Masters Degree Apprenticeship Postgraduate: MSc Digital and Technology Solutions (Data Analytics) Digital and Technology Solutions Specialist (Data Analytics)


Enhance your skills and take your career in data to the next level with our Digital and Technology Solutions (Data Analytics) Degree Apprenticeship. Study for a masters degree while you work, with no tuition fees.

Course highlights

  • Delivered in partnership with Cambridge Spark, specialists in Artificial Intelligence and Data Science
  • Includes a hackathon-style bootcamp simulating the role of a data scientist in a real environment
  • Study while you work, with no tuition fees

Develop and apply specialist data science tools and techniques to process large, complex datasets in order to extract and derive valuable insights to inform decision making within your organisation. Ideal if you have a passion for data and want to enhance your skills and understanding and open up future career opportunities.

Key facts

An apprenticeship is a job with training, combining practical experience with academic learning.

At least 20% of your contracted working hours will be classed as 'off-the-job'. This time will be dedicated to developing the knowledge and skills needed to meet the requirements of the apprenticeship, and therefore is not part of your usual work duties.

The off-the-job learning is gained through university-led learning sessions and activities, and practical learning experiences in your usual work setting.

The off-the-job learning for our Digital and Technology Solutions Specialist (Data Analytics) Degree Apprenticeship is delivered online.

A key feature of this apprenticeship is a two-week online bootcamp in a hackathon format. It is designed to simulate a real-life Data Analyst’s environment, on the job with team collaboration and real-world datasets.

The course is taught in partnership with Cambridge Spark, a leading provider of continuous professional development training for developers and data scientists.


You will be assessed at the end of each module you undertake (on-programme assessments) which will contribute towards the final award of your qualification.

You will also undertake an End Point Assessment (EPA) to complete your apprenticeship when all on-programme assessments have been successfully passed.

The EPA for this apprenticeship is integrated into the final on-programme assessments. Therefore, on successful completion of your degree, you will also complete the apprenticeship.

An academic and industry partnership

Delivered in partnership with Cambridge Spark

This apprenticeship is co-designed and co-delivered with Cambridge Spark, specialists in Artificial Intelligence and Data Science. Cambridge Spark’s mission is to develop data science and AI skills to meet current and future business needs, from data literacy to advanced machine learning.


Accredited by TechSkills

Tech Industry Gold is the industry accreditation for digital and tech degrees and degree apprenticeships. Designed to meet standards that are defined by employers, Tech Industry Gold programmes integrate industry-relevant academic learning with the technical, business and interpersonal skills new recruits need to excel in digital careers.


Data has fast become one of the world’s most valuable resources, and the World Economic Forum estimates that by 2025 there will be 463 exabytes of data created globally every day.

Britain is facing “an explosive demand” for data science skills with data scientists and data engineers tripling over the past five years, rising 231% according to the report, “Dynamics of data science skills.” On average, salaries for these roles are £64,376, up 22% over the same period.

86% of data leaders report difficulty in hiring talent in the sector and half believe that skills shortages pose the greatest challenge to delivering value within their organisation.

Employers have highlighted the importance of data science and its potential to revolutionise many industries creating significant employment opportunities for data analysts, machine learning specialists and data specialists.

In this growing industry with countless new jobs arising, our Digital & Technology Solutions (Data Analytics) MSc is an ideal foundation to a rewarding career in this exciting field.

Entry requirements

In addition to the person specifications that have been set out by your employer, these are the entry requirements for the course.

  • Employment in a suitable role on a permanent contract exceeding 30 hours per week
  • • Employer support to undertake this course, with a confirmed, assigned Clinical Designated Facilitator
  • Confirmed eligibility to be funded as an apprentice as set out within the ESFA’s Funding Rules
  • A completed Initial Needs Assessment Form
  • Evidence of Level 2 qualifications in Maths and English e.g. GCSEs at Grade C/4 or above, Functional Skills, or ESFA-approved equivalents*
  • Level 3 Maths or Statistics e.g. A Level (or equivalent)**
  • First or second class honours degree in a scientific discipline**
  • Intermediate level knowledge of Python tested via pre qualifier quiz
  • If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 or equivalent English language qualification, as recognised by ARU.

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How to apply

To apply for an apprenticeship, you need to have the support of your employer. If you already have the support of your employer or have any questions before talking to them, please do not hesitate to contact one of our apprenticeship experts who will be happy to help.

For employers

If you have any questions or would like to discuss any aspect of degree apprenticeships, then our dedicated Degrees at Work team are here to help. Get in touch today on the details above or take a look at our information for employers.

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