1. Data Delivers Tim Goodall and Helen Knowles

2. Damned figures! Workshop aims to “enhance credibility and collaborative experiences between the careers centre and academic departments” Using registration data to ascertain “ career readiness” + other national stats to use persuasively and create a relevant & responsive careers programme

3. Using national and careers centre stats DLHE Careers Registration stats Careers Centre visit stats Use at school meetings, away days (Result – faculty taking more notice of employability issues?) – Issues around validity of stats (see next slide) – Even if not valid, significant etc. these are the stats that students/parents see on Unistats and our website – How much are the parents/students looking at this data?

4. Employability Unistats Figures % of students in work/study and ‘professional/managerial’ employment, by degree programme (latest figures taken from our website, Unistats information). Students and parents – are they looking at this data? First evidence says yes (Hooley, Mellors- Bourne and Sutton, May 2013, HEFCE) Supposedly taken from the 2010-11 and 2011-12 DLHE (refers to students who graduated in July 2011, 6 months after graduation) but do not match our DLHE figures. Degree % of students in work/study 6 months after finishing % In a professional/ managerial job at six months 2011 grads2012 grads2011 grads2012 grads Applied Biology, Biology, Ecology 87% (n=85) 89% 35% (n=45) 45% Genetics75% (n=25) 89% 50% (n=120) 45% Zoology90% (n=30) 75% 45% (n=35) 45% Biochemistry90% (n= 25) 90% 70% (n=30) 50% Medical Biochemistry 93% (n=70) 90% 70% (n=30) 50% Biological Sciences 95% (n=25) 95% 75% (n=25) 50%

5. Careers Registration Statistics Faculty of Biological Sciences Oct 12 v Oct 13 All figures are percentages (n = between 600 and 700 per year) 1 st YearMiddle YearFinal Year 201220132012201320122013 I am not ready to start thinking about my career yet11.3113.9511.133.774.374.03 I have no ideas yet but want to start thinking20.5222.6618.6315.7813.9613.43 I have some ideas about my career and I am ready to start planning 37.0035.4629.4932.5430.3229.70 Decide68.8272.0959.2552.0948.6647.16 I have a career in mind and intend to gain relevant work experience 18.4217.9024.1329.0518.6219.10 I know what I want to do but not sure how to get there6.794.275.095.175.085.82 I want to spend a year gaining experience1.941.647.378.942.542.84 Plan27.1423.8136.6043.1626.2327.76 I am ready to apply for graduate level/professional opportunities 0.320.330.670.567.9010.45 I am ready to apply for further study0.812.131.072.2312.5510.60 I have been applying for opportunities and so far I have not been successful 0.320.330.400.140.850.60 Compete1.452.792.142.9321.3021.64 I have a job, further study or my own business plan confirmed 2.581.312.011.823.813.43

6. Publicising events and monitoring publicity Bit.ly – monitor use of Twitter, Facebook etc Bit.lyTwitterFacebook E-newsletter – most popular things were ‘Next Steps’ and STARS internship vacancy page. YGRF and general careers page not clicked. Show faculty (esp. contributors) the stats for what is popular with students – breaks down fixed ideas of what info students are seeking

8. Fast track to success 2 day event, around the YGRF Target mainly 3rd year students, a programme developed with the Careers Centre Some workshops Employer (or alumni) led Academics invited Designed in response to what students say they want, evidence from a student led survey and from a survey of event registrants.

9. The rationale to : Fast track to Success The 3 rd year students had, comparative to current level 1&2, least encouragement to access careers/employability help Stats student survey, DHLE & careers registration survey, anecdotal via student member of FEWG FBS wanted “compete” aspects to be delivered at least, “decide” workshops included

10. Other sources of data Focus groups Student surveys (student led!) Reports from surveys to e.g. Faculty EWG – e.g. comparing Leeds with competitor institutions. Result – new programmes of mock interviews, CV/cover letter assessment etc

11. Measuring success In time, will hopefully show positive indicators that the employability strategies you have applied are working in your faculty For example the registration data for Oct 2013 show, particularly for level 2, a reduced % in “decide” compared to Oct 2012.

12. Making sense of it all Discussion How can we use employability data in our faculties/services to develop ideas and inform our practice?