I think the piece this prof wrote targets classical PhD programs and does not take into account industry-sponsored PhD programs like the one you mention.
And also the email we've been sent directly by the university:
We’re delighted to announce that we have been awarded an EPSRC Centre for Doctoral Training in Cloud Computing for Big Data. This new multi-million pound initiative will train the next generation of experts in the analysis of "big data" using the latest cloud computing technologies and statistical techniques. People with these skills are in such demand that the Centre is being heavily backed by industry worldwide (including Microsoft, Red Hat and IBM); companies will work with us on the training, and provide placements during the PhD.
Some additional details are included in the University Press Release: http://t.co/5HvBUhhZ1t
We have eleven fully funded, four year PhD studentships available for home (including EU) students to start in October 2014. These fully cover both the fees, and living expenses (no loans or debts are needed).
We are recruiting students from both Computing Science and Mathematics/Statistics backgrounds and providing an intensive course of interdisciplinary training during Year 1 of the four year PhD programme. Students from a CS background will be trained in advanced cloud computing and statistical skills during year 1, beginning with a crash course in "Statistics for Computer Scientists" in October. Students will then work on a PhD research project.
As well as working with closely with industry, the course will also teach and support students interested in setting up their own company.
We can provide full funding (fees plus living expenses) for students expected to gain a II(i) or First who meet the usual Home fee status regulations (contact us if you are not sure).
If you would like to register an interest in this programme, or ask any questions, please send an email to bigdata-cdt-enquiries@ncl.ac.uk containing your full name, stage, degree programme, fee status and predicted degree classification. In the case of a predicted degree classification of II(i), please also include a predicted final average. Students registering an interest will be sent further details about the programme, including information on how to apply, as soon as applications formally opens.