| DEA Course: | |
| Dates: Friday, June 12, 2026 – 10.00 to 17.30 (UK time) Saturday, June 13, 2026 – 10.00 to 17.30 (UK time) Presenters: Professor Emmanuel Thanassoulis & Professor Ali Emrouznejad |
Places are limited and will be allocated by order of receipt of registration fees.Deadline for DEA course:Deadline for registration: May 31, 2026. (Early registration fee before April 30, 2026) Online – MS TEAMS |
Aims:
| DEA Course: | |
| The aim of this course is to enable participants to understand the fundamentals of Data Envelopment Analysis (DEA) as a general purpose method for efficiency and productivity analysis in complex multi – output and multi- input contexts in the production of goods and services. The course will cover both the theory and the actual use of DEA. Sample real life and simulated contexts will be used. Apart from the classical DEA models under constant and variable returns to scale, the course will cover models for assessing productivity change over time, for incorporating value judgements in DEA, for target setting and for exploiting economies of scale etc.. (See the outline of course content below.) The course will use various areas of application drawn from the real life experience of the presenters and from the interests of the participants to illustrate approaches. The PIM DEA software (www.deasoftware.co.uk) will be used for hands on sessions by participants. In addition, Python, R, or GAMS will be demonstrated for running classical DEA models such as CCR and BCC. |
Presenters
Emmanuel Thanassoulis – Emeritus Professor in Management Sciences, (Aston University, Birmingham, UK).
Emmanuel is a world authority on the key method of Data Envelopment Analysis (DEA) and its use within the field of efficiency and productivity measurement. He has published numerous papers on DEA in top rated academic journals, has authored Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software (Springer), and co-authored ‘DEA – The Mathematical Programming Approach to Efficiency Analysis’, in The Measurement of Productive Efficiency and Productivity Growth (Oxford University Press). He has served on the Editorial Board of the European Journal of Operational Research, a top rated journal for learned publications in the field of efficiency and productivity analysis. He has developed DEA Software and has offered advice on efficiency measurement to a variety of organisations including the consultancy Partnership Oxera (www.Oxera.com), the UK Department for Education and Skills, the Department for Communities and Local Government, the Home Office, the Audit Commission, OFWAT (water regulator in England and Wales), Transco, Severn Trent Water, and to Transmission Service Operators Netze BW (Germany), Terranets (Germany) and GTS (Holland)..
Ali Emrouznejad – Professor of Business Analytics (University of Surrey, Guildford, UK)
Ali is a Professor of Business Analytics and Director of Centre for Business Analytics in Practice at Surrey Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Professor Emrouznejad is Editor of Annals of Operations Research, Associate Editor of Socio-Economic Planning Sciences, Associate Editor of IMA journal of Management Mathematics, Associate Editor of RAIRO Operations Research Journal, Senior Editor of the Data Envelopment Analysis journal, and member of editorial boards in several other scientific journals. He has published over 100 articles in top ranked journals, he has also published several DEA books including “Performance Measurement with Fuzzy DEA” (Springer) and “Managing Service Productivity” (Springer). Dr Emrouznejad has delivered training courses in UK< France, Hongkong, China, Peru, and many other countries. He has worked on several DEA projects around the world including assessment of Higher education in UK, assessment of health services in Kenya or South Africa, environmental assessment in China, etc…. He is also co-founder of Performance Improvement Management Software (PIM-DEA (www.deasoftware.co.uk) and founder of the DEA webpage, http://www.DEAzone.com.
Who should participate?
Those interested in learning the fundamentals of DEA/SFA as well as its more advanced features. The course will have sessions that start with the theoretical underpinnings of DEA/SFA and progress to more advanced concepts. Theoretical sessions will be interspersed with sessions which implement the theory on real or simulated data. Participants will be able to run the PIM DEA software (see below) in order to have hands-on experience in using DEA/SFA. In past runs of this course participants have included practitioners from a number of sectors including, regulation, banking, health services, education and other government services. Research and postgraduate students have also attended the course.
Free Access to DEA Software
PIM-DEA software:
As part of this course all participants will be given free 30 days licence with all features of the PIM-DEA, limited to 100 comparative units. The licence and installation instructions will be sent to you 2 days before the course starts.
Details about this software is available at http://www.deasoftware.co.uk/.
The SFA course utilises STATA for its hands-on sessions. Due to individual countries having their own STATA distributors, we unfortunately cannot provide access to the software. However, demonstration versions of STATA are available in the majority of countries. Please see https://www.stata.com/worldwide/ , in order to find your own local distributor.
Teaching Schedule
| DEA Course: | |
| Day 1: – Understand the basic principles of DEA. Classical DEA models including dealing with varying types of returns to scale. – An introduction to DEA software. Basic DEA models for measuring efficiency in multi-input multi-output situations. – Advanced DEA models including fixed variables such as environment, capital assets Hands on session using DEA software. – Assessment under variable returns to scale, scale efficiency, most productive scale size and target setting. Day 2: – Alternative approaches to measuring productivity change over time at company and at sector level; technical versus cost productivity change. – Further extensions of DEA including comparisons of groups of operating units, clustering of units and combining DEA and regression analysis in efficiency assessments. – Illustrative applications of DEA drawn from real life contexts, including from delegates’ work experience. – Hands on session using advanced features of PIM-DEA software. |
Fees / Payment / Registration
Payment is required in full upon registration. This can be made by major credit / debit cards.
By registering you accept that you have read and agree to the “Short Course Terms and Conditions”. [Pease note that this course will run only if there is enough registration; otherwise, it will be postponed to a new date. If you are unable to participate on the new date, you may request a refund.]
This course runs online (using MS TEAM Software) and so you should have internet connection. If there is any issue with the payment system please contact Prof Emmanuel Thanassoulis.
| Students | Non-students | |
|---|---|---|
| Early registration fee – DEA Course (Pay before April 30, 2026) | £ 695 | £ 995 Click to PAY |
| DEA Course only (Pay from May 1, 2026) | £ 795 | £ 1,195 Click to PAY |
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Contact US
Email: course@dataenvelopment.com