Graduate School of Engineering and Basic Sciences
- Direction
- Prof. Carlos Ruíz Mora
- Language
- English
- Attendance
- On-campus
- Credits
- 60 ECTS
- Campus
- Madrid - Puerta de Toledo
- Applications
-
☛ Places available: 40
Double Degrees: see tab
- Departments
- Statistics Department, Computer Science and Engineering Department, Telematic Engineering Department, Signal and Communications Theory Department, Mathematics Department, UC3M-Santander Big Data Institute (IBiDat)
CONTACT
Click here and make your query
APPLICATION FOR ADMISSION
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- Inicio
Our Master program is oriented towards the training of people interested in working in data analytics, and in particular of analytics involving the evaluation of very large volumes of data in companies and organizations. Master’s students, either recently graduated or professionals, will receive both additional formation in the basic foundations of the analytics methods used for Big Data, and familiarity with their potential applications in different areas of interest.
Particular emphasis will be placed on the use of applications based on analytic languages such as R and Python. The courses will also introduce data storage and processing paradigms such as MapReduce or noSQL, and their implementations (Hadoop, Storm, Spark, etc...), as well as cloud storing and computing methodologies. This knowledge will prepare them to handle large data sets and to conduct complex statistical and computational analysis of these data, to obtain results in pattern identification, prediction, forecasting, simulation or optimization, relevant for the improvement of the efficiency in the activities of companies and organizations.
As an illustration of this potential demand, the French government expects that the needs for professionals with these qualifications during the coming five years on the whole of the EU will be in excess of 300,000 persons. In Spain, the use of these techniques is expected to increase by at least 300% in the next three years.
│MASTER IN NUMBERS
- ☛ 40 students per class
- ☛ International environment (more than 10 nationalities in class)
- ☛ 100% of the students graduated in the Master received a job offer before completing the Master or few weeks later
- ☛ It was the 1st official Master on the topic that received a positive evaluation from ANECA as designed in accordance with the European Higher Education Area (EHEA)
- CURRICULUM
- CURRICULUM
This Master program has been designed as a one academic year degree and it is offered in English. The topics covered by the degree correspond to 60 ETCS credits, approximately equivalent to 400 hours of classes and 1100 hours of work from the students.
It has been structured around 18 3-credit courses, offered during four 7-week periods. Five subjects are covered during each period, corresponding to 15 hours of class per week.
A Master’s Thesis is required. It should provide the students with experience in the treatment of real data in a particular area of interest. It would be completed during the second half of the year.
Year 1 - Semester 1
2nd. Term Subjects ECTS TYPE Language Internet contents distribution 3 C Predictive modeling 3 C Statistical learning 3 C Optimization for large-scale data 3 C Big Data Intelligence: methods and technologies 3 C Year 1 - Semester 2
3rd. Term Subjects ECTS TYPE Language Bayesian learning 3 C Time series analysis and forecasting 3 C Machine learning 3 C Business Applications of Big data Analytics 3 C Web data analytics and usage 3 C 4th. Term Subjects ECTS TYPE Language Machine learning 3 C Choose 2 electives Information security and technological risk management 3 E Data Analytics for the Smart Society 3 E Network analysis and data visualization 3 E Course 1 - Annual
Master's Thesis Subjects ECTS TYPE Master's Thesis 6 TFM C) Compulsory: 48 ECTS
E) Elective Course: 6 ECTS
TFM) Master's Thesis: 6
For those students who consider making the Master part time in two academic years, it is recommended to follow one of the two options that can be found at the following link:course Programs
- QUALITY
GENERAL COURSE INFORMATION
☛ First year offered: 2015
PROGRAMME’S QUALITY ASSURANCE
The Academic Committee of the Master’s programme complies with the SGIC-UC3M and it is responsible for the follow-up, analysis, review, assessment and quality of the program, it contributes with proposals to improve the program and produces the “Memoria Académica de Titulación” (Programme Report).
FACULTY AND COURSE PLAN
Graduate Profile and Competences
- CURRICULUM
- FACULTY
UC3M FACULTY
- ALER MUR, RICARDO
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- ÁLVAREZ RODRÍGUEZ, JOSÉ MARÍA
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- ANTONIONI, ALBERTO
Department of Mathematics
Investigador
PhD
Brief CV
- ARTÉS RODRÍGUEZ, ANTONIO
Department of Signal Theory and Communications
Full Professor
PhD
Brief CV
- AUSÍN OLIVERA, MARÍA CONCEPCIÓN
Department of Statistics
Associate Professor
PhD
Brief CV
- BAGNULO BRAUN, MARCELO GABRIEL
Department of Telematic Engineering
Associate Professor
PhD
Brief CV
- CALLE GÓMEZ, FRANCISCO JAVIER
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- CARRETERO PÉREZ, JESÚS
Department of Computer Science and Engineering
Full Professor
PhD
Brief CV
- DÍAZ DE MARÍA, FERNANDO
Department of Signal Theory and Communications
Full Professor
PhD
Brief CV
- FERNÁNDEZ MUÑOZ, JAVIER
Department of Computer Science and Engineering
Internal Associate Professor
PhD
Brief CV
- GALEANO SAN MIGUEL, PEDRO
Department of Statistics
Associate Professor
PhD
Brief CV
- GALLARDO ANTOLÍN, ASCENSIÓN
Department of Signal Theory and Communications
Associate Professor
PhD
Brief CV
- GARCÍA BLAS, FRANCISCO JAVIER
Department of Computer Science and Engineering
Visiting Professor
PhD
Brief CV
- GARCÍA PORTUGUÉS, EDUARDO
Department of Statistics
Associate Professor
PhD
Brief CV
- GÓMEZ BERBIS, JUAN MIGUEL
Department of Computer Science and Engineering
Associate Professor
PhD
- GÓMEZ VERDEJO, VANESSA
Department of Signal Theory and Communications
Associate Professor
PhD
Brief CV
- GONZÁLEZ MANZANO, LORENA
Department of Computer Science and Engineering
Associate Professor
PhD
Brief CV
- GUERRERO LÓPEZ, CARMEN
Telematic Engineering Department
Associate Professor
PhD
Brief CV
- LIPARI, FRANCESCA
Department of Mathematics
Researcher
PhD
Brief CV
- MARTÍNEZ OLMOS, PABLO
Department of Signal Theory and Communications
Associate Professor
PhD
Brief CV
- MOLERA MOLERA, JUAN MANUEL
Department of Mathematics
Associate Professor
PhD
Brief CV
- MORATO LARA, JORGE LUIS
Department of Computer Science and Engineering
Intern Associate Professor
PhD
Brief CV
- MORO EGIDO, ESTEBAN
Department of Mathematics
Associate Professor
PhD
Brief CV
- NOGALES MARTÍN, FRANCISCO JAVIER
Department of Statistics
Full Professor
PhD
Brief CV
- PARRADO HERNÁNDEZ, EMILIO
Department of Signal and Communications Theory
Associate Professor
PhD
Brief CV
- PELAEZ MORENO, CARMEN
Department of Signal Theory and Communications
Associate Professor
PhD
Brief CV
- RUIZ MORA, CARLOS
Department of Statistics
Associate Professor
PhD
Brief CV
- SÁNCHEZ FERNÁNDEZ, LUIS
Department of Telematic Engineering
Full Professor
PhD
Brief CV
- VEIGA, HELENA
Department of Statistics
Associate Professor
PhD
Brief CV
- WIPER, MICHAEL PETER
Department of Statistics
Associate Professor
PhD
Brief CV
- ALER MUR, RICARDO
- ADMISSION
- ADMISSION
Application
The request must be submitted electronically through our application system. Before beginning the admission process, please read the following information:
Requirements
The candidates should have a bachelor’s degree in any of the following areas:
- Computer Science
- Telecommunications Engineering
- Statistics
- Mathematics
- Physics
- Industrial Engineering
Candidates with other backgrounds (like Business/Administration, Economics, Medicine or Health Sciences) could also be considered, but they should justify required levels of knowledge in the fields of Mathematics (Algebra and Calculus), Statistics (Probability and Inference) and Computer Science (basic programming skills). In any case, and depending on each particular case, the Master’s Academic Committee may recommend to students already admitted to carry out, prior to the beginning of the Master’s classes, one or more on line courses (MOOCs) about some of the previous contents.
Professional experience is not required, but it will be considered as an asset within the admissions process.
Admission criteria
The Master´s direction will evaluate the application based on the criteria described below, and informing to the student about the admission to the Master, motivated denial of admission or the inclusion in a list of provisional expected:
- Academic record (40%)
- Professional experience (20%)
- Quantitative and computer science background of the student (10%)
- Letters of recommendation submitted by the applicant (10%)
- Others (10%)
- English level (previous degree in english)
Student profile
The student who wants to pursue this Master must have good mathematical and statistical base, and a basic knowledge of programming. Likewise, should have sufficient ability to work with Web tools and an interest in real problems of processing data in different application areas .
You must also have sufficient capacity for problem identification data processing in real environments , formalizing them and interpretation of the results obtained from the application of computational tools for this data processing.
The interest in various aspects related to the management of companies and organizations will also be useful for the use of the teachings of the Master . Finally , creativity , imagination , innovation and motivation for continuous learning are characteristics with a significant contribution to the success in the use of lessons to be taught in this Master .
Language requirements
Check the general language requirements required to study a Master’s at UC3M, depending on whether it is in Spanish, English or bilingual.
students with foreign university degrees
Once admitted to the Master’s program, students holding a university degree from a higher education institution outside the EHEA must provide the diploma, legalized through diplomatic procedures or by The Hague Apostille, for enrollment. They must also submit their transcript of records, including the grade point average, duly legalized.
More information about Legalization of Foreign Documents.
If needed, documents must be accompanied by an official sworn translation into Spanish.
- ENROLLMENT
TUITION FEES*
Reservation fee: €450
- it will be paid once the student receives notification of admission to the master’s, and deducted from the first tuition payment
- the reservation fee will only be refunded if the master program is cancelled
60 ECTS in the first academic year:
- EU students: €4,800 (€80/ECTS credit)
- Non EU students: €7,200 (€120/ECTS credit)
NOTE: the indicated public prices do not include in any case, neither the ECTS corresponding to the Formative Complements that the student must take (only master's degrees with previous Formative Complements), nor the cost of issuing the master’s degree certificate.
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* Current fees for the 24/25 academic year, pending approval by the Community of Madrid for the 25/26 academic year.
Additional information
- You may enrol on the master’s degree after completing the admission process and receiving formal confirmation of your acceptance.
- When performing the enrolment you can choose between Full-time enrolment or Part-time enrolment.
- The email address provided upon enrolment will be used for formal communications; students are therefore kindly requested to check their mail regularly.
- Pursuant to the regulations of the Universidad Carlos III de Madrid, a student failing to pay any part of the fees will not be admitted and the enrolment process will be terminated. In cases of cancellation of enrolment due to non-payment, the University may demand the payment of the pending amounts for enrolment in previous academic courses as a prior condition of enrolment.
No diploma or certificate will be issued if a student has any outstanding payments.
- ADMISSION
- SCHOOLARSHIPS
UC3M SCHOLARSHIPS FOR ACADEMIC YEAR 2025/2026
CALL AM01-25/26* │ OPEN
For the academic year 2025-2026 a call has been published for a maximum of 4 scholarships for payment of the net enrolment fees for students accepted into the Master’s, with the following provision:
- 4 scholarships of €1,500
To apply, you must have completed the application for admission to the Master’s.
Application deadline: May 31, 2025
Partial resolutions:
- first partial resolution: from February 21, 2025
- second partial resolution: from April 27, 2025
- third and final resolution: from June 20, 2025
* The number of grants and amounts specified in the call, may vary depending on the conditions of the candidates who apply to them, can be even deserted as assessed by the Selection Committee for each program.
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General information on scholarships
For more information on specific scholarships of interest, awarded by the Universidad Carlos III de Madrid as well as other agencies or organizations, please refer here:
- PRACTICAL INFORMATION
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Academic Calendar
MASTER’S COURSE SCHEDULE
VIRTUAL SECRETARIAT
Material Resources of the programme
- MORE INFORMATION
- Inicio
- CAREER OPORTUNITIES
Examples of some of the potential career opportunities associated to the successful completion of this Master program are:
- Expert on information management within a large company, with responsibilities on the treatment of data for different areas such as clients and marketing, financial information or operational data, with the ability to propose actions based on the analysis of these (large scale) data.
- Information manager in a company, responsible for the statistical analysis of the information present in large databases, and the development of models to support decision-making processes in the company.
- Web data analyst. For companies with a significant Web presence, taking responsibilities in the evaluation of information collected from the Web, to detect patterns and to forecast outcomes that improve the presence of the company in its markets.
- Marketing data analyst, working in the identification of trends in sales data, or the changes in spatial or temporal consumer patterns, to help define the marketing strategies of the firm.
- Operations data analyst, detecting improvement opportunities in the processes within the company, through the reduction of costs and execution times, and the increase in the quality of their products and services.
- External consultant, with the ability to offer solutions to companies for the treatment of their information, and the implementation of improvements based on the results of this treatment.
- Systems developer, to implement the data analysis methods presented in the courses with the goal of providing simple results to support decision-making processes in the company.
- DOUBLE MASTER'S DEGREES
Double Master's Degrees offered by UC3M
The UC3M offers you the possibility of taking the Master in Big Data Analytics along with a master's degree that enables you to exercise regulated professional activities:
- Double Master Degree in Informatics Engineering and Big Data Analytics 🎓 30 ECTS recognized
- Double Master Degree in Telecommunications Engineering and Big Data Analytics 🎓 24 ECTS recognized
Depending on the Double Master’s Degree studied, you will obtain the corresponding recognized ECTS credits, so you can receive in two academic years, two Official Master's Degrees. You can access more detailed information about each Double Master's Degree via the links above.