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Course Details
Course Code(s):
MA5021
Available:
Part-Time
Intake:
Course Start Date:
Spring 2026
Duration:
6 Weeks
Award:
University Certificate of Study
Qualification:
6 ECTS @ NFQ level 9
Faculty:
Science and Engineering
Course Type:
Professional/Flexible, Online
Fees:
For Information on Fees, see section below.
Contact(s):
Read instructions on how to apply
for more information or to be notified when applications are open.
Brief Description
ReSHAPE Project Funding
Fully funded places are available for learners living or working in the Midlands region, counties Laois, Offaly, Longford and Westmeath. Eligible learners can avail of 100% funding under ReSHAPE. For information on how to apply for the funding, please visit the ReSHAPE Website:
ReSHAPE Project is co-funded by the Government of Ireland and the European Union through the EU Just Transition Fund Programme 2021-2027.
R is one of the most widely used tools for data analysis in industry, research, and academia—valued for its flexibility, open-source community, and data visualisation power.
This 6-week, Level 9 micro-credential is ideal for professionals or researchers who want to start using R for data analytics no prior coding experience is needed. You’ll learn to import, wrangle, summarise, and visualise data, develop interactive dashboards, and explore reproducible workflows in RStudio.
Whether you’re new to programming or upskilling for your role, this module offers a practical foundation in one of today’s most important data tools.
This module is associated with the Data Analytics Professional Diploma . It can be taken as a standalone University Certificate of Study (UCOS) module and as part of a pathway to a larger award.
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During this module, you will:
Learn the fundamentals of data analytics and how to apply them using R and RStudio.
Gain hands-on experience in data wrangling, data summary, and data visualisation., .
Develop reproducible coding practices for data projects.
Strengthen your CV with in-demand skills in R and analytics, supporting career development or progression to further study.
Key Information:
This micro-credential will be delivered fully online over 6 weeks.
Continuous assessment, including applied coding exercises, short written assignments, and practical projects using R and RStudio.
Part-time considerations:
Designed for working professionals
Evening or recorded lectures
Additional prep and group work time
Timetable provided after registration
To help you to be successful on this course:
Applicants should hold a bachelor’s degree ( Level 8) with at least a second-class honours, grade 2 (2:2) in a relevant discipline.
Guidelines for your applications:
When applying, be sure to include the Module Code MA5021. We can’t process your application without it. You can apply for more than one module using the same application.
By applying, you confirm that you meet the entry requirements and are able to take part in the course and its assessments.
This course will only go ahead if it meets minimum enrolment number.
Completing this module doesn’t guarantee you a place in a full programme. If you want to apply for a full programme, you must meet the specific entry requirements for that course.
EU - €1,250
Further information on fees and payment of fees is available from the website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie).
Other funding
Find further information on funding and scholarships.
This micro-credential can lead to the following sectors and careers:
Research and analysis roles in academia, government, or industry.
Data and insights roles in finance, healthcare, marketing, and the public sector.
Business intelligence, reporting, and data visualisation positions.
Progression to postgraduate study in data science, analytics, or computational science.
Graduate and Professional Studies
+353 (0)61 234377
¾ÅÉ«ÊÓƵ, Limerick, Ireland