This course is available through the following application route(s)
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 Statistical Data Science.
The Graduate Certificate in Statistics does not require any prior knowledge of statistics, however, a demonstrated numerical ability is essential.
- 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
Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.
Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| Trimester | Credits | |||
|---|---|---|---|---|
Stage 1 Core Modules |
STAT20110 | Introduction to Probability | Autumn | 5 |
Stage 1 Core Modules |
STAT20100 | Inferential Statistics | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT20230 | Modern Regression Analysis | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT30340 | Data Programming with R | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40020 | Actuarial Statistics I | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40250 | Survival Models | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40700 | Time Series Analysis - Act App | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40730 | Data Programming with R (Online) | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40790 | Predictive Analytics I (online | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40820 | Monte Carlo (online) | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40860 | Time Series (online) | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT41020 | Survey Sampling | Autumn | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT41030 | Official Statistics | Autumn | 15 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT20180 | Introduction to Bayesian Analysis | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT30250 | Advanced Predictive Analytics | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT30270 | Statistical Machine Learning | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40080 | Nonparametric Statistics | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40150 | Multivariate Analysis | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40740 | Multivariate Analysis (Online) | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40750 | Statistical Machine Learning (online) | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40770 | Adv Pred Analytics (online) | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40850 | Bayesian Analysis (online) | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT40970 | Machine Learning & AI (online) | Spring | 5 |
Stage 1 Options - A) Min 0 of: Students must choose 20 credits worth of modules to be taken over two trimesters. |
STAT41010 | Stat Network Analysis | Spring | 5 |
Applicants must have a minimum of an upper second class honours degree in a numerate discipline or a cognate subject area.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
School of Mathematics and Statistics Application Process FAQ These are the minimum entry requirements – additional criteria may be requested for some programmes
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.
General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Statistics:
| ROWCLASS | Apply to | Application Type | ||
|---|---|---|---|---|
| showAudience-audienceEU showAudience-audienceInt | T367 Statistics Graduate Certificate |
Part-Time Commencing 2024/2025 September |
Graduate Taught | Apply |