QS HUB – Data Submission Guidelines

You can submit data for any of the below ranking projects that you are eligible for. To check the eligibility rules please follow the links to the individual Ranking pages.

• QS World University Rankings
• QS Subject Rankings
• QS Sustainability Rankings
• QS Arab Region Rankings
• QS Asia Region Rankings
• QS Europe Region Rankings
• QS Latin America and Caribbean Region Rankings

In the below sections you can find a summary of the types of data you can submit. For more information on each data type please refer to the DEFINITIONS tab (see below) on the data submission page.

Data - Faculty

In this section you can provide data on the number of full-time and part-time staff in your institution's academic faculty including the following:

• Faculty Staff
• Faculty Staff Male
• Faculty Staff Female
• Faculty Staff Other
• International Faculty Staff
• Staff with PhD

Data - Students

In this section you can provide data on the number of full-time and part-time individuals in your institution's student body including the following:

• Undergraduate Students
• Undergraduate International Students
• Undergraduate Exchange Students - Inbound
• Undergraduate Exchange Students - Outbound
• Postgraduate Students
• Postgraduate International Students
• Postgraduate Exchange Students - Inbound
• Postgraduate Exchange Students - Outbound

Data - Programmes

In this section you can provide data on the full-time and part-time programmes your institution offers including the following:

• Number of total undergraduate degree programs offered
• Number of total postgraduate degree programs offered
• Number of total undergraduate degree programs offered online
• Student Continuation Rate (in %)
• Number of total postgraduate degree programs offered online
• Student Retention Rate (in %)
• Completion Rate (in %)
• First Generation Learners
• Total number of non-degree courses offered online (e.g. micro credentials / vocational courses) that allow transfer of credits to degrees

Data - Fees

In this section you can provide data on your institution's tuition fees including the following:

• Undergraduate Fees - Domestic
• Undergraduate Fees - International
• Graduate/postgraduate Fees - Domestic
• Graduate/postgraduate Fees - International
• Overall Student Fees - Domestic
• Overall Student Fees - International
• How many students receive a scholarship covering 100% of their fees?
• How many students receive a scholarship covering at least 50% of fees?

Data - Employment Statistics

In this section you can provide data on any employment statistics captured from a student survey including:

• Number of Graduates
• Total Respondents
• Employed Graduates
• Unemployed Graduates
• Graduates in full-time further study
• Graduates unavailable to work
• Median Grad Salary (USD)

Data - Sustainability

To submit data for our Sustainability Rankings you will need to select SUSTAINABILITY under DATA SUBMISSION.

In this section you can submit data on your institution's sustainability efforts including data on the following areas

• Environmental Sustainability
• Environmental Education
• Environmental Research
• Equality
• Knowledge Exchange
• Health and Wellbeing
• Good Governance

For a full list of data points in this section please download the SUSTAINABILITY FORM.

Data - Academic and Employer Survey Contacts

To submit contacts for our Academic and Employer surveys you will need to select SURVEY LISTS from the STATISTICS  section in the menu.

1. Select the type of contacts you are uploading (Academic or Employer)
2. Click DOWNLOAD TEMPLATE to access the relevant Excel file.
3. Once the template file is completed click UPLOAD  and select the file
4. Confirm via tickbox that you have obtained consent from your contacts to pass on their data
5. Click SAVE

• Go to the QS HUB page and login using your credentials.
• If your institution does not yet have a QS HUB account please contact our SUPPORT TEAM

1. Once you are logged in to QS HUB, go to the menu on the left
2. Under INSTITUTIONS click STATISTICS
3. Under DATA SUBMISSION you should see the ranking projects you are currently subscribed to
4. Click the relevant project to open the data submission page

Once you are on the DATA SUBMISSION page you should see all of the data points you can submit.

• By clicking on a data point or cell it will turn green and allow you to input the relevant data. If data has previously been submitted, it will be shown in the cell.
• If data has not changed from the previous year you will need to click on each data point and click SAVE to confirm the data for the current year.
• You can save at any point and as many times as you want. The SAVE button is in the bottom right corner.

On the right side of the screen (or the bottom for narrow screens), you can find the Definition, History, and Messages tabs relating to each data point.

• The Definition tab will give details as to what kind of data is to be submitted.
• The History tab shows when previous data was submitted.
• The Messages tab allows you to add messaging and context to the data provided.

Warnings

If the system detects that data has been entered incorrectly it will issue a WARNING.

Warnings highlight the relevant cell in YELLOW and a dialogue box will explain the issue. You can still save data when a Warning has been used, but we suggest you check the data before doing so.

Errors

If the system knows that data is incorrect (usually based on calculations) it will flag an ERROR.

Errors highlight the relevant cell in RED, you will not be able to save till the Error is corrected. There are two types:

1. The data entered is significantly different from the previous value. The user is prompted to submit an explanation as a message (in the Messages tab from the sidebar) before saving.
2. The data entered in calculated cells is wrong. i.e. the overall number of students does not match the sum of undergraduates and postgraduates, or the number of staff with PhD is higher than the total staff.

Next to each data point you will see its status:

• No Status – For a new institution filling data on Hub for the first time, all data points will show as no status.
• Pending – Once data has been saved, its immediate status will show as pending. An institutional support analyst will validate the data once validation process begins.
• Queried – If the institutional support team requires further proof before validating any data point, that row is marked as queried and an email is sent to the university representative. Explanation can be provided via email and/or through the Messages section of Hub.
• Rejected – If adequate proof has not been submitted, the data point is marked as rejected. University representative can then re-enter new data for validation.
• Accepted – Data points that have been accepted will have changed status from pending/queried to accepted.