Explore UCD

UCD Home >

STAT20250

Academic Year 2026/2027

Data Programming with R (STAT20250)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Dr Isabella Gollini
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

R is a free, open-source programming language and software environment designed for data analysis, graphics, and statistical computing. It is continually updated by contributors from all over the world who add new packages that implement a range of statistical and machine learning techniques. R is widely used by academic researchers and businesses globally.
This module provides an introduction to R, covering essential topics such as manipulating different data type, programming constructs, flow control, graphical and visualisation methods, working with large datasets, as well as document and report creation.

About this Module

Learning Outcomes:

At the end of the course, students should have attained an intermediate-level knowledge of R. They should be able to use R to:
- Manipulate data sets of any size and structure.
- Create professional quality graphical summaries of data.
- Produce data analysis documents
- Program and implement efficient algorithms.

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


 

Student Effort Hours:
Student Effort Type Hours
Lectures

12
Computer Aided Lab

12
Specified Learning Activities

26
Autonomous Student Learning

100
Total

150

Approaches to Teaching and Learning:
Lectures, and lab practical sessions.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
ECON20240 - R for Economists, STAT30340 - Data Programming with R (BLD), STAT40730 - Data Prog with R (Online)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): There will be one small assignment worth 2% due in week 3 and two main 2 assignments, each worth 19% due in week 6 and 10. Week 3, Week 6, Week 10 Alternative linear conversion grade scale 40% No
40
 No
Assignment(Including Essay): The final project will involve using the R programming tools covered in the course. Week 15 Alternative linear conversion grade scale 40% No
50
 No
Quizzes/Short Exercises: There will be 4 small tests, each worth 2.5%, which will be available on Brightspace. Week 4, Week 6, Week 9, Week 12 Alternative linear conversion grade scale 40% No
10
 No

As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.


Carry forward of passed components
No
 

Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Blerta Begu Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 10:00 - 10:50
Spring Computer Aided Lab Offering 1 Week(s) - 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 09:00 - 09:50
Spring Computer Aided Lab Offering 2 Week(s) - 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 16:00 - 16:50
Print this page
Fill in the following details:
Enter the body of your query here.

From time to time UCD would like to send you further information that we feel, based on your enquiry, would be of interest to you.