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CSC-30049 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2024/25 Last Updated: 23 November 2024

CSC-30049 - Data Scientist End Point Assessment
Coordinator: Shailesh Naire Room: MAC2.19 Tel: +44 1782 7 33268
Lecture Time: See Timetable...
Level: Level 6
Credits: 60
Study Hours: 600
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

CSC-30055

Barred Combinations

None

Description for 2024/25

The End-Point Assessment (EPA) has been designed to enable the apprenticeship to be completed in accordance with the Data Scientist Degree Apprenticeship Standard designed by employers. The Data Scientist Degree Apprenticeship leads to a Bachelor Degree (Level 6) in Data Science that is contextualised for occupational competency. It has been designed by employers to provide opportunities for as wide a range of employers and individuals as possible. The achievement of the EPA ensures that the apprenticeship standard has been met. Successful completion of the EPA will consist of 60 credits and signify the completion of the apprenticeship as well as the full Degree.

Aims
The End-Point Assessment (EPA) has been designed to enable the apprenticeship to be completed in accordance with the Data Scientist Degree Apprenticeship Standard designed by employers. Successful completion of the EPA consists of 60 credits and signifies the completion of the apprenticeship as well as the full Degree. The EPA must be completed over a maximum total assessment time of 6 months after the apprentice has met the EPA gateway requirements. It will consist of 3 sections: A Knowledge Test, Report (on a work-based project) and Professional Discussion (based on a portfolio) in accordance with the apprenticeship standard. Each component of assessment is designed to demonstrate the specific Knowledge, Skills and Behaviour outcomes required for the Data Scientist Degree Apprenticeship standard.

Intended Learning Outcomes

explain aspects of the Knowledge outlined in the Data Science Degree Apprenticeship Standard: 1
design and prepare a work-based project and evaluate the Skills and Behaviours they have developed, as outlined in the Data Science Degree Apprenticeship Standard: 2
develop an e-portfolio of multiple work-based projects mapped to the Knowledge, Skills and Behaviours as outlined in the Data Science Degree Apprenticeship Standard: 3

Study hours

150 hours for active learning which includes supervisory meetings and EPA guidance lectures.
200 hours of independent study, including revision for the knowledge test and preparing for the professional discussions.
250 hours of placement learning, which includes portfolio preparation and work-based project report.

School Rules

None

Description of Module Assessment

1: Class Test weighted 25%
Knowledge Test
30 question multiple choice test, lasting maximum of 1 hour to complete without reference books or materials. This test will assess the Knowledge component as outlined in the Data Science Level 6 Apprenticeship. This test must be passed before progressing to the second and third assessments for the EPA.

2: Project weighted 50%
Report based on a work-based data science project
A report on a work-based project which the apprentice should complete prior to the EPA Gateway. The apprentice has the flexibility to select a suitable work-based project in discussion with their line manager in the workplace and academic staff. Therefore, a project can be selected that meets the apprentices¿ interests and that is relevant to their workplace. The project and report must demonstrate the Skills and Behavioural (SB) outcomes as identified for the report as outlined in the Standard. The apprentice should show evidence of the planning and execution of the work-based project, including an evaluation of the processes followed, measurement of the SB, a summary of learning derived from the execution of the work-based project and recommendations for future activities. The report will be 7500 (+/-10%) and submitted within 6 weeks of the EPA start date. The overall structure should include: Executive Summary, Introduction, Background, Work Undertaken, Outputs, Further work, Conclusions and also References, annex and appendices.

3: Portfolio weighted 25%
Portfolio based on 6-8 work-based projects that informs the Professional Discussion
The portfolio presents evidence from 6-8 real-work projects from across the 3 years of the degree (excluding the project from which the assessed Project Report is produced). The portfolio enables the apprentice to demonstrate how they have applied their knowledge, skills and behaviours in a real-work environment to achieve real-work objectives. The portfolio is used to guide the Professional Discussion which assesses the portfolio and apprentice competencies.

The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 23 November 2024