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 programmer comprises of 3 key elements:

  • Training – five three-hour sessions of intensive technical and employability training; 

Python sessions- Term 2 Wednesdays 13:30-16:30 commencing 19/02/2020 until 18/03/2020 except for w/c 24th Feb the session will be on Friday 28th Feb 13:30 to 16:30 and also w/c 16th March the session will be on Friday 20th March 12:30 to 15:30

Essentials sessions- Term 2 Tuesdays 09:30-11.30 commencing 18/02/2020 until 17/03/2020

 Term 3 Python sessions will take place from 15-18 June 2020. Times TBC, however please note the 5 sessions will take place over the one week and there will only be Python sessions. 

If you submit your application for the Pathways to Data Analytics between 13 Jan to 03 Feb you will be applying to complete the programme in Term 2. If you submit your application between 27 Apr to 25 May you will be apply to complete the programme in Term 3. Applications will only be live between those dates. 

  • Group 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 bursary-funded internship;          Term 2- 30 Mar-3 Apr 2020 and Term 3- 22-26 June 2020.

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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 a lot 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

"The delivery was very good as we were taught a lot of information that was quite accessible and I genuinely learned a lot about Excel Data Analytics over the past week!" Dinith David, 2nd Year International Relations Student

"It was the right mix of theoretical and practical with plenty of opportunities to test out the skills... The course was very well taught and the variety of skills set within the group was accounted for in a way that everyone was included and capable of following along and doing the exercises." Anonymous

 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 for the duration of the professional pathways i.e. it covers both the training and the internship week. If you are called to the selection assessment centre 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.

Applications are now open for Pathways to Data Analytics Term 2- click here to apply 

The briefing session for both the Essentials and Python courses will take place on:

Tuesday 11th February 10:30 to 11:30

Please note this session is just for students that have been accepted for this term's Pathways to Data Analytics programme. 

Training will take place Wednesday at 13:30-16:30 on 19th Feb, 4th March and 11th March, Friday 13:30-16:30 28th Feb and Friday 20th March 12:30-15:30 for the Python class and every Tuesday at 9:30-11:30 from 18/02/2020 until 17/03/2020 for the Essentials class.

Term three Pathways to Data Analytics will be a intensive week long programme running from 15-18 June 2020. Times are yet to be confirmed. 

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 eligible 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 can 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 - Term two- 30th March to 3rd April 2020 and Term three- 22nd to 26th June 2020.

This week long (35 hour) internship will be voluntary although the University of Exeter is able to cover all reasonable expenses.

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. You must attend all training sessions to be eligible for a placement.

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:

qstep@exeter.ac.uk or phone on 01392 727650