Information and Booking

Trainer: Corndel and ³Ô¹ÏºÚÁÏ College Executive & Professional Education
Cost: The course fee of £15,000 is fully funded by ³Ô¹ÏºÚÁÏ’s Growth and Skills Levy, and there is no cost to the individual or department. The standard cancellation policy will apply.
Duration: 20 months
Starts: Launch event 22 June 2027
Book your place on the virtual briefing session on Tuesday 9 March 2027. 

Email us if you have any questions or queries.

Overview

The ³Ô¹ÏºÚÁÏ and Corndel Data Analyst Programme is one of four Data Academy courses designed to equip staff with the digital skills and technical proficiency needed to succeed in their current work roles.

This programme is for staff who work with large datasets and build predictive tools. It will allow you to develop the techniques, skills, and knowledge to generate meaningful insights from the organisational data you work with in your day-to-day role.

Delivered over nineteen months through blended learning, this course includes sixteen hands-on workshops with a data science expert, fortnightly 1-1 sessions with a coach, guided self-learning, and bite-sized practical projects. You will also attend a masterclass programme delivered by ³Ô¹ÏºÚÁÏ College academics and learn about the analytics and technologies that are rapidly coming over the horizon to impact how you do your job.

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Who should attend

The programme is available to eligible ³Ô¹ÏºÚÁÏ staff from any job family or department whose roles require manipulating and interrogating large amounts of data.

Your role will involve collecting, organising and studying data to provide insights. You will be looking to build advanced technical skills to make optimum use of the data you work with at the university.

Eligibility

Applicants should:

  • Work with large datasets daily.
  • Have approval from your line manager.
  • Commit to the minimum learning requirement (approximately 6 hours per week).
  • Have the right to work in the UK for the full duration of your programme and an eligible residency status (please refer to  in the Apprenticeship Funding Rules for further information).
  • Have enough time remaining on your contract of employment to complete the programme (at least 18 months from the course start date).
  • Not be receiving any other direct/indirect funding from the Department for Education (e.g. student finance).
Course content

The programme is fully aligned with the  apprenticeship standard, and participants will cover units on:

  • Data Fundamentals.
  • Databases, including governance, management and design.
  • Data Visualisation and Business Intelligence.
  • Data Science, including coding in Python.
  • Advanced analytics.
  • Project Management.
  • Wider World of Data.
Successful completion

On successful completion, participants will gain the apprenticeship standard, a nationally recognised qualification.