Applied Statistics - Grangegorman

What is... Applied Statistics?

The Postgraduate Certificate in Applied Statistics is a one-year part-time course, delivered by the School of Mathematics & Statistics. Classes are held in the evenings so that study can be balanced with work and personal life. This course studies a range of modern topics in statistics at Postgraduate Certificate level. The course is suitable for participants who wish to learn statistics for the first time or to build on their existing knowledge and skills set.



The course will be a blend of underlying theory and practice with an emphasis on the use of modern software packages, such as R. Participants will build on the skills required to understand the value and practical usage of statistical models, interpret and challenge results and have the ability to formulate and communicate the objectives of a statistical data analysis. Researchers who use statistical analysis and modelling techniques are also suitable for this course.

Module listing:

Year One

Semester 1

Introduction to Probability and Statistical Inference [Mandatory]

Statistical Programming and Applications [Mandatory]



Semester 2

Linear & Generalised Linear Regression Models [Mandatory]

Topics in Applied Statistics [Mandatory]

Minimum Entry Requirements?

Students wishing to enrol should normally possess at least the equivalent of: EITHER a qualification in Mathematics at level 7 on the National Framework of Qualifications and at least one year of relevant subsequent experience in a statistical role or two years of subsequent experience in an applicable area; OR a qualification at level 8 on the National Framework of Qualifications in any area with sufficient experience of a numerate discipline.



The Recognition of Prior Learning (RPL) procedures of the university will be used in assessing applicants who have qualifications not placed on the National Framework of Qualifications.

How to Apply

Applications will open in February 2025.



Non-EU Students

Non-EU students, not resident in Ireland, may only apply for part-time programs that are exclusively offered online, applications for courses that require on-campus attendance will not be processed and the application fee will not be refunded. Applications for exclusively online courses can be made under the following guidelines:



1. Standard Part-Time Rate: Non-EU students can apply and pay tuition fees at the standard part-time rate for the chosen program.



2. No Student Visa Required: Non-EU students applying for 100% online part-time courses do not require a student visa for Ireland.



3. No Residency Status Needed: Applicants do not need to possess any residency status in Ireland to be eligible for online programs as there is no requirement to travel to Ireland.

Assessment


The modules are assessed by a combination of continuous assessment undertaken during the semester and written examinations. Some modules involve practical tasks and are based solely on continuous assessment throughout the semester.


Examinations for Semester I modules take place in January and examinations for Semester II modules take place immediately following the end of teaching in May. Reassessment takes place in August. Students are required to attend the Institute and be available for examinations.

1 year part-time, online delivery.



Schedule

Each module is delivered over one semester. Online lectures and tutorials are held:

Monday (Online)

18:30 - 21:30



Wednesday (Online)

18:30 - 21.30

Commencement Date: September 2025.

What are my career opportunities?

The demand for statistical expertise has never been greater, brought about, in part, by the increase in the amount of data collected and analysed by organisations and also by the expectation on both the public and private sector for excellence in the area of metrics and intelligence-based decision making. Graduates of this course will be ready to take up data analysis and data scientist roles in sectors such as finance, manufacturing and engineering, internet technology, healthcare, government and non-profit organisations.