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Master in Big Data Analytics

Graduate School of Engineering and Basic Sciences

Imagen presentación del máster
Direction
Prof. Carlos Ruíz Mora
Language
English
Attendance
On-campus
Credits
60 ECTS
Campus
Madrid - Puerta de Toledo
Applications

 Opening December 2, 2024 

☛  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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  • 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.

    reasons to study master in Big Data Analytics

     

     

    │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
  • 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
  • ADMISSION
    • ADMISSION

      Application

      The request is made electronically through our application. Before starting 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, students with university degrees issued by a higher education institution belonging to an educational system outside the EHEA, must provide, for enrolment, the diploma, legalized by diplomatic procedures or by means of The Hague Apostille. They must also submit the transcript of records, with 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)

      ✎│Tuition fees
       

      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.

      ✎│Enrolment master’s programmes

      ✎│ECTS credits recognition

  • SCHOOLARSHIPS

    General information on scholarships

    For more information on specific scholarships of interest awarded by UC3M and by other agencies or organisations.

    🎓 │ Scholarships to study a University Master

  • PRACTICAL INFORMATION
  • 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:

    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.