Overview

This is an exciting opportunity to undertake a 4-year funded integrated PhD and MSc in Data Analytics and Society.

Whilst you will complete your PhD and most MSc modules at your ‘Home University’ (where you are registered and your PhD supervisors are based), you will also be registered as a visiting student at the other three partner universities. This means you can access the facilities and resources of those universities throughout your studies with us.

Integrated MSc

The programme includes an integrated MSc in Data Analytics over the first two years, which will provide you with the foundation skills to complete your research project.

Modules include:

Core research training (Credits: 30).

Content: Methodology, Research Design, Ethics Quantitative & qualitative approaches.
The grounding in social science research methods includes elements of epistemology, qualitative research and critical theory as well as quantitative methods.

Domain skills for Data Science (Credits: 60).

This training is delivered through four 15 credit modules in a ‘short and fat’ format at regular intervals within Year One. Each partner hosts one module as follows:

  • Programming for Social Sciences  – University of Leeds
  • Analysis of Human Dynamics – University of Liverpool
  • Understanding Data and its Environment – University of Manchester
  • Social Analytics & Visualisation  – University of Sheffield

Internship (Credits: 15). Content: A portfolio to be developed in collaboration with a non-academic partner

Students will work with one of the non-academic partners, which may be their long-term PhD sponsor but would not necessarily be this organisation. It will involve a piece of data analysis which has been agreed between the Centre and the non-academic partner

Research project (Credits: 30)

Students will undertake a short dissertation.

Advanced skills (Credits: 45).

A wide variety of elective modules will be available to students which will be chosen to support their PhD project.

‘+4’ structure

The 4-year programme is organised as follows:

Year 1: 120 MSc credits (including Domain Skills modules and your Internship) and PhD research activity (equivalent to 60 credits, with five or more formal supervision meetings)

Year 2: 60 MSc credits (including your Research Project/Short Dissertation) and PhD research activity (equivalent to 120 credits, with five or more formal supervision meetings)

Years 3 & 4: PhD research study. You should have no further assessed modules to take in years 3 and 4, however you should still attend training according to your Training Plan and you should have a minimum of 10 supervision meetings each year.