AGCAS Data Day: Making data work for you

Join us for a day dedicated to data.

This event will explore the use of data in higher education careers services, with sessions offering an overview of the national data landscape and an introduction to the key data sources that enhance our understanding of student career development, the student experience, graduate outcomes and the graduate labour market.

The programme includes sessions dedicated to the Graduate Outcomes survey, including:

  • how the survey is run
  • the structure of the data and what it covers
  • data delivery and survey outputs, including key metrics
  • how Graduate Outcomes differs from DLHE
  • how to talk about the data with internal and external stakeholders.

In anticipation of the publication of Year Two Graduate Outcomes data in July, an overview of what to expect in the next release and how this differs from Year One outputs will also be provided. HESA representatives will highlight the support available to providers, offer key insights into the current survey, and outline future developments planned.

Data showcases will cover how the use of a range of data sources can help to:

  • build labour market intelligence
  • enhance funding bids
  • fill in gaps in knowledge to enhance graduate support
  • map student engagement.

Throughout the day, delegates will learn:

  • what role data plays as part of broader attempts to understand the student and graduate experience
  • how to use data sources effectively to inform practice, evaluate service delivery and leverage influence in their institution
  • which key data sources are used in the current metric-driven regulatory landscape to inform policy and measure student and graduate success.

The programme includes contributions from members of the AGCAS Graduate Data Group, which includes a mix of data experts, planning professionals and careers consultants, and AGCAS members active in other areas of Data Insights or strategic theme activity. All will draw on their experiences of using data effectively in a range of different contexts.


By the end, participants should be able to:

  • Understand the institutional context: how data is used to inform practice/strategy, enhance and enable service delivery, measure the effectiveness of interventions and demonstrate impact.
  • Talk confidently about core datasets, and the key metrics/performance indicators that draw on these datasets, to academic colleagues and other institutional colleagues.
  • Articulate why student and graduate data is important to internal and external stakeholders.
  • Evaluate the strengths and limitations of different data sources.
  • Fill in any gaps in knowledge to achieve the same level of expertise about Graduate Outcomes as with DLHE.