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CSC-30055 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

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

CSC-30055 - Preparing for the Data Science End Point Assessment
Coordinator: Shailesh Naire Room: MAC2.19 Tel: +44 1782 7 33268
Lecture Time: See Timetable...
Level: Level 6
Credits: 0
Study Hours: 241
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

This 0 credit module will help apprentices prepare the required components needed to enter the End Point Assessment gateway. In addition apprentices will also have the opportunity to review learning and skills required to successfully complete the post-gateway tasks. A combination of taught sessions, activities and individual discussions will provide the support the apprentice needs in order to succeed.

Aims
The module is designed to support the apprentices as they prepare for the Data Scientist End Point Assessment module. It enables the apprentices to apply learning, matched to the relevant knowledge, skills and behaviors outlined in the Level 6 Data Science Apprenticeship standard, to work-based projects. Additionally, the apprentices will have the opportunity to prepare for post-gateway requirements.

Intended Learning Outcomes

Demonstrate the knowledge, skills and behaviors of a professional data scientist in a real-work environment to achieve real-work objectives: 1,4
Demonstrate the skills and behaviours required to plan and execute a work-based data science project, including an evaluation of processes followed with recommendations for future activities: 2
Pass a multiple choice knowledge test to demonstrate understanding of the full data science life cycle and the technologies that gather, store, process, analyze, model, visualise and evaluate data: 3

Study hours

10 hours scheduled lectures
24 hours structured writing sessions
4 hours of tutorial to review progress
2 x 90 minute mock knowledge tests
200 hours work-based project, portfolio and report preparation. and revision for knowledge test

School Rules

None

Description of Module Assessment

1: Portfolio weighted 25%
e-portfolio of work based projects
Develop an e-portfolio, mapped to the apprenticeship standard of 6 to 8 work-based data science projects. A template will be provided for the structure of the e-portfolio and will follow the requirements stipulated in the End-Point Assessment Plan (EPA) of the Data Scientist Apprenticeship Standard. The EPA Plan does not specify a word count but the template will provide guidelines with suggested word count.

2: Report weighted 25%
Report based on a full data science project
A complete draft of a 7500 (+/-10%) report based on a data science work-based project. A template will be provided for the structure of the report and will follow the requirements stipulated in the End-Point Assessment Plan (EPA) of the Data Scientist Apprenticeship Standard which states the above word count to be used.

3: Class Test weighted 25%
Mock Knowledge Test
Achieve a minimum 60% pass in a 30 question multiple choice class test based on knowledge components of the Data Scientists apprenticeship standard. The pass threshold is determined by the requirements of the Knowledge Test stipulated in the End-Point Assessment Plan (EPA) of the Data Scientist Apprenticeship Standard.

4: Viva weighted 25%
Mock Professional Discussion
A discussion based on the e-portfolio to demonstrate the competency in data science skills and behaviors outlined in the apprenticeship standard. The requirements for the professional discussion are stipulated in the End-Point Assessment Plan (EPA) of the Data Scientist Apprenticeship Standard.

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