Our Studentships

The Grand Union DTP offers at least 35 studentships each year, across 24 training pathways (or subject areas). In addition to funding for fees and living costs (depending on eligibility), DTP students benefit from being able to access a variety of other pots of funding and a wide range of training available at the three partner universities.

The DTP offers two forms of studentships:

Full Awards

For candidates who meet the ESRC residency requirements, a full award covers the following for the duration of the funded period:  

  • Maintenance grant at the UKRI national minimum doctoral stipend rate (£14,777 in 2018-19 for 12 months). If the award is for a period of less than 12 months in any year, the grant is reduced pro-rata to reflect the number of days for which a student is enrolled on-course.
  • University fees: fully covered by both the ESRC and your pathway/department

Fees-only Awards

For students ordinarily resident in an EU country other than the UK, a fees-only award covers the following for the duration of the funded period: 

  • University fees: fully covered by both the ESRC and your pathway/department;

The award type that is offered to a student is determined by whether a given student satisfies the ESRC's residential edibility criteria. See the Eligibility page for more details. 

Funding is adjusted on a pro-rata basis for part-time students.  

Advanced Quantitative Methods and Data Skills (AQM) Awards

The Grand Union DTP will offer at least 4 awards to students using advanced quantitative methods or data skills in their research. The awards are available across all pathways, and the expectation is that the research design and analysis will deploy methods or data skills that extend beyond the standard expectations in your field.

Aspects of proposed AQM may include the following, depending upon the subject area and proposed research:

  • Advanced methods of data collection and data analysis techniques
  • Use of large and complex data sets (admin data, digital data, census data)
  • Specific experimental, quasi-experimental or evaluation methods
  • Advanced use of data and programming skills (including AI and e-Research tools)

Applicants will be asked to consider how their research will use quantitative approaches, statistical skills, or methods that are regarded as advanced, as well as the advanced methods training that would be undertaken at a level over and above the usual subject-specific methods requirements. 

The ESRC has relaxed the residential eligibility rules for AQM awards, and the Grand Union is permitted to offer up to one full AQM award to a student not normally resident in the UK. See the Eligibility page for more details. 

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