Project - 2024 entry

In this module you are required to undertake a work-based project which will enable you to demonstrate the knowledge, skills and behaviours required by the apprenticeship standard. The project will be undertaken following discussions with academic staff and your workplace mentor to agree on a project that is relevant, achievable and meets the requirements of the standard. The employer should make allowances, in terms of work allocation, to allow the apprentice to do a suitable project, which should ideally form part of the normal work of the apprentice. The apprentice should allow that some aspects of the project, especially writing the report, may need to take place outside of normal working hours. Issues of confidentiality should normally be covered by existing agreements between the university and the employer, any issues should be raised by the employer at the earliest possible point, so that a project of real business value can be undertaken and discussed in the End Point Assessment

Pre-requisite modules: This module will be taken after completion of all other modules in the programme.

Co-requisite modules: None.

This module is a part of MSc Digital and Technology Solutions (Integrated Degree Apprenticeship) programme. It cannot be taken as an elective by students on other programmes.

The apprenticeship standard and other documentation relating to the Level 7 Digital and Technology Solutions (Data Analyst Specialist) Apprenticeship can be found here: https://www.instituteforapprenticeships.org/apprenticeship-standards/digital-and-technology-solutions-specialist-integrated-degree/

This module aims to allow you to apply the knowledge, skills and behaviour gained in other modules in a significant project while carrying out work of real business value to your organisation. The nature of this project should be closely tied to your chosen specialism. The key knowledge, skills and behaviours to be demonstrated in the project will be communicated clearly, so they can be appropriately evidenced in the project report.

Currently, only the Data Analytics Specialism is supported.

The Data Analytics Specialist should understand all aspects of the data analysis process. This includes investigating business requirements, data selection, curation, quality assurance and data engineering. The Data Analytics Specialist should be able to guide the business in data organisation as well as database and data structure design. They should be able to produce new, useful data sets as well as to perform investigations using statistical and machine learning techniques. They should be able to present their results clearly and rigorously to various audiences, technical and non-technical, including senior stakeholders and be able to emphasise the business potential of their data set or analysis.

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge

Discipline Specific Skills and Knowledge

Personal and Key Transferable / Employment Skills and Knowledge

Whilst the module’s precise content may vary from year to year, an example of an overall structure is as follow:

• Introduction to the module.
• Identification of suitable projects from within the student’s organisation or based on previous taught content for the End Point Assessment Organisation.
• Creation of a project plan and specification with your supervisor team.
• Implementation of the project
• Presentation of progress updates to student and supervisor cohort.
• Meetings with academic supervisor (face-to-face and/or online).
• Final submission: a report and final presentation. This will lead directly to the End Point Assessment.

Deferral – If an assessment is missed for a certified reason, accepted by the Mitigation Committee, the assessment will usually be deferred, with no penalty on the final mark.

Referral – If an assessment is failed you may be offered a referral, which is a repeat assessment with the mark capped at the pass mark.

Reading list for this module: