Big Data and Digital Futures - PGDip

Bachelor's degree

In Coventry

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Coventry

  • Duration

    1 Year

  • Start date

    Different dates available

Increasingly, big data is used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You'll learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries.

Facilities

Location

Start date

Coventry (West Midlands)
See map
University Of Warwick, CV4 7AL

Start date

Different dates availableEnrolment now open

About this course

Our graduates have gone on to work for organisations including: local government.

Examples of our graduates’ job roles include: data analysis, policy, journalists and planning.

2:i undergraduate degree (or equivalent) in a relevant subject

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Subjects

  • Writing
  • Data
  • Quantitative
  • Methodological
  • Science
  • Mathematics
  • Statistics
  • Social Science
  • Analysis
  • Development

Course programme

Core Modules:
  • Fundamentals in Quantitative Research Methods
  • Big Data Research: Hype or Revolution?
  • Advanced Quantitative Research
Optional Modules:

This programme has optional modules to choose from (e.g. Urban Data; Visualisation; User Interface Cultures). At a research led institution, optional module lists are subject to change each year to keep the student learning experience current and up-to-date.

You'll take three core modules. Lab work, report writing and data skills training will form an integral part of your learning experience. You'll be invited to attend optional short certified ‘Masterclasses’ to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecasting; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods.

You don’t need a computer science, mathematics or statistics background to apply. The focus is on skilling-up on key techniques intrinsic to applied quantitative social science. A willingness to engage with world social science issues is essential.

Big Data and Digital Futures - PGDip

Price on request