Bournemouth University

Master Applied Data Analytics (Full-time, Part-time) - Máster en Análisis de Datos

Bournemouth University
  • Imparte:
  • Modalidad:
    Presencial en Dorset
  • Precio:
    Unlimited number of Scholarships available for September 2016/January 2017
    Please fill out the enquiry form for more information

    EU £5,750 Non EU £13,000
  • Comienzo:
    Septiembre 2017
  • Lugar:
    Fern Barrow, Poole,
    Dorset (Bournemouth) BH12 5BB
    Reino Unido
  • Duración:
    1 Año
  • Idioma:
    El Curso se imparte en Inglés
  • Titulación:
    Applied Data Analytics MSc (Full-time, Part-time)

Presentación

The amount of data generated and acquired by businesses and organisations every year is growing at an unprecedented rate.

Automatic data acquisition and storage e.g. through website tracking, loyalty programs, industrial process monitoring or medical records have never been so cheap and easy. The new challenge that businesses and organisations are now facing is how to utilise this big data to its full potential and how to discover and extract knowledge in order to optimise their activities and use of resources, as well as gain a competitive edge.

Requisitos

An honours degree with a minimum of a 2:2 or equivalent

Objetivos

The aim of this course is to train data and business analytics professionals who can help their employers climb the pyramid of analytical literacy. It will also equip recent graduates with the skills to gain competitive advantage based on analytical insight into business, scientific and other types of data.

Programa

Year 1 / Level M
Data Mining & Analytic Technologies
Advanced Data Management
Research Methods & Professional Issues
SAS Programming
Individual Masters Project
Optional units: choose 2 of the following:
Business Intelligence
Analytics for Data Streams
Web Mining and Analytics
Big Data and Cloud Computing
You may also choose to work in industry for up to one year.

Salidas profesionales

This programme is cross disiplinary with a broad range of application areas. Graduates will be able to work as data analysts, consultants, business intelligence experts, data managers or progress to research in intelligent data analysis related R&D programmes.

The poposed units will be research informed and delivered by the research active academics taking part in high profile projects funded, among others, by European Union and UK Research Councils as well as carried out in collaboration with such partners as British Telecommunication, Lufthansa Systems, Evonik Industries, Screwfix Direct or NHS. Master students on this programme will have an opportunity to be involved in such research projects as part of their studies.

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Publicidad

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