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Master in Big Data Analytics

Graduate School of Engineering and Basic Sciences

Escuela de Ingeniería y Ciencias Básicas
Direction
Prof. Pedro Galeano San Miguel
Language
English
Attendance
On-campus
Credits
60 ECTS
Campus
Madrid - Puerta de Toledo
Applications

Open

☛  Places available: 40

Departments
Statistics, Department of Computer Science and Engineering, Telematic Engineering, Signal and Communications Theory, Mathematics, Research Institute UC3M-Santander of Financial Big Data (IFiBiD)

MORE INFORMATION HERE

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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.

    BigData: sucesiones de bits construyendo un circuito interconectado

    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)
  • PROGRAM
  • FACULTY

    UC3M FACULTY

    • ALER MUR, RICARDO
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • ÁLVAREZ RODRÍGUEZ, JOSÉ MARÍA
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • ARTÉS RODRÍGUEZ, ANTONIO
      Department of Signal Theory and Communications
      Full Professor
      PhD
    • AUSÍN OLIVERA, MARÍA CONCEPCIÓN
      Department of Statistics
      Associate Professor
      PhD
    • BAGNULO BRAUN, MARCELO GABRIEL
      Department of Telematic Engineering
      Associate Professor
      PhD
    • CALLE GÓMEZ, FRANCISCO JAVIER
      Department of Computer Science and Engineering
      Associate Professor
      PhD
    • CARRETERO PÉREZ, JESÚS
      Department of Computer Science and Engineering
      Full Professor
      PhD
    • DÍAZ DE MARÍA, FERNANDO
      Department of Signal Theory and Communications
      Full Professor
      PhD
    • FERNÁNDEZ MUÑOZ, JAVIER
      Department of Computer Science and Engineering
      Internal Associate Professor
      PhD
    • GALEANO SAN MIGUEL, PEDRO
      Department of Statistics
      Associate Professor
      PhD
    • GALLARDO ANTOLÍN, ASCENSIÓN​
      Department of Signal Theory and Communications
      Associate Professor
      PhD
    • GARCÍA BLAS, FRANCISCO JAVIER
      Department of Computer Science and Engineering
      Visiting Professor
      PhD
    • GARCÍA PORTUGUÉS, EDUARDO​
      Department of Statistics
      Visiting Professor
      PhD
    • 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
    • GONZÁLEZ MANZANO, LORENA
      Department of Computer Science and Engineering
      Visiting Professor
      PhD
    • MARTÍNEZ OLMOS, PABLO​
      Department of Signal Theory and Communications
      Associate Professor
      PhD
    • MORATO LARA, JORGE LUIS
      Department of Computer Science and Engineering
      Intern Associate Professor
      PhD
    • MORO EGIDO, ESTEBAN
      Department of Mathematics
      Associate Professor
      PhD
    • PELAEZ MORENO, CARMEN​
      Department of Signal Theory and Communications
      Associate Professor
      PhD
    • RASCÓN DÍAZ, CARLOS
      Department of Mathematics
      Associate Professor
      PhD
    • RUIZ MORA, CARLOS
      Department of Statistics
      Visiting Professor
      PhD
    • SÁNCHEZ FERNÁNDEZ, LUIS
      Department of Telematic Engineering
      Full Professor
      PhD
    • VALENCIA LÓPEZ, CARLOS
      Department of Telematic Engineering
      Postdoctoral researcher
      PhD
    • VEIGA, HELENA
      Department of Statistics
      Associate Professor
      PhD
    • WIPER, MICHAEL PETER
      Department of Statistics
      Associate Professor
      PhD
  • ADMISSION
    • ADMISSION

      Application

      The request is made electronically through our application. Before starting the admission process it is important to consult the supporting information that we offer below:

      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 language requirements of the generic language required to study for a Master at UC3M, depending on whether it is in Spanish, English or bilingual.

      students with foreign university degrees

      Once admitted to the Master, students with university degrees issued by a higher education institution belonging to an educational system outside the EEES, must provide, for enrollment, the diploma, legalized by diplomatic procedures or “The Hague Convention Apostille”. They must also submit the transcript of records, with the grade point average, duly legalized.

      More information about Legalization of Documents.

      If needed, documents must be accompanied by an official sworn translation into Spanish.

    • ENROLLMENT

      FEES *

      2019-2020 Academic year

       

      • Reservation fee: €450 (It will be paid once the student receives notification of admission to the master, and deducted from the first tuition payment)

      60 ECTS in the first academic year:

      • EU students: €4,800 (€80/ECTS credit)
      • Non EU students: €7,200 (€120/ECTS credit)

      * Pending approval by the Community of Madrid for 2019/2020

       

      ✎│Programs fees


      NOTE: The enrollment fees do not include the cost of issuing the master's degree certificate.

      Additional information

      • You may enroll on the master’s degree after completing the admission process and receiving formal confirmation of your acceptance.
      • When performing the enrollment you can choose between  Full-time enrollment or Part-time enrollment.
      • The email address provided upon enrollment 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 erollment proecess will be terminated. In cases of cancellation of enrollment due to non-payment, the University may demand the payment of the pending amounts for enrollment in previous academic courses as a prior condition of enrollment.
        No diploma or certificate will be issued if a student has any outstanding payments.

      ✎ Enrollment master's programs

      ✎ ECTS credits recognition

  • SCHOOLARSHIPS

    UC3M Scholarships for the Year 2019/2020 *

    CALL AM01-19/20

    For the academic year 2019-20 has been published a call for a maximum of 8 grants for payment of the net enrollment rates for students accepted into the Master, with the following provision:

    • 8 grants of € 1,500

    To apply for the aid it is necessary to have completed the application for admission to the Master.

     

    Application deadline: 31st May 2019.

    Resolutions: February, April and June 2019.


    The number of grants and amounts specified in the Annex to the notice, 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.


    Financial aid/scholarships

    » Electronic Bulletin of the UC3M (BOEL)

    General Information about grants and scholarships

    You can find more information about scholarships of UC3M and other agencies or entities.

    Financial aid/scholarships for graduate programs

  • 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.