Higher and Degree Apprenticeships / Available Apprenticeships / Data Analytics

What you will study

Modules are delivered in intensive one-week blocks, with potential pre- and post-work activities, and ongoing academic support (virtual learning, discussion boards, instructors, and access to the Centre for Learning and Study Support (CLaSS). 

  • Foundation of Python Programming
  • Data Analytics and Statistics 1
  • Work Based Learning 1
  • Information Systems Analysis
  • Data Analytics and Statistics 2
  • Computer Ethics
  • Programming in Python 2
  • Database Design
  • Endpoint Assessment

Assessment

Some modules use a combination of a time-constrained phase tests (which may be carried out online in some cases) and other coursework assessment. Other module assessment methods include reports, posters and presentations.

Entry Requirements

The programme is designed with professionals in mind, and this is reflected in the entry requirements. All applicants need to be employed by an organisation that has confirmed it will support their participation in the programme.

The entry requirements for the apprenticeship are:

  • 104 UCAS points from at least two A-levels or equivalent
  • GCSE Mathematics and English at grade C/4 or level 2 Mathematics and English equivalent
  • Pass at equivalent BTEC courses (BTECs can be taken alongside, or in place of, GCSEs and A levels)

Formal qualifications are preferred, but relevant experience can be considered. Onboarding may involve recognising prior learning (RPL) from work/life experiences. Skills assessments and interviews will determine suitability. Basic English and maths (Level 2) are required and achievable within 12 months if not already attained.

Ready to find out how this programme can benefit you?

Take your next steps

Programme Leader

Dr. Adebowale Owoseni

Dr. Adebowale Owoseni, MBA, MBCS, SFHEA, is a Senior Lecturer in Information Systems and the Programme Lead for the Data Analyst & Data Scientist Apprenticeship Programmes. Before transitioning to academia in 2019, he enjoyed a distinguished 13-year career in financial services, where he led digital transformation projects. His expertise spans digital transformation, digital innovation, fintech, and data analytics. Dr. Owoseni's work bridges theory and practice, contributing to teaching, research, and industry collaborations. He is also experienced in curriculum design, overseeing apprenticeship programmes, and providing consultancy, with a focus on fostering digital skills and professional development for SMEs.

Take your next steps

If you are an employer

Offering apprenticeships is a great way to attract and retain employees, helping develop their skills and knowledge. If you’re interested in taking on a new apprentice or upskilling existing staff members, contact us to find out more.

If you are an aspiring apprentice

Considering a degree apprenticeship but already employed? Our degree apprenticeships are employer-led, meaning your company invests in your development. Discuss this exciting opportunity with your employer and once you’ve got the go-ahead, contact us to find out more.

If you’d like us to contact your employer on your behalf, just reach out with your employer’s details and permission to contact and we’ll take it from there.

We'll provide clear guidance to both you and your employer, walking you through the application process and everything that comes after.

If you’re not employed you can also find degree apprenticeship vacancies on the National Apprenticeship Service website – it has more apprenticeship vacancies than any other site.

Key facts

Course title

Data Analytics

Award

Level 4

Entry requirements

104 UCAS points from at least 2 A-Levels or equivalent, GCSE Maths and English at Grade C/4 or equivalent, Pass at equivalent BTEC courses

Fees

Maximum funding: Band 27 (£24,000)