qs world university rankings 2015/2016
TRANSCRIPT
2015/2016
2
Everyone is facing changes No one knows what's going on. And everyone is changing places Still the world keeps moving on.
Changes Hugh Laurie (2013)
CAREER DEVELOPMENT
EDUCATIONAL ACHIEVEMENT
and
INTERNATIONAL MOBILITY
by fostering
MOTIVATEDPEOPLE
To enable
POTENTIALto achieve their
around the
3
OUR AUDIENCE
PROSPECTIVE (INTERNATIONAL)
STUDENTS
ACADEMICS
PROSPECTIVE PARTNERS
SCHOLARSHIP PROVIDERS
CURRENT STUDENTS
EMPLOYERSUNIVERSITY
LEADERS
GOVERNMENT
ALUMNI
4
INTERNATIONAL STUDENT GROWTHWorldwide
OECD
G20 countries
Europe
North America
Oceania
Source: OECD and UNESCO Institute for Statistics for most data on non-OECD countries.
2.1m
4.5m
5
OU
R A
PP
RO
AC
H
WORLDCLASS
UNIVERSITYA UNIQUE LENS
QS the only global ranking authority to consider it
Central to the life goals of most prospective students
An essential inclusion in every QS assessment
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ACADEMICREPUTATION
FACULTY STUDENT
CITATIONS PER FACULTY
EMPLOYER REPUTATION
INT’L STUDENTS
INT’L FACULTY
Consistent, simple methodology
Stable results
Discipline independent
Language independent
Low dependence on self-reporting
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powered by
IN NUMBERS
OVER
3,500UNIVERSITIES CONSIDERED
COVERED IN
500+MAJOR MEDIA
OUTLETS
OVER
30ACADEMIC ADVISORS
OVER
30mDIRECT WEB
VISITORS
OVER
120kSURVEY
RESPONSES
LED BY
50+YEARS’ RANKING
EXPERIENCE
OVER
100mTOTAL WEB
VISITORS
USED BY OVER
9NATIONAL
GOVERNMENTS
JUST
28NEW ENTRIES IN
2015
OVER
890UNIVERSITIES
RANKED
RUN FOR
10YEARS IN
2014
8
THE(2010)
LEIDEN(2009)
ARWU(2003)
WEBO(2004)
MINES PARIS TECH(2007)
QS(2004)
SCIMAGO(2009)
GLOBAL UNIVERSITIES
RANKING
(2009)
HIGH PERFORMANCE UNIVERSITIES
(2009)
CWUR(2013)
UIGREENMETRIC
(2010)
U-MULTIRANK
(2014)
URAP(2010)
HEEACT/NTU(2007)
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US NEWS(2014)
LINKEDIN(2014)
ROUND UNIVERSITY
RANKING
(2010)
10
QS7,389
THE19,561
WEBO32,388
ARWU39,080
14 SEPTEMBER 201511
>25,000 media clips
>4,500 media clips from China
>64.5% share of voice
>1,240 hits on Google News today
topuniversities.com >30mglobal >100m
148,950views on 2014 launch video
>76,500 likes
@worlduniranking >9,900 followers
@topuniversities >9,900 followers
>3,500 group members
>30,000 app downloads
>1,000 active users/day
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The QS World University Rankings, and the work of the QS Intelligence Unit more broadly, are widely referenced, well respected and eagerly
anticipated by thought leaders worldwide13
UNESCO contributor
Recognised and followed by
governments and leading politicians
The only international
“IREG Approved” rankings
Engaged with leading employers
Fuelling broader research
14
15
The most dangerous phrase in the language is, “We’ve always done
it this way.”
Rear Admiral Grace Hopper Pioneering Computer Scientist
1906-1992
WHAT’S NEW SINCE 2014?16
FACULTY AREA NORMALIZATION
INTRODUCED AFFILIATION THRESHOLD FOR PAPERS
ADDED 28 NEW UNIVERSITIES
REMOVED SUPERFLUOUS
SCOPUS CONTENT TYPES
EXTENDED SURVEY
WINDOWS TO FIVE YEARS
76,798
44,226
2010 2011 2012 2013 2014 2015
SURVEY MEASURES
17 ACADEMIC
EMPLOYER
SCOPUS CONTENT TYPES
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In consultation with Elsevier, some (typically not citation yielding) content types have been excluded from analysis:
Article
Review
Conference Paper
Book
Book Chapter
Article in Press
Business Article
Abstract Report
Conference Review
Editorial
Erratum
Letter
Note
Press Release
Short Survey
IN OUT
Yerevan Physics Institute, Yerevan, Armenia;b Institut für Hochenergiephysik der OeAW, Wien, Austria;c National Centre for Particle and High Energy Physics, Minsk,Belarus;d Research Institute for Nuclear Problems, Minsk, Belarus;e Universiteit Antwerpen, Antwerpen, Belgium;f Vrije Universiteit Brussel, Brussel, Belgium;g UniversitéLibre de Bruxelles, Bruxelles, Belgium;h Ghent University, Ghent, Belgium; Université Catholique de Louvain, Louvain-la-Neuve, Belgium;j Université de Mons, Mons,Belgium; Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil l Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil m Instituto de Fisica Teorica,Universidade Estadual Paulista, Sao Paulo, Brazil n Institute for Nuclear Research and Nuclear Energy, Sofia, Bulgaria o Institute of System Engineering and Robotics,Sofia, Bulgaria p University of Sofia, Sofia, Bulgaria q Institute of High Energy Physics, Beijing, China r State Key Lab. of Nucl. Phys. and Tech., Peking University, Beijing,China s Universidad de Los Andes, Bogota, Colombia t Technical University of Split, Split, Croatia u University of Split, Split, Croatia v Institute Rudjer Boskovic, Zagreb,Croatia w University of Cyprus, Nicosia, Cyprus x Charles University, Prague, Czech Republicy Academy of Scientific Research and Technology of the Arab Republic ofEgypt, Egyptian Network of High Energy Physics, Cairo, Egypt z National Institute of Chemical Physics and Biophysics, Tallinn, Estonia aa Department of Physics,University of Helsinki, Helsinki, Finland ab Helsinki Institute of Physics, Helsinki, Finland ac Lappeenranta University of Technology, Lappeenranta, Finland ad DSM/IRFU,CEA/Saclay, Gif-sur-Yvette, Franceae Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France af Institut Pluridisciplinaire Hubert Curien,Université de Strasbourg, Université de Haute Alsace Mulhouse, CNRS/IN2P3, Strasbourg, France ag Centre de Calcul de l'Institut National de Physique Nucleaire et dePhysique des Particules, CNRS/IN2P3, Villeurbanne, France ah Université de Lyon, Université Claude Bernard Lyon 1, CNRS-IN2P3, Institut de Physique Nucléaire deLyon, Villeurbanne, France ai E. Andronikashvili Institute of Physics, Academy of Science, Tbilisi, Georgia aj Institute of High Energy Physics and Informatization, TbilisiState University, Tbilisi, Georgia ak RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany al RWTH Aachen University, III. Physikalisches Institut A,Aachen, Germany am RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germanyan Deutsches Elektronen-Synchrotron, Hamburg, Germany ao University ofHamburg, Hamburg, Germany ap Institut für Experimentelle Kernphysik, Karlsruhe, Germany aq Institute of Nuclear Physics Demokritos, Aghia Paraskevi, Greecear University of Athens, Athens, Greece as University of Ioánnina, Ioánnina, Greece at KFKI Research Institute for Particle and Nuclear Physics, Budapest, Hungaryau Institute of Nuclear Research ATOMKI, Debrecen, Hungary av University of Debrecen, Debrecen, Hungary aw Panjab University, Chandigarh, India ax University ofDelhi, Delhi, India ay Saha Institute of Nuclear Physics, Kolkata, India az Bhabha Atomic Research Centre, Mumbai, India ba Tata Institute of Fundamental Research - EHEP,Mumbai, India bb Tata Institute of Fundamental Research - HECR, Mumbai, India bc Institute for Research in Fundamental Sciences (IPM), Tehran, Iran bd INFN Sezione diBari, Bari, Italy be Università di Bari, Bari, Italy bf Politecnico di Bari, Bari, Italy bg INFN Sezione di Bologna, Bologna, Italy bh Università di Bologna, Bologna, Italy bi INFNSezione di Catania, Catania, Italy bj Università di Catania, Catania, Italy bk INFN Sezione di Firenze, Firenze, Italy bl Università di Firenze, Firenze, Italy bm INFN LaboratoriNazionali di Frascati, Frascati, Italy bn INFN Sezione di Genova, Genova, Italy bo INFN Sezione di Milano-Bicocca, Milano, Italy bp Università di Milano-Bicocca, Milano,Italy bq INFN Sezione di Napoli, Napoli, Italy br Università di Napoli Federico II, Napoli, Italy bs INFN Sezione di Padova, Padova, Italy bt Università di Padova, Padova, Italybu Università di Trento (Trento), Padova, Italy bv INFN Sezione di Pavia, Pavia, Italy bw Università di Pavia, Pavia, Italy bx INFN Sezione di Perugia, Perugia, Italyby Università di Perugia, Perugia, Italy bz INFN Sezione di Pisa, Pisa, Italy ca Università di Pisa, Pisa, Italy cb Scuola Normale Superiore di Pisa, Pisa, Italy cc INFN Sezione diRoma, Roma, Italy cd Università di Roma La Sapienza, Roma, Italy ce INFN Sezione di Torino, Torino, Italy cf Università di Torino, Torino, Italy cg Università del PiemonteOrientale (Novara), Torino, Italy ch INFN Sezione di Trieste, Trieste, Italy ci Università di Trieste, Trieste, Italy cj Kangwon National University, Chunchon, South Koreack Kyungpook National University, Daegu, South Korea cl Chonnam National University, Institute for Universe and Elementary Particles, Kwangju, South Korea cm KoreaUniversity, Seoul, South Korea cn University of Seoul, Seoul, South Korea co Sungkyunkwan University, Suwon, South Korea cp Vilnius University, Vilnius, Lithuaniacq Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico cr Universidad Iberoamericana, Mexico City, Mexico cs Benemerita UniversidadAutonoma de Puebla, Puebla, Mexico ct Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico cu University of Auckland, Auckland, New Zealand
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1 PAPER, 1949 CITATIONS...
WHERE DO CITATIONS COME FROM?
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Arts & Humanities
Engineering & Technology
Life Sciences & Medicine
Natural Sciences
Social Sciences & Management
The average distribution of citations across faculty areas for QS mapped institutions in Scopus (2010-2014)
Methodological refinements for 2015 and beyond
REFINEMENT TIMELINE
Publish
Eureka!? Renewed partnership
with Elsevier helps
develop even stronger
understanding of and
access to Scopus data
02
Initial Model
Elsevier Renewal
Revised Model
Changes Adopted
The initial model
was developed in
August 2014 after
the initial idea to
use faculty areas
emerged
01
Revised model correcting
for language reality
modelled and proposed to
QS global advisory board.
Meets strong positive
support.
03
Following Advisory
Board engagement
new approach is
adopted and folded
into new rankings
analysis
04
Simultaneous publication
across channels and partners.
Press and social media
campaigns initiated
05
22
Key communication
milestones
23
London Business School
UC San Francisco
Nanyang Technological University
Johns Hopkins University
City University of Hong Kong
University of Western Australia
KAUST
BEFORE
24
AFTER
1% 6%51%17% 24% 15% 24% 11%26%23%LIFE SCIENCES &
MEDICINEARTS &
HUMANITIESSOCIAL SCIENCES &
MANAGEMENTENGINEERING & TECHNOLOGY
NATURAL SCIENCES
1 1 1
22
2
43
4 4
55
5
6 6
7 7 7
8 8 8
9 9 9
10 1010
11 11
12 12 12
13 13 13
1414
14
15 15
16 16 16
1717 17
18
1919
192025
34 COUNTRIES IN TOP 200
26
Un
ite
d S
tate
s
Un
ite
d K
ing
do
m
Ne
the
rla
nd
s
Ge
rma
ny
Au
stra
lia
Ca
na
da
Jap
an
Ch
ina
So
uth
Ko
rea
Sw
itze
rla
nd
Fra
nce
Ho
ng
Ko
ng
Sw
ed
en
Be
lgiu
m
De
nm
ark
Sp
ain
Ta
iwa
n
Au
stri
a
Bra
zil
Fin
lan
d
Ind
ia
Ire
lan
d
Isra
el
Ne
w Z
ea
lan
d
No
rwa
y
Sin
ga
po
re
Arg
en
tin
a
Ch
ile
Ita
ly
Ma
lay
sia
Me
xic
o
Ru
ssia
Sa
ud
i A
rab
ia
So
uth
Afr
ica
49 30 12 11 8 7 5 4 3 2 1
Average number of years younger for this year’s top 200
27
Countries featured in the top 200
28
14.5
Average movement in the top 200
29
7%
Increase in number of international students at top 100 universities
30
31
32
33
Essentially, all models are wrong,
but some are useful
George E.P. Box“Accidental Staistician”
1919-2013
CONTEXTS
DIGGING DEEPER
34
LEAGUE TABLES
SUBJECTS
ASPECTS TYPES
QS Global 200 Business Schools
CLASSIFICATIONS
No part of this presentation can be reproduced in any media without explicit permission
THE “OSCARS OF HIGHER EDUCATION”
International recognition for best practice in teaching – long overlooked by rankings
Separate focus on online, blended and classroom based learning
Regional and subject categories
International judging panel
Enterprise category
36
OVER 400 APPLICATIONS FROM OVER 50 COUNTRIES
37
10%
25%
4%
2%
25%
14%
14%
Africa
Australasia
Latin America
Asia
Eastern Europe & Central AsiaEuropeUS & Canada
4%
Middle East
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38
THE TECHNICAL BIT
𝑁𝑇𝐶𝐶 ≡𝑛
𝑛𝑓𝑎
𝑓=1
5
𝐶𝑓𝑤𝑓𝑎𝑓
𝑤𝑓 ≡𝑛𝑓𝑎
5𝑥𝑓
𝑎𝑎ℎ,𝑠𝑠 ≡𝑟𝑓−𝑟𝑓𝑚𝑖𝑛
1−𝑟𝑓𝑚𝑖𝑛
𝑟𝑎ℎ,𝑠𝑠 ≡ 𝑚𝑖𝑛𝑝𝑓
𝑝𝑓𝑚𝑎𝑥1
𝑎𝑒𝑡,𝑙𝑠,𝑛𝑠 ≡5− 𝑎𝑎ℎ+𝑎𝑠𝑠
3
39
𝑛 = total citation count prior to normalization𝑛𝑓𝑎 = sum of total citation count across the five faculty areas
𝐶𝑓 = count of citations for the given faculty area for the institution in question
𝑤𝑓 = weighting factor for the given faculty area
𝑎𝑓 = weighting adjustment for given faculty area
𝑥𝑓 = count of citations for the given faculty area𝑟𝑓 = ratio of a country’s papers in the faculty area to the most
productive country in the faculty area, in relative terms𝑟𝑓 𝑚𝑖𝑛 = the lowest value of 𝑟𝑓 across all countries
𝑓 = current faculty area, which can be one of:𝑎ℎ = Arts & Humanities
𝑒𝑡 = Engineering & Technology 𝑙𝑠 = Life Sciences & Medicine𝑛𝑠 = Natural Sciences 𝑠𝑠 = Social Sciences & Management
𝑝𝑓 = mean proportion of papers from the faculty area for the institution’s home country
𝑝𝑓 𝑚𝑎𝑥 = the maximum value of 𝑝𝑓 where the paper count in that faculty area for the given country exceeds the global average
THE TECHNICAL BIT - EXAMPLE
𝑁𝑇𝐶𝐶 ≡𝑛
𝑛𝑓𝑎
𝑓=1
5
𝐶𝑓𝑤𝑓𝑎𝑓
𝑁𝑇𝐶𝐶 ≡ 0.86
32,962+14,303+12,110+17,330+19,144
𝑁𝑇𝐶𝐶 ≡ 81,979
40
𝑛 = 44,900,880
𝑛𝑓𝑎 = 52,497,999
𝑎ℎ 𝑒𝑡 𝑙𝑠 𝑛𝑠 𝑠𝑠
𝐶𝑓 1,905 12,515 26,764 20,263 8,069
𝑥𝑓 581,786 9,959,717 25,156,050 13,309,271 3,491,175
𝑤𝑓 18.05 1.05 0.42 0.79 3.01
𝑟𝑓 96.0% 81.0%
𝑟𝑓 𝑚𝑖𝑛 3.0% 10.0%
𝑎𝑓 95.9% 108.4% 108.4% 108.4% 78.9%
𝑝𝑓 5.80% 20.25% 35.92% 20.57% 17.46%
𝑝𝑓 𝑚𝑎𝑥 6.04% 21.58%
𝐶𝑓𝑤𝑓𝑎𝑓 32,962 14,303 12,110 17,330 19,144