Graduate School of Engineering and Basic Sciences
- Direction
- Prof. María Concepción Ausín Olivera
- Language
- English
- Attendance
- On-campus
- Credits
- 60 ECTS
- Campus
- Madrid - Puerta de Toledo
- Applications
- 
								CLOSED ☛ 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
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APPLICATION FOR ADMISSION
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- InicioOur 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- CURRICULUMThis 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 12nd. 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 23rd. 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 - AnnualMaster'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 
- MBA COMPLEMENTIf you are looking for voluntary and personalized complementary training to expand your knowledge and skills, UC3M offers you the opportunity to complete a complementary program in the area of business administration (MBA). This will also be reflected in your Suplemento Europeo al Título (SET) if you successfully complete it. If you are interested in pursuing the MBA Master's program later on, the ECTS credits earned in this complement will be recognized. 
 GENERAL INFORMATION DURATION This complement can be taken during the corresponding academic year, simultaneously with the Master's Degree, or during the second year after completing the MBA Master’s program. The workload for the supplement will be 12 ECTS credits. 
 REQUIREMENTS - Be a registered student in one of the following Master's programs in Engineering: Connected Industry 4.0, Applied Artificial Intelligence, Cybersecurity, Big Data Analytics, Technologies in the Financial Sector: FinTech.
- Demonstrate a C1 level of English proficiency. Students whose native language is English, as well as students who have completed their undergraduate or Master's studies in English, will not be required to take the English exam, provided they submit the corresponding documentation. Language requirements.
 APPLICATION The Postgraduate Office will provide information on the application period and required documentation. Available places will be offered until each subject group is filled. If applications exceed the number of available places, they'll be processed in the order they were received. 
 FURTHER INFORMATION For any clarification, please contact your Postgraduate Office. CONTENT/CURRICULUM You must select a minimum of 12 ECTS credits from the following MBA subjects: 
 SEMESTER 1Subjects ECTS Language Managerial Economics 3   Strategic Management 3   Market Analysis 3   Marketing Management for Strategic Advantage 3   Operations Management 3   Managing People in Organizations 3   SEMESTER 2Subjects ECTS Language Financial Economics 2   Corporate Finance 2   International Finance 2   Supply Chain Management 2   International Management 2   International Economic Environment 2   COMPLEMENT PRICE The total cost will be calculated by multiplying the ECTS price of the Master's program to which the chosen subjects belong by the total number of ECTS, based on the student's status as a national/EU citizen or a non-EU citizen: 
 Complement National/EU price* Non-EU price* Master in Business Administration - MBA €225/ECTS €330/ECTS * Current fees for the 24/25 academic year, pending approval by the Community of Madrid for the 25/26 academic year. 
- QUALITYGENERAL 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
- FACULTYUC3M 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- ADMISSIONApplication 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. 
- ENROLLMENTTUITION 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
 
 EU STUDENTS (€80/ECTS) First academic year - 60 ECTS €4,800 NON EU STUDENTS (€120/ECTS) First academic year - 60 ECTS €7,200 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. _______* 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
- SCHOLARSHIPSUC3M SCHOLARSHIPS FOR ACADEMIC YEAR 2025/2026 CALL AM01-25/26* │ RESOLVEDFor 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 decision: published on 19/3/2025
- second partial decision: published on 5/6/2025
- third partial decision: published on 31/7/2025
 * 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. _______FUNDACIÓN CAROLINA EDUCATION PROGRAM │ CLOSED CALL FOR SCHOLARSHIPS 2025/2026Fundación Carolina has opened its call for scholarships for the 2025-2026 academic year, aimed exclusively at students from Latin American countries that are members of the Ibero-American Community of Nations or Portugal to complete their education in Spanish universities and study centers. - Number of scholarships: 1
- Deadline to apply for the scholarship: March 12, 2025, at 9:00 a.m. (Spanish time)
  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
- CAREER OPORTUNITIESExamples 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 DEGREESDouble 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 CLOSED
- Double Master Degree in Telecommunications Engineering and Big Data Analytics 🎓 24 ECTS recognized CLOSED
 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. 

