The Discover Uni website provides comparable sets of information about full- and part-time undergraduate courses. It is run by the Office for Students and is designed to meet the information needs of prospective students.
As an additional technical resource for analysts and developers, we have made the raw dataset that underlies the Discover Uni website available for download. This incorporates information from the Unistats record. The download is presented as a *.zip file containing the data in both XML format and multiple *.csv files.
Supporting files, documents and information about updates to the data are provided below.
Experimental statistics - Graduate Outcomes and Longitudinal Education Outcomes (LEO) data
The Graduate Outcomes data in the Unistats dataset is being published as experimental statistics by HESA. Experimental statistics are newly developed or innovative official statistics undergoing evaluation. They are published with the aim of involving users and stakeholders in the assessment of their suitability and quality at an early stage. Users should exercise caution when using data from experimental statistics and evaluate the quality and coverage of any data they intend to use in the context of the intended application to ensure that it is fit for their purpose. We wish to continue to engage with users to ensure that our statistical products meet user needs. Please contact our Official Statistics team via [email protected]ac.uk or (0)1242 388 513 [option 2] to give feedback on this data.
The Longitudinal Education Outcomes (LEO) data in the Unistats dataset is also being published as experimental statistics by HESA, following receipt of the data from the Office for Students. This is available in the LEO3.csv and LEO5.csv files, and also between the GOSalary and Tariff entities in the XML Unistats dataset, as well as the LEO3SEC.csv and LEO5SEC.csv files, which exist within the SectorSal entity in the XML Unistats dataset.
The LEO data in the Unistats dataset is derived from data extracts owned by the Department for Education (DfE). The DfE do not accept responsibility for any inferences or conclusions derived from the LEO data by third parties.
Further information can be found on the OfS website
Terms and conditions
The Unistats dataset is free to copy, use, share, and adapt for any purpose. The Unistats dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You must give appropriate credit (HESA, www.hesa.ac.uk), provide a link to the licence, and indicate if any changes have been made.
When you click the button above, the download will begin. The file is delivered as a compressed archive (*.zip) containing a single XML file, a readme.txt file, and a number of *.csv files.
Supporting files and documents
Unistats record 2021/22: Coding manual for the 2021/22 data collection.
XSD schema file: Unistats output schema - Provides detail of the structure of the data file.
Overview of the dataset: Unistats dataset file structure and description.
Brief introduction to XML format: Using the Unistats output file
Subject codes: Lookup table for CAH 1.3.4 (applicable to latest data)
KISAIM codes: List of KISCourse.KISAIM valid entries.
Updates to the Unistats dataset will be made as required, and in parallel with the Discover Uni website, when contributing higher and further education providers wish to update their information, or when HESA or the Office for Students (OfS) make changes to the underlying data. These updates occur weekly on Wednesday mornings. The file name of the *.zip file includes the date and time.
Please see the OfS statement on corrections and revisions to the data presented on the Discover Uni website for a full description of how Unistats data changes throughout the year and how these changes are recorded.
If you have any questions on the dataset, please email HESA’s Official Statistics team, or call +44 (0)1242 388 513
Older Unistats data
If you are using an older version of the Unistats dataset please use the supporting files for the relevant collection year. These are available via the 'collection' links below.
Unistats Collection 2020/21 for dataset downloaded 2020-10-13 to 2021-09-29
Unistats Collection 2018/19 for dataset downloaded 2018-09-01 to 2019-09-10.
KIS Collection 2015/16 for dataset downloaded 2015-09-03 to 2016-08-31
KIS Collection 2014/15 for dataset downloaded 2014-08-28 to 2015-09-02
KIS Collection 2013/14 for dataset downloaded 2013-09-19 to 2014-08-27