Taught course (will run subject to approval)

Digital and Technology Solutions (Data Analytics) - Degree Apprenticeship

Nottingham Trent University · School of Science and Technology

Entry requirements

A 2.2 honours degree or above in a related subject.

Months of entry


Course content

The MSc Digital and Technology Solutions (Data Analytics) is a part-time Masters level degree apprenticeship that provides a new route for employers to develop talented individuals. It will provide apprentices with a way to both earn in their chosen area of employment, and study to obtain a MSc degree.

Zero tuition fees and no student debt
The blend of technical and management skills will lead to benefits for the employer and its employees. With apprenticeships being sponsored by their employer, employees pay zero tuition fees and acquire no student debt. All this whilst gaining invaluable industry experience, and earning a full time wage!

New to data analytics?
For those business professionals or students who are relatively new to data analytics, the modules you study at NTU will broaden and deepen your technical understanding. Our progressive integration of business, computer science and applied mathematics modules make it a suitable and challenging option for a diverse mix of individuals.

Experienced data analysts?
Those who may be experienced in data analytics and are now looking to progress, will gain a wider perspective on the industry whilst honing the management and leadership skills necessary to realise the benefits of big data innovation.

Information for international students

Unfortunately this course is only open to UK and EU nationals.

Fees and funding

Visit the fees page or contact apprenticeships@ntu.ac.uk to find out more information.

Qualification and course duration


distance learning
24 months
24 months
24 months
part time
24 months

Further details of qualification

Year One Data Analytics: Big Data and Its Infrastructure, Statistical Approaches to Data Analysis. Business Modules: Delivering Value Creation, Effective Change Management. Final Year Data Analytics: Practical Machine Learning Methods for Data Mining. Project: Project Conceptualisation and Planning, Work-based Project.

Course contact details

David Walker
+44 (0)115 8484551