here, you will discover what it is!