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Data Science Event

It was nice to talk to students who didn't really know much about Data Science and to discuss various career options and how to get into the area.

Description of event: This event has previously been run as a ‘pop-up’ but is now a mainstream event. The event will have a longer duration (1-5pm) as well as increased levels of marketing via online and print materials. All participants will get a free entry in the web programme (both Flip-book and linear listing) which remain live for a year, and a page in the printed programme, distributed to students as they arrive.

The event is an opportunity for data science practitioners using predictive analytics and machine learning to turn unstructured data into decision making tools, to meet and discuss their work and career opportunities in a networking style environment.

Open To: Organisations offering full time or internship roles in data science – from small start-ups to larger organisations across all sectors - who will send a data-science practitioner.

Cost: £430 + VAT

Stand: Up to two 'banner' stands (maximum width 80cm).

Representatives: Two representatives is the permitted maximum.

Extra Info: Wifi available. Light refreshments provided throughout the event.

Location of Venue: The West Cambridge site includes: Physics (Cavendish Lab; Microelectronics Research and Physics of Medicine Centres); Engineering (Electrical Engineering; Institute for Manufacturing; Whittle Laboratory; Chemical Engineering & Biotechnology Centre; Magnetic Resonance Research Centre, Geotechnical Research Group); Computer Science Laboratory; Materials Science and Metallurgy; Nanoscale Science, Veterinary Medicine plus Cambridge Enterprise & IdeaSpace. The Centre for Mathematical Sciences and Astronomy are also nearby.

Event Stats 2019: 26 organisations attended and met 111 postgraduates and 150 undergraduates. Of the 305 attendees 77% were male.

Postgraduates -  75 PhD and 14 MPhil: most represented departments 27 Physics, 21 Engineering and 17 Mathematics.

Undergraduates disciplines: 45 Natural Sciences, 40 Mathematics, 31 Engineering, 21 Computer Science (55% were finalists, 28% penultimates and 13% first years).