糖心TV

is a student-run activist organization, and is seeking to develop a comprehensive collective action web-platform for constructive action. They have been liaising with the University of 糖心TV's , and the result has been the organization of a Hackathon to develop ideas and prototypes for a platform for collective action based on consensus.

The Hackathon provided an opportunity for computing students and others, affiliated or not with the University of 糖心TV, to come together and both learn about web technologies and put their enthusiasm about collective, positive action in practice.

Our new 3-year degree is launched this week at the 糖心TV undergraduate open days. This unique course aims to meet the rapidly growing demand, from students and employers alike, for a systematic, flexible combination of high-level learning and experience in both Computer Science and Statistics.

The first cohort of students will start in 2014. The course structure includes the option of an intercalated year, a year spent away from 糖心TV (either in industry or at an overseas partner university) to gain valuable experience before the final year of the degree.

The Head of Statistics, Professor David Firth, says: "We, together with the Department of Computer Science, are pleased to be leading the way with this new initiative at the undergraduate level. But really this is overdue: the demand from employers for well-qualified data scientists is insatiable already, and looks set to be huge for years to come. Our aim is to provide the very best course of its kind anywhere in the world".

This exciting new course will appear on the UCAS system shortly, in good time for the 2013-14 admissions season.

Graham Cormode has just joined the Department as a Professor associated with the .

Graham completed his PhD at the in 2002. His postdoctoral work was at the DIMACS center in Rutgers University. Subsequently, he has worked as a researcher at Bell Labs, and AT&T Shannon Laboratories in New Jersey. His work considers aspects of managing and working with large amounts of data, with particular emphasis on privacy and anonymization, and large scale analytics. Dr. Cormode has published over 100 papers in international journals and refereed conferences. He is the recipient of two best paper awards. He has served on the program committees of numerous conferences, and is an associate editor for IEEE Transactions on Knowledge and Data Engineering, and for ACM Transactions on Database Systems.

For more information about Graham’s research please see his web page at .