‌‌‌‌‌Pathways Banner Term 1 2018/19

What is Pathways to Data Analytics

The demand for a high level of numeracy skills and knowledge of statistical methods is extending across occupations. As all sectors rapidly generate more data, a search for staff with the skills to analyse it and translate it into information that benefits organisations, is growing fast.

Pathways to Data Analytics offers the opportunity for undergraduate students across disciplines to approach to data analytics over five intensive training sessions. This pathway will introduce participants to essential statistical concepts and analytical tools needed to use Excel or Python as a data analytics instrument.

Successful students, selected from a range of disciplines and year groups, will undertake five three-hour sessions of experiential learning delivered by the Q-Step Centre in Exeter, followed by a one-week, full-funded internship with a local or national organisation.

The pathway to Data Analytics is supported by European Social Fund in partnership with Exeter Q-Step Centre as a mean to develop technical and job specific skills and bolster employability prospects.

Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

The interactive programme comprises of 3 key elements:

  • Training – five three-hour sessions of intensive technical and employability training; Wednesdays 14th Nov, 21st Nov, 28th Nov, 5th Dec and 12th Dec (9:00-12:00 for Python/Advance class, 13:00-16:00 for Excel/Beginners class).
  • Project - You will work in small groups to apply your learning to a real life business project during the training period.
  • Internship - You can be assigned to a local company where you will undertake a 1 week paid internship; Monday  17th Dec - Friday 21st Dec 2018.

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 ‌Remember: It all adds up! This Careers activity counts towards the Exeter Award.

  • Gain an insight into the different data analytics needs in the sector of your interest.
  • Explore your interest for further data analytics training under a Q-Step Proficiency in Applied Data Analysis degree.
  • Increase knowledge of sector specific activities
  • Learn in an interactive and experiential environment
  • Work with students from different year groups, subjects and levels of degree
  • Be inspired by experienced professionals
  • Gain confidence in your abilities
  • Develop your career plan
  • Apply newly acquired learning to a group project as part of the training
  • Culminates in an essential work experience, undertaking a paid internship with a local or national organisation
  • Receive a certificate and reference

You must be a current University of Exeter student when you apply for the programme. We welcome applications from all disciplines and levels of study, as long as you can demonstrate a keen interest in this subject area.

You must have the right to work in the UK and provide your visa status and explanation on your application form. If you are called to the selection assessment session you will be asked to bring evidence of your right to work status.

For the Exeter based programme please complete the Pathways to Data Analytics form

It is important to note that information you provide on your application form will be shared with potential internship hosts as part of the internship matching process, and subsequently the internship employers.

Every application form will be reviewed once the programme advert closes on 22nd October 2018. After application forms have been reviewed students will be shortlisted and then invited to an interview. You will be notified if you have been called to the interview or not by Thursday 25th October 2018.

The interviews will take place between Monday 29th October - Friday 2nd November 2018.

The application process is highly competitive and therefore only the best performing students will be selected for the briefing session and subsequently for inclusion on the programme.

Any students not successful in the application process will receive feedback for their performance, and will be signposted to resources and support available.

Training will take place every Wednesday (09:00-12:00 for the advanced/Python class and 13:00-16:00 for the beginners/Excel class) between 14th November-12th December.

These will be the only sessions delivered so in order for you to be successfully chosen for the programme you will need to be able to commit to attending. If you miss more than two sessions you will not be elegible to undertake an internship.

The successfully selected students will undertake 5 sessions of intensive training delivered by the Exeter Q-Step Centre, its partners and associates, sessions include (but not exclusively):

  1. Measures of central tendency
  2. Bivariate and correlation analysis
  3. Introduction to sampling
  4. Data Analysis in Excel or Python
  5. Mock business project to produce a data analysis report

Please note some of these sessions may be subject to change.

Throughout your training you will work in groups linking what you learn to a real life business project provided on your first day of training.

If selected, you will need to undertake a week long data analytics internship provided by one of the local organisations identified by the Q-Step Centre. These internships will take place after your training has been completed - Monday 17th December until Friday 21st December 2018.

This week long (35 hour) internship will be paid and is fully funded by the University of Exeter. 

If selected you will be invited to a pre-course briefing session prior to the training week, where the range of internship projects will be presented to you and you will be required to identify which projects you are most interested in.

A matching process will then be completed based on the associates involved in the project and your application form and identified preferences. No guarantee can be made that you will be matched to your preferred project but our aim is to match as many students to their preferred projects as possible.

If you would like to ask any questions, please contact the Q-Step Centre team:

C.S.Stoker@exeter.ac.uk or phone: Ciaran Stoker on 01392 722735