Expand+Who should apply?
Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No

The Graduate Certificate in Statistics is aimed at students who have an undergr...

Hide-Who should apply?
Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No

The Graduate Certificate in Statistics is aimed at students who have an undergraduate degree in a discipline related to Statistics and with numerate skills. Compulsory modules are intended to ensure that all students have a formal preparation on probability and statistics, while optional modules include a wide range of advanced statistical methods and applications. The compulsory modules are delivered face-to-face, whereas the option modules include both face-to-face and fully-online modules.

Expand+GradCert Statistcs
Graduate Taught (level 9 nfq, credits 30)

The UCD School of Mathematics and Statistics group was ranked in the top 200 in the world in the QS world university ranking, and is the only statistics group in Ireland to appear in th...

Hide-GradCert Statistcs
Graduate Taught (level 9 nfq, credits 30)

The UCD School of Mathematics and Statistics group was ranked in the top 200 in the world in the QS world university ranking, and is the only statistics group in Ireland to appear in this ranking.

The Graduate Certificate in Statistics is a part-time programme over two trimesters.

The programme provides the students with both foundational modules on probability and statistics, as well as a wide range of more advanced and specialised statistics modules. The foundational modules offer a formal preparation on the mathematical aspects of probability and statistics. At the same time, the students gain access to advanced statistics modules which allow them to specialise in a particular area of interest.

This programme is ideal for part-time students who are interested in gaining an advanced knowledge of a specific area of statistics, in that the programme offers a streamlined pathway into achieving this goal, within two trimesters. In addition, the programme can be used to gain access to other graduate degrees, such as the EMOS-certified MA Statistics or the MSc Statistics.

The Graduate Certificate in Statistics does not require any prior knowledge of statistics, however, a demonstrated numerical ability is essential.

Vision and Values Statement
This programme is aimed at students and professionals who have an undergraduate degree which has a focus on mathematics, and who wish to gain a deeper understanding of a particular area of statistics. The programme allows the students to obtain an excellent formal training on the foundations of probability and statistics, and to focus and specialise on a particular area of statistics that they choose. The programme will serve professionals who are interested in gaining a deep understanding of a particular area of statistics and data science, but it can also serve students who are interested in pursuing a study career focussed on statistics and data science. In just two trimesters of part-time study, the Graduate Certificate in Statistics can provide a streamlined pathway into graduate programmes such as the MSc Statistics and the EMOS-certified MA Statistics.

Programme Outcomes
- Approach problems in an analytical, precise and rigorous way

- Demonstrate strong proficiency in the mathematical aspects of probability and statistics

- Model real-world decision-making problems using a formal statistical framework

- Demonstrate in-depth knowledge and strong proficiency in an advanced statistics topic or area

- Use the language of logic to reason correctly and make deductions

Related Programmes
MSc Statistics FT
MA Statistics FT
HDip Statistics FT
MSc Data Analytics PT
MSc Actuarial Science FT

Expand+Stage 1 - Core
Inferential Statistics STAT20100
Introduction to Probability STAT20110

Stage 1 - Option
Bayesian Analysis STAT20180
Predictive Analytics I STAT30240
Advanced Predictive Analytics STAT30250
Statistical Machine Learning STAT3027...

Hide-Stage 1 - Core
Inferential Statistics STAT20100
Introduction to Probability STAT20110

Stage 1 - Option
Bayesian Analysis STAT20180
Predictive Analytics I STAT30240
Advanced Predictive Analytics STAT30250
Statistical Machine Learning STAT30270
Actuarial Statistics I STAT40020
Design of Experiments STAT40110
Categorical Data Analysis STAT40120
Multivariate Analysis STAT40150
Survival Models STAT40250
Monte Carlo Inference STAT40400
Data Programming with R STAT40620
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Programming with R (Online) STAT40730
Multivariate Analysis (Online) STAT40740
Statistical Machine Learning (online) STAT40750
Adv Pred Analytics (online) STAT40770
Predictive Analytics I (online) STAT40790
Data Prog with Python (online) STAT40800
Monte Carlo (online) STAT40820
Bayesian Analysis (online) STAT40850
Time Series (online) STAT40860
Machine Learning & AI (online) STAT40970
Stat Network Analysis STAT41010
Official Statistics STAT41030

Expand+Careers & Employability
The Graduate Certificate in Statistics unlocks a variety of different opportunities both regarding potential study careers and regarding professional employments employment. This part-time programme provides a flexible framew...

Hide-Careers & Employability
The Graduate Certificate in Statistics unlocks a variety of different opportunities both regarding potential study careers and regarding professional employments employment. This part-time programme provides a flexible framework to strengthen the student's skills as a statistician and data analyst. Nowadays, these skills are essential and in high demand for a variety of jobs in data science, the pharmaceutical industry, banking, finance, and risk management.

Professionals can benefit from the Graduate Certificate in Statistics since it allows them to consolidate their formal knowledge of statistics, as well as to specialise in a specific statistics area of interest.