Mathematics & Statistics - Research Methods

University College Dublin


Course Name Mathematics & Statistics - Research Methods
Course Provider University College Dublin
Course Code STAT10010
Course Type Lifelong Learning
Apply To Course provider
Attendance Options Part time, Online or Distance, Blended
Location (Districts) Belfield
Enrolment and Start Dates Comment TRIMESTER: Autumn
Application Date 2022-2023 Academic Year
Pre-Registration for Autumn 2022 will be reopening in August!

Please keep in mind that Open Learning module offerings and details are subject to change and are available on a first-come-first-serve basis. Should your preferred module be at capacity, please email us at so that we can discuss your options.
Duration Autumn Trimester - September to December

Student Effort Hours:
Student Effort Type Hours
Lectures 18
Tutorial 11
Autonomous Student Learning 72
Total 101

Approaches to Teaching and Learning:
Lectures, Tutorials, Group Based Learning, Problem Based Learning, Peer Assisted Learning
Link to Course Fee Web Page - Click Here

Expand+Requirements, Exclusions and Recommendations
Learning Requirements:
Leaving Certificate Mathematics: Ability to perform arithmetic computations (addition, subtraction, multiplication and division). Understanding of fractions and ability to manipula...

Course Content

Expand+STAT10010 Research Methods
Academic Year 2022/2023

This module is aimed at students who are NOT studying a degree with a significant statistics content but would like to get some exposure to the basic concepts of data collection and analysis. We ...

Number of Credits 5
Careers or Further Progression Open Learning is one of our most flexible pathways for entering into UCD undergraduate study. With 12 UCD undergraduate programmes, learners are able to accumulate 30 credits towards a NFQ Level 7 Certificate in Open Learning at their own pace from a variety of undergraduate modules. We have a dedicated team ready to support you in planning your unique learning journey, contact us via:
Course Web Page Web Page - Click Here