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Student Alternative record training

Online short courses

By clicking the link to access E-Learning Training, you confirm that you accept HESA's terms and conditions attached to the provision of that training and HESA’s privacy policy. Please note that we may also contact you regarding any post-course feedback upon completion of the course in line with our privacy policy.

Introduction to the HESA Student Alternative Record (C21054)

This CPD-accredited training course offers an introduction to the Student Alternative record and provides an overview of the entire data collection process. It is ideal for colleagues new to the Student Alternative record and will cover the key concepts behind the record as well as the entities and key data items; validation; and submission of Student Alternative data. It also covers updates to the record, reflective of recent changes.

Learning objectives:

  • Understand the key concepts underpinning HESA data collection and submission
  • Define key data items relating to the Student Alternative record
  • Identify how to validate and process data on HESA systems
  • Access online resources to support your data submission

Upon successful completion you will receive a CPD certificate for your records. For us to be able to issue you with a certificate please ensure the name you log in with, and that which is connected to your e-learning account, is your full name.

This CPD activity equates to 1.5 CPD hours.

This course was updated on 10 February 2022 (coding manual version 1.4)

Privacy statement

The software that we use for our short-courses is provided by Easygenerator. To complete our short-courses you will need to provide some personal information (name and email address), this will allow you to take a break and return to the course in your own time. Only HESA staff will have access to your personal information, and we will only use this information to administer and monitor the use of our courses.

Please see the HESA Privacy information page for more information on how we process personal data.