Statistical information has been fully anonymised. In producing statistical information, all reasonable care must be taken to ensure that information about identifiable students is not published and that it is not possible to deduce the identity of students through the combination of multiple published datasets. Where data contains groups of less than 5 students in the data tables are displayed as <5, in the graphs it is displayed as 4.

Forecasting data is maintaned by the Marketing, Recruitment and International Office

1. The forecasts of student numbers are in FTE from Qlikview Financial FTE Model except for 2012/13 Actual No.s. See Note. 5 for details.
2. The data is based on fully 'registered' students in MyCampus not 'enrolled', from the live Registration Statistics provided by Planning through Qlikview, latest figures 20/02/2015 for 2013/14 Actual No.s, and 27/02/2015 for 2014/15 No.s.
3. Exclusions: A) postgraduate 'writing up' and exam only/extension students, Access courses, External and University Services are not included; B) Erasmus-in and Exchange-in are excluded as they don't pay fees; C) Christies' PGT students in the College of Arts are excluded; D) SIT, UESTC and Oman TNE are excluded from total numbers, but listed separately.
4. Inclusions: from 2013/14, Distance Learning, Exchange-out, Erasmus out, Language Year Abroad in addition to Study Abroad (Visiting) as in 2012/13 have been included. Note: Study Abroad forecast numbers are headcounts, but Study Abroad actual numbers are FTE from Qlikview Financial FTE Model. See 'Study Abroad' tab for details on FTE calculation.
5. Notional FTE: 2012/13 FTE data is not available from MyCampus/Qlikview, therefore FTE has been converted from headcount using the approximation: 1 FT student = 1.0 FTE and 1 PT = 0.5 FTE, as suggested by Neal Juster. Numbers have taken College splits into consideration already.
6. Regional forecast figures are in headcount using data from Qlikview Student Headcount Model.
7. The headcount numbers have been split on the basis of subjects/Plans, not academic load. A student can belong to up to 2 Plans if it is joint, e.g. French/Politics, and if they are in 2 Plans their headcount is halved between the two Schools. Psychological Studies PGTs are not split so all are included in School of Education; Joint programmes with GSA e.g. Product Design Engineering are not included.
8. Nationality has been used to determine regional split rather than domicile.
9. PGR numbers are expected to increase as registration can take place throughout the session.
10. The University has an international student population KPI of 3550 FTE by 2014/15. Colleges set their own targets up to 2018/19 (updated in April 2015) after the international target was set. The College targets overshoot the total University KPI. The International Recruitment Team also set their recruitment targets in headcount up to 2017/18 (updated in April 2014) with a view to deliver the College budget targets.
11. The University also set intake targets for undergraduate Home/EU, RUK and Scottish MD40 student numbers, which are targets for new entrant numbers in headcount.

If you have any questions regarding the forecasting pages, please contact the Marketing, Recruitment and International Office

Key Performance Indicators (KPIs)

The University of Glasgow purchased the UK Big Data set from HESA which contains data on every student in the UK.

There are 3 data sets;

Data set 1 : General Student Information
Data set 2 : FTE Student Information
Data set 3 : Mobility Student Information (only available from 2013/14 onwards)


The Data is updated once a year when we purchase the UK Big Data set from HESA, this is usually around March or April.

The KPI pages calculate KPI metrics from these data sets to display KPIs for every University in the UK for comparison with the University of Glasgow at a University Level and JACS Principal Subject Level.

There are lots of other metrics in these data files;

Age on Entry
Nationality
Year of Study
Gender
Disability, etc

if you require KPI comparison data for another metric please contact us by email at: planning@glasgow.ac.uk or by contacting a member of the Planning and Business Intelligence Management Team: http://www.gla.ac.uk/services/planning/contactus

Please treat all of this data for internal use only and treat as confidential. Publicly available information is available at: http://www.gla.ac.uk/services/planning

The National Student Survey (NSS) is an annual survey which gives university and college students the chance to have their say about what they liked and did not like about their student learning experience during their time in higher education. The majority of students who complete the survey are in their final year.

In the survey, statements are put to students who then rate their university/college and the course they took against these, answering on a five-point scale from 'definitely disagree' to 'definitely agree'. The groups of statements cover topics such as:

• The teaching on my course
• Assessment and feedback
• Academic support
• Organisation and management
• Learning resources
• Personal development

NSS data is only shown on Unistats where at least 23 students have completed the questionnaire and where the respondents make up at least half of all the students on that course. If there are less than 23 students, data cannot be published even if they were all to complete the NSS questionnaire.

In some cases, course numbers may be combined so as to meet the thresholds for publication but for some courses there will be no other relevant data that will serve the purpose. If the subject is new to the university, information about it may not be available yet.

The National Student Survey is run by the Higher Education Funding Council for England (HEFCE) on behalf of the Scottish Funding Council (SFC), Department of Employment and Learning, Northern Ireland (DELNI) and the Higher Education Funding Council for Wales (HEFCW). The survey is undertaken on their behalf by Ipsos MORI.

The Guardian gives an explanation of how the NSS scores are calculated

The League table data is 'screen scrapped' from the Guardian, Times and Sunday Times websites.

The Guardian provides the following metrics;

Value-added score compares students individual degree results with their entry qualifications, to show how effective the teaching is. It is given as a rating out of 10
Staff-student ratio (SSR) is the number of students per member of teaching staff.

The Times provides the following metrics;

Research quality is a measure of the average quality of research
Entry Standards is the average entry tariff means the typical Ucas scores of students currently studying in that department
Student satisfaction is the percentage of final-year students satisfied with overall quality, based on the National Student Survey (NSS)
Graduate prospects is the percentage of graduates who find graduate-level jobs, or are studying further, within six months of graduation
The overall score out of 100 is a rating of excellence based on a combination of all the other factors

This page displays all the University of Glasgows league table positions in one table to compare all the rankings.
The Big HESA Data set is compared against the Russell Group as the Russell Group are always the top Universities in these rankings
NSS and League Tables are compared against ALL Universities as Russell Group Universities tend not to be the top Universities in these rankings

We use a 'Traffic Light' colouring system to highlight those scores that are doing well and not so well.
The Traffic lights use quartiles to colour code the scores;

•  The subject is in the top quarter of Universities
•  The subject is between the median and top quarter of Universities
•  The subject is below the median of Universities

The HESA UK Big Data sets associates every student in the UK with a JACS Principal Subject

There are around 165 JACS Principal Subjects , examples are;

(A1) Pre-clinical medicine
(F3) Physics
(I3) Software engineering
(L2) Politics
(R4) Spanish studies


Every University of Glasgow's School and Institution is associated with one or more JACS Principal Subjects

For example the College of MVLS is associated with the following Schools and Institutes;

Biodiv Animal Hlth/Comp Med
Cancer Sciences
Cardiovas & Medical Sciences
Health and Wellbeing
Veterinary Medicine
Life Sciences
Medicine
Inf. Immun & Inflamation
Neuroscience & Psychology


The School of Medicine is associated with the following JACS Principal Subjects

Clinical dentistry
Clinical medicine
Nursing
Nutrition
Others in medicine and dentistry
Pre-clinical dentistry
Pre-clinical medicine

An example is as follows;

Student A's JACS Principal Subject area is "Clinical Medicine". This belongs to the School of Medicine and College of MVLS. So this student will be counted in all the KPIs associated with "Clinical Medicine", the School of Medicine and College of MVLS.

Student B's JACS Principal Subject area is "History by Topic". This belongs to the School of Culture and Creative Arts and College of Arts. So this student will be counted in all the KPIs associated with "History by Topic", the School of Culture and Creative Arts and College of Arts.

Calculated from the classification of degree field and works out the % of students who achieved a first class honours or upper second class honours.
% of 1st and upper second's is calculated by working out the % of first and upper second awards against all other awards excluding unclassified.

This data is read from Data Set 1.

We only have the University of Glasgow's continuation statistics as continuation cannot be calculated from the Big HESA Data set as there is no way of linking two students over two years worth of data. We did query using the INSTANCE KEY field but were told this changes every year.

This means we only have this data at the top level page which links to the Continuation page, we have no Subject Level continuation data but this may come in the future.

This data is read from two years worth of the University of Glasgow's HESA return.

HESA gives us the tariff scores for the following students;

Standard Registration population UG, Full-time and sandwich First year students under the age of 21.

The students FTE is not taken into account, the tariff score is shown "as is" from the data set.

We do not display Tariff KPI scores per College, School or Institution, we only display the average Tariff per JACS Principal Subject

An example is as follows;

Student A's is a Standard Registration population UG, Full-time and sandwich First year student under the age of 21.

The students JACS Principal Subject is Clinical Medicine.

Therefore this students tariff score will be counted in the average tariff associated with the JACS Principal Subject Clinical Medicine.

This data is read from Data Set 1.

Please note you can view the University of Glasgow's Tariff scores per College, School or Institution by clicking on the Tariff menu item on the main menu.

International students full-time equivalent totals. A student is classed as International if they are NOT eligible to pay home fees

This data is read from Data Set 2.

Post Graduate Taught (PGT) students full-time equivalent totals. HESA provides this information in the Level of Study field (F_XLEV501). We count a student as being PGT if the Level of Study field is '2'


Possbile values are;

1 : Postgraduate (research)
2 : Postgraduate (taught)
3 : First degree
4 : Other undergraduate
5 : Further education
PGCEUG : Undergraduate PGCE
PGCEPG : Postgraduate PGCE


This data is read from Data Set 2.

A student is classed as having being awarded a PHD if their level of qualification obtained F_XQLEV1003 is equal to '01' Doctorate

This data is read from Data Set 1.

We only have the University of Glasgow's progression statistics as continuation cannot be calculated from the Big HESA Data set as there is no way of linking two students over two years worth of data. We did query using the INSTANCE KEY field but were told this changes every year.

This means we only have this data at the top level page which links to the progression page, we have no Subject Level progression data but this may come in the future.

This data is read from two years worth of the University of Glasgow's HESA return.

Post Graduate Research (PGR) students full-time equivalent totals. HESA provides this information in the Level of Study field (F_XLEV501). We count a student as being PGR if the Level of Study field is '1'


Possbile values are;

1 : Postgraduate (research)
2 : Postgraduate (taught)
3 : First degree
4 : Other undergraduate
5 : Further education
PGCEUG : Undergraduate PGCE
PGCEPG : Postgraduate PGCE


This data is read from Data Set 2.

Rest of the UK (RUK) students full-time equivalent totals. A student is classed as RUK if they are eligible to pay home fees and their DOMICILE is NOT Scotland

This data is read from Data Set 2.

A Student is counted as Mobile if they have mobility field entry in the HESA All UK Big HESA Data Set. We dont inspect the mobility field, just count the student as mobile if they have an entry.

This data is read from Data Set 3. (Only available since 2013/14)

Every students full-time equivalent totals.

This data is read from Data Set 2.

Undergraduate (UG) students full-time equivalent totals. HESA provides this information in the Level of Study field (F_XLEV501). We count a student as being UG if the Level of Study field is '3' or '4'


Possbile values are;

1 : Postgraduate (research)
2 : Postgraduate (taught)
3 : First degree
4 : Other undergraduate
5 : Further education
PGCEUG : Undergraduate PGCE
PGCEPG : Postgraduate PGCE


This data is read from Data Set 2.

Data is based on the Scottish Index of Multiple Deprivation (SIMD): with Population Weighting as defined by the Scottish Funding Council (SFC) identifying small area concentrations of multiple deprivation across Scotland: http://www.gla.ac.uk/media/media_289960_en.pdf

This is a summary of student FTE for each of the Colleges and University displaying totals for Undergraduate, PGR and PGT students. The FTEs are derived from Full-Time and Part-Time students Session population taken from the HESA student returns from the past 5 years.

The FTE calculation is as follows;

    First we calculate the sum of all the Modules FTEs for all the Modules in the Student Instance for every Module the Student is on ( StudentOnModule )
    and For every Module Subject ( ModuleSubject ) in the Module

    FTE = (Module Subject Percentage ( MODSBJP ) * Module FTE /
    sum of all the FTEs for all the modules in the student instance) * Student Load ( STULOAD )

The FTEs are split into Colleges and Schools. A students College and School is derived from the module the student is on.

Note the sum of the FTEs in the Colleges will not equal the University totals because we are not displaying students in University Services.

This is the same as 'Student FTE by College and School' the only difference being the FTEs are displayed by Cost Centre and not School. Every module a student is on a has an associated Cost Centre (as well as a College and School association).

Calculates Standard Registration population Undergraduate/PGR/PGT student full-time and part-time disability totals for the University using the HESA DISABLE field which records the type of disability that a student has, on the basis of the student's own self-assessment.

Calculates Standard Registration population Undergraduate/PGR/PGT student ethnicity totals for the all Colleges and the University using the HESA ETHNIC field which records the students ethnicity.

We only show the totals for UK students for all years as the 2011-2012 return only returned ethnicity for UK students. This allows a like for like comparison for the last 5 years worth of returns.

Calculates Standard Registration population Undergraduate student full-time and part-time socio-economic classification totals for the Colleges and University using the HESA SEC field which records the socio-economic classification of students participating in HE if 21 or over at the start of their course or parental classification if under 21

Calculates from ALL the students (NOT JUST Standard Registration population) Undergraduate student full-time and part-time degree classification totals for the Colleges and University using the HESA CLASS field which indicates the qualification class that the student obtained.

Calculates from the students Standard Registration population Undergraduate/PGR/PGT student full-time and part-time term time accommodation totals for the University using the HESA TTACOM field which records where the student is living during the current year.

Progression is when a student appears in one years HESA Student return and also appears in the following years HESA return with YEARPRG incremented. Only UK Full Time First Degree Standard Registration population students are included. Students who have an ENDDATE set but the ENDATE is after the 1st of December are counted in the progression calculation.

If a student is intercalating, we count them as progressing regardless if their YEARPRG has incremented.
Five Years worth of Student Return XML files were processed to display the percentages of students who have progressed for all the Schools and Colleges in the University, broken down into years.

• Year 1 into Year 2
• Year 2 into Year 3
• Year 3 into Year 4

First degree includes first degrees (including eligibility to register to practice with a health or social care or veterinary statutory regulatory body), first degrees with Qualified Teacher Status (QTS)/registration with a General Teaching Council (GTC), postgraduate bachelors degree at level H, enhanced first degrees (including those leading towards obtaining eligibility to register to practice with a health or social care or veterinary statutory regulatory body), first degrees obtained concurrently with a diploma and intercalated first degrees.

UK students are those students who have a DOMICILE code of Great Britain, Scotland, England, Wales, Northern Ireland, UK or UK Not otherwise specified.

FAQ

Do the progression rates take any account of repeaters? I suspect that they include only students who progress in the minimum time and therefore exclude repeaters, who might take 3 years to get from level 1 to level 3 rather than the minimum of 2. (I am particularly interested in the fraction of students who progress to level 3 and the impact of allowing students to repeat; practice varies significantly in my college.)

Progression uses YEARPRG, If a student needs to repeat a year then the YEARPRG will be changed back. So they would be classed as non-progression. (they would be counted as continued though)

I presume that the progression rates from level 2 to 3 include direct entrants to level 2, who may have a significant effect in some schools.

Yes, A direct entrant to year 2 should have YEARPRG 2

Do we have access to further breakdowns of the data?

There is no further breakdown for progression on QlikView, we only have continuation data breakdowns on QV.

Do the numbers for Psychology, Geography, Mathematics and Computing Science include all programmes, with those based in other colleges (MA and MA Soc Sci) as well as the BSc in CoSE?

We work out the school and college by the plan owner, a plan could be owned by two Colleges or two schools.

Continuation is when a student appears in one years HESA Student return and also appears in the following years HESA return

Only UK Full Time, First year First Degree students are included. Students who have a COMDATE between the 31st of July and the 1st of August in the reporting year are counted in the continuation calculation.

First degree includes first degrees (including eligibility to register to practice with a health or social care or veterinary statutory regulatory body), first degrees with Qualified Teacher Status (QTS)/registration with a General Teaching Council (GTC), postgraduate bachelors degree at level H, enhanced first degrees (including those leading towards obtaining eligibility to register to practice with a health or social care or veterinary statutory regulatory body), first degrees obtained concurrently with a diploma and intercalated first degrees.

UK students are those students who have a DOMICILE code of Great Britain, Scotland, England, Wales, Northern Ireland, UK or UK Not otherwise specified.

FAQ

Do we have access to further breakdowns of the data?

Yes there is a further breakdown for continuation on QlikView in the 'Student Continuation QV model'. This also gives continuation rates for all Universities in the Russell Group as well as several years worth of the University of Glasgow's student continuation by tariff, degree, plan, college, school, gender, ethnicity, MD2040 etc.

Displays full-time and part-time by level & home/overseas student headcounts, broken down into Schools and Colleges.

Only those students in the Standard Registration population are used in the calculations.

Displays average Tariff Scores by School, College and individual students. Tariff scores are for Standard Registration population UG, Full-time and sandwich First year students under the age of 21 based on the Tariff Calculation Rules (XTARIFF in zip)

This is an overview of the number of items added (metadata and/or fulltext), the number of downloads and the proportion of records which have full text (and those which are Open Access, that is freely available).