Explore UCD

UCD Home >

ACM41060

Academic Year 2025/2026

Internship - Data&Comp Science (ACM41060)

Subject:
Applied & Computational Maths
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
15
Module Coordinator:
Assoc Professor Lennon Ó Náraigh
Trimester:
Summer
Mode of Delivery:
Online
Internship Module:
Yes
Module Type:
Professional/Work Placement Module
How will I be graded?
Pass/Fail (GPA Neutral)

Curricular information is subject to change.

The aim of this module is to provide students with practical exposure to working in industry during which they can apply domain knowledge gained during their studies in UCD. Students will work in a setting that reflects their interests as a data-science professional. Relevant sectors include Software Development, Data Science, Fintech, Consultancy, and the Public Sector. Students will experience workplace culture making them more effective employee following graduation.

The exact nature of the work that students will undertake will vary according to the nature of the organizations that they join, however, the student will be expected to take a full part in the activities of the organization that they join and to make positive contributions to that organization. In contrast with routine work, an internship is defined as a learning experience incorporating mentoring, and professional supervision in which work is viewed from critical and evaluative perspectives. Assessment in the module is designed to promote this learning experience. The module is graded in a pass/fail grade neutral fashion and so has no impact on final GPA calculation.

Academic research based internships (e.g. working for a PI within UCD) are generally not permitted. There is an expectation that internships will be paid work experience positions. Self-sourced internship positions require prior-approval from the academic module co-ordinator.

About this Module

Learning Outcomes:

On completion of this module, students will be able to:

• Work in a professional environment.
• Apply their domain knowledge in a professional setting.
• Demonstrate an ability to self-organize, to prioritize tasks and to work effectively to deadlines, serving the needs of key stakeholders within a professional environment.
• Reflect on the learning experience and outcomes of their internship.

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

20

Placement/Work Experience

280

Total

300


Approaches to Teaching and Learning:
task-based learning; group work; reflective learning

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Reflective Assignment: Interim reflection on experience Week 8 Pass/Fail Grade Scale No
20
No
Reflective Assignment: Final reflection on experience including employer feedback and response to same Week 12 Pass/Fail Grade Scale No
80
No

Carry forward of passed components
No
 

Not yet recorded

Please see Student Jargon Buster for more information about remediation types and timing. 

Not yet recorded

Name Role
Assoc Professor Wagner Barreto-Souza Lecturer / Co-Lecturer