‌‌Pathways Banner Term 2

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 students across all disciplines to approach 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 sessions of experiential learning delivered by the Q-Step Centre in Exeter, followed by a one-week, full-funded internship with a local 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.





Testimonials from previous employers:

"This programme allows businesses to attract intelligent, hard working interns that can be used to complete key research tasks within your department" Nathan Sutton, Trading Standards

“Our undergraduate intern (Ruby) is fantastically bright and capable. She has been a pleasure to work with and no task is too big or small. We are planning a variety of sector specific events for social enterprises in the south west region, and Ruby has produced databases for these sectors, extracting useful information using filters and pivot charts so we can create a nicely targeted marketing campaign. Data analysis is incredibly important these days and these graduates have the skills to produce a range of statistical information very quickly. I would highly recommend the programme.” Susanna Jones, Devon County Council

"Applegate’s participation in the Pathways to Data Analytics programme was a great success; we hosted a bright student who even in the short timeframe available was able to grasp complicated ideas and contribute usefully to our process." Chris McCormack, Applegate

"Thanks for organising this placement. I found it incredibly useful to have some support with data tasks.  Lydia worked efficiently and with precision to complete the data tasks I set. She suggested different ways to synthesise and present the data and was happy to explore these options and explain why they were appropriate. She was enthusiastic and genuinely interested in the tasks and the relevance behind the data she was working with. I would be very keen to work with another Pathways to Data Analytics placement in the future, I found the support extremely useful. I would highly recommend!" Student Recruitment Team, University of Exeter

"The student who applied was perfect. She did such a great job so the output and being able to work with her was the best thing about this project.  I was also very impressed with how well you supported us as placement providers. You were extremely helpful, efficient and proactive which made the whole experience so much easier." Leanne Fennel, Articulacy

"The mini-project work completed by our intern has been really valuable.  It has enabled us to gather insightful objective information that we would not otherwise have the time capacity to compile.  The information was also presented in a well thought out report and presentation, which was great to be able to cascade within our organisation." Faye Martin, Trading Standards




The training sessions will include: 

  • Measures of central tendency
  • Bivariate and correlation analysis
  • Introduction to sampling
  • Data Analysis in Excel/Python
  • Mock business project to produce a data analysis report

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

We are seeking reputable employers based in Devon, Cornwall or London, who can offer a challenging project for a student to undertake either in the workplace or working remotely. 

As the University will fully-fund the student's internship wages, we will employ and pay them through our payroll, but the student will be seconded to your organisation. Therefore all parties will need to sign the completed Student Secondment Agreement, and you will need to have suitable liability insurance.

If you would like to offer an internship please complete the Employer Vacancy FormThe Employer Vacancy Application deadline is Friday 29th March 2019. We will review all applications as and when we recieve them, and a member of our team will let you know if your vacancy has been accepted.

Please note that by submitting an employer vacancy form you are declaring that you wish to employ an intern rather than a declaration of interest or a request for further information about the scheme.

All students will go through a rigorous recruitment and selection process conducted by the University, to ensure we select the best candidates.

Students will be presented with all the internships opportunities on offer and asked to set their preferences. We will make the final decision who be matched to your opportunity and as such, your organisation will not need to undertake any recruitment or selection process of our students.

Once we have identified the most suitable applicants for you we will send you their details by no later than Friday 29th March 2019. We very much hope that you will be satisfied with our selection, however if for any reason this is not the case, you will have the opportunity to withdraw from the scheme or ask for additional applicants. Unfortunately at this stage of the recruitment process, we cannot guarantee we will be able to find a replacement intern. 

Where possible, we will allow you to make a decision on the successful student when more than one applicant has been shortlisted.


At the beginning of the internship, we ask that you work through a basic induction with your new intern. You have the option to use some or all of this Internship Induction Checklist.

We ask employers to set clear objectives for the intern and available to provide information and guidance throughout the week. 

The Pathways to Data Analytics team will be available the whole internship week to support you and your intern should this be required. 

At the end of the internship week we ask that you please provide feedback on the experience.

All parties (the employer, the University and the intern), must adhere to the Student Secondment Agreement

 If you would like to ask any questions, please contact the Q-Step Centre team by emailing C.S.Stoker@exeter.ac.uk or phone: 01392 722735