Faculty of Science - University of East Anglia

Master Knowledge Discovery and Datamining - Máster en Minería de Datos

Faculty of Science - University of East Anglia
  • Imparte:
  • Modalidad:
    Presencial
  • Precio:
    Consultar rellenando el formulario
  • Comienzo:
    Septiembre 2017
  • Lugar:
    Norwich
    Reino Unido
  • Duración:
    1 Año
  • Idioma:
    El Curso se imparte en Inglés
  • Titulación:
    MSc Knowledge Discovery and Datamining
  • Otras Convocatorias:

    Presentación

    This programme is offered either full and part time basis

    This course offers an excellent platform to a career in data analysis and is taught by one of the leading groups in Data Mining research in the UK.
    The course has both theoretical and practical elements and students will get hands on experience on commercial data mining and statistical software.
    Students will have the opportunity to participate on commercial data mining projects as part of their assessment, gaining experience on all the stages of the KDD process.
    This programme has full Chartered IT Professional (CITP) accreditation (Further Learning Element) as well as leading to Chartered Engineer (CEng) status from the (BCS - The Chartered Institute for IT)

    Requisitos

    Degree Subject: Computing, Mathematics or a related subject.
    Degree Classification: Good first degree (minimum 2.1 or equivalent).

    Programa

    Compulsory Study (140 credits)
    Students must study the following modules for 140 credits:

     APPLIED STATISTICS
     ARTIFICIAL INTELLIGENCE AND ALGORITHMICS
     DATA MINING
     DISSERTATION
     RESEARCH TECHNIQUES
    Option A Study (40 credits)
    Students will select 40 credits from the following modules:
    Students without database experience MUST take CMPSMB11 and students without programming experience MUST take CMPSMA23.

     APPLICATIONS PROGRAMMING
     DATABASE MANIPULATION
     HUMAN COMPUTER INTERACTION
     INFORMATION RETRIEVAL

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    Publicidad

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