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Big Data and Digital Futures - PGCert (Full-Time/Part-Time, 2018 Entry)

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.

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.forecastng; 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.

Core Modules:

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

* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.

Teaching:
Modules in this course make use of range of teaching and learning techniques, including, for example: blended learning including the use of an online virtual learning environment; student group and project work; lectures; seminars; reading and directed critical discussion; independent research by students; practice-based activities. Modules are designed to allow students with different disciplinary backgrounds to learn from each other and have a productive exchange of ideas.

Assessment:
A combination of essays, reports, design projects, technical report writing, practice assessments, group work and presentations and an individual research project.

Graduate Destinations:

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.

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Essential information

Duration

Full-time: 9 months

Part-time: 18 months

Entry requirements

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

English Language requirements

Band B

Department of study

Centre for Interdiciplinary Methodologies

Location of study

University of Warwick

Course fees

Full-time:
Home/EU: £6,580 per year
Overseas: £13,730 per year

Part-time:
Home/EU: £3,720 per year
Overseas: £7,295 per year

Find out more about fees and funding.

 

Department website

Order a PG magazine

Application information

 

This information is applicable for 2018 entry.