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.
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.
Data science, in particular coupled with artificial intelligence, promises to provide the tools for enhanced technologies, business models and decision making across a large number of fields, from industrial automation, manufacturing, transport, banking and cyber security to health and social care.
Through working on real-world datasets and industry-simulated projects, you will learn the skills and knowledge required to apply the latest advanced data science tools and techniques such as data engineering and deep learning.
The MSc Digital and Technology Solutions (Data Analytics) will be delivered in partnership with Cambridge Spark, a leading provider of continuous professional development training for developers and data scientists. This cutting-edge course is taught as a blend of immersive teaching weeks, online study and a hackathon-style bootcamp which simulate real-world environments.
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 with teaching weeks in Cambridge.
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.
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.
"I am thoroughly enjoying the opportunity to learn through my apprenticeship. I am now able to advance alternative solutions to work problems that I would have struggled with before the apprenticeship."
Digital and Technology Solutions Specialist Degree Apprentice
“The apprenticeship has given me the opportunity to solve real life problems and access to amazing staff and resources. It utilizes both practical and theoretical parts of the job. Best of both worlds!”
Digital and Technology Solutions Degree Apprentice
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.
In addition to the person specifications that have been set out by your employer, these are the entry requirements for the course.
*If you do not have the appropriate Level 2 Maths and English, you must ensure you complete these prior to the start of the course. For further details about which qualifications meet Level 2 requirements check the gov.uk website.
**We will also consider applicants with non-standard qualifications provided you have a significant amount of relevant experience, are well-supported by your employer, and demonstrate the ability to manage university-level study. This is with the exception of ESFA approved Level 2 Maths and English qualifications which are mandatory.
ARU’s standard procedures for admission with credit will apply if you wish to be considered for Accredited Prior Learning (APL) and/or Accredited Prior Experiential Learning (APEL) for entry into Year 2 or later of the course.
Due to national restrictions all universities in England, including ARU, are only able to provide face to face teaching on campus for a limited number of courses. Visit our restrictions page for details.
In response to the COVID-19 global pandemic the majority of our apprenticeship courses are being delivered online only using our established online learning systems. The provision offered is subject to change due to the possibility of further Government restrictions, however the University remains committed to delivering teaching and ensuring a COVID-19 secure environment for those that are on campus.
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.
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.
To be eligible to apply for one of our degree apprenticeships, you'll first need to be in a full-time position with one of our partner employers. Follow the links below to view our current vacancies and sign up to receive email alerts when new vacancies become available.