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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 students across all 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 27th Feb, 6th March, 13th March, 20th March and 27th March (13:00-15:30 for Essentials/Beginners class) and Thursdays 28th Feb, 7th March, 14th March, 21st March and 28th March (09:00-12:00 for Python/Advance 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 1st April - Friday 5th April 2019.

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


Testimonials from previous students:

"I found it a useful way of getting to grips with python, and starting to explore its uses in data analytics" Anonymous

"Very interesting and practical course really helpful for employment. An excellent insight to data analysis and would highly recommend this course to anyone who would like a taster of python - it is not as scary as it seems." 3rd Year Geography Student

"I really enjoyed the course, coding/ python is never something I ever thought I would be able to do!" 3rd Year Medical Sciences Student

"Gained alot of knowledge in a short period of time - taught extensively and efficiently. Greatly appreciated the opportunity." Amy Heather, 2nd Year Medical Sciences Student

"I really enjoyed the final group project. I enjoyed the opportunity to explore and analyse a new data set and utilise all the skills learnt over the duration of the course. It also helped develop key skills such as teamwork and presentation skills." 3rd Year Maths Student


 If you are an employer please visit the employer facing Pathways to Data Analytics webpage.


  • 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.

We particularly welcome applications from groups currently underrepresented in the workforce.

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.

Please note, due to limitations of funding, we can only offer bursary support to students with a Devon term-time address.

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 Friday 8th February 2019. After application forms have been reviewed students will be shortlisted and then invited to a briefing session. You will be notified if you have been called to the briefing session or not by Monday 11th February 2019.

The briefing session will take place between Thursday 14th February - Friday 15th February 2019.

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 13:00-15:30 for the Essentials class and Thursday 09:00-12:00 for the Python class between weeks commencing 25th February-25th March 2019.

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.

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 1st April until Friday 5th April 2019.

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

If you successfully complete the training, a 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.

Previous placements have included:

  • Devon County Council
  • Exeter City Futures
  • Exeter College
  • University of Exeter Wellbeing Services
  • A variety of local SMEs from across numerous sectors.

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