Politics, Big Data and Quantitative Methods at University of Warwick - UCAS

University of Warwick

Degree level: Postgraduate

Politics, Big Data and Quantitative Methods (Taught)

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

The Politics, Big Data and Quantitative Methods MA will enable you to assess and understand the growing influence and implications of big data and quantitative methods on political processes and decisions in everyday life. Course overview Big data and quantitative methods are transforming political processes and decisions in everyday life. Local, national and international administrations are making ‘open data’ available to wide audiences; giant, world-level web organisations are putting more and more services in synergy; and some private companies or governments are developing strongly ideological projects in relation with big data. Therefore, there is a need for trained specialists who will have the capacity to compete and/or collaborate with strictly business or technique-oriented actors on the basis of sound knowledge from political and international studies. Our programme provides you with an understanding of the implications of different approaches to issues concerning big data and public policy. Double Degrees Our Double Degree programmes enable you to combine the study of this MA programme in PAIS with a Master’s programme at any one of our partner universities:

  • American University, Washington DC, USA
  • University of Waterloo, Canada
  • Vrije Universiteit Brussel (VUB), Brussels, Belgium
  • Universitat Pompeu Fabra, Barcelona, Spain
  • University of Konstanz, Konstanz, Germany
  • Monash University, Melbourne, Australia
  • Nanyang Technological University, Singapore
Learn more about Double Degrees on our website. This information is applicable for 2024 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.

Modules

Core modules

  • Fundamentals in Quantitative Research Methods
  • Big Data Research: Hype or Revolution?
  • Advanced Quantitative Research
  • Dissertation
Optional modules Optional modules can vary from year to year. Example optional modules may include:
  • Theories and Issues in International Development
  • Normative Analysis
  • Theories and Traditions in Public Policy
  • The optional module lists are updated regularly.
You will have the freedom to select 2-3 modules that appeal to you from our extensive range of optional modules, up to a total of 120 CATS of taught modules.

Assessment method

Assessment methods include research essays and other (written) assignments throughout the year, culminating in a 10,000 word dissertation at the end.


Entry requirements

Minimum requirements 2:1 undergraduate degree (or equivalent) in a related subject. Visit our PAIS web pages for department-specific advice on applying to ensure your application has the best chance for success. English language requirements You can find out more about our English language requirements. This course requires the following: Band B IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above. International qualifications We welcome applications from students with other internationally recognised qualifications.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please visit the University of Warwick website for the tuition fees for postgraduate courses: https://warwick.ac.uk/study/postgraduate/funding/fees

Sponsorship information

We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries. It's important that you apply for your postgraduate course first before you apply for a University of Warwick scholarship.

Politics, Big Data and Quantitative Methods at University of Warwick - UCAS