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Big Data and Digital Futures - MSc

Increasingly, big data is used to track and trace social trends and behaviours. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You will 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 and a dissertation. Optional modules (see below) allow further specialisation. Lab work, report writing, data skills training and guest lectures by industry experts will form an integral part of your learning experience. You will be invited to attend 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 conducting and understanding applied quantitative social science, so 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?
  • Dissertation

Optional Modules:
This programme has optional modules to choose from to allow you to achieve the required credits to successfully complete the award. 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. For the optional modules available in this department please visit the department website.

* 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: 1 year

Part-time: 2 years

Entry requirements

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

English Language requirements

Band B

There may be the option to attend the Pre-Sessional English Programme prior to commencement of study. See the Pre-Sessional English Programme website for information, but note that CIM has the additional requirement of a minimum 6.0 in the IELTS writing component for acceptance through this programme.

Department of study

Centre for Interdisciplinary Methodologies

Location of study

University of Warwick

Course fees

Full-time:
Home/EU: £9,440 per year
Overseas: £20,160 per year

Part-time:
Home/EU: £5,150* per year
Overseas: £10,510* per year

*Students pay £800 in 2017/18 and £860 in 2018/19 for laptop in Year 1 only.

Find out more about fees and funding.

 

Department website

Order a PG magazine

Application information

 

This information is applicable for 2018 entry.