CS3701
Data Science Industry Placement 1
2024-2025
60
30
SCQF level 9
2
Academic year(s): 2024-2025
SCOTCAT credits : 60
ECTS credits : 30
Level : SCQF level 9
Semester: 2
Availability restrictions: Available only to students on BSc Data Science Graduate Apprenticeship.
Planned timetable:
This module provides the first extended period of work-based learning on the Data Science Graduate Apprenticeship programme. Apprentices spend four months on the employer's premises, and are expected to travel to clients or other employer offices as and when required. During the module, apprentices work on a range of projects, selected by the employer to give apprentices the opportunity to develop professional practice and to apply and integrate technical knowledge, skills and behaviours in an industrial working environment on their own and as part of a team. Projects are fully supervised at the employer; apprentice performance is assessed jointly by the immediate supervisor and a member of staff in the School of Computer Science.
Pre-requisite(s): Before taking this module you must pass CS2002 and ( pass CS2001 or pass CS2101 )
Weekly contact: Full-time on placement.
Module is a placement or study abroad
Scheduled learning hours: 0
Guided independent study hours: 50
As used by St Andrews: 100% Coursework
Re-assessment: Not applicable
Module coordinator: Dr R Hoffmann
Module teaching staff: Dr. Ruth Hoffmann (rh347)
Module coordinator email rh347@st-andrews.ac.uk