- 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
This course is available through the following application route(s)
The Graduate Certificate in Statistical Data Science 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 Statistical Data Science or the MSc Statistical Data Science.
The Graduate Certificate in Statistical Data Science does not require any prior knowledge of statistics, however, a demonstrated numerical ability is essential.
About This Course
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)20CR: Students must choose 20 credit |
STAT20230 | Modern Regression Analysis | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT30340 | Data Programming with R (Blended) | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40020 | Actuarial Statistics I | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40110 | Design of Experiments | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40250 | Survival Models | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40700 | Time Series Analysis - Act App | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40730 | Data Programming with R (Online) | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40790 | Predictive Analytics I (online | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40820 | Monte Carlo (online) | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40860 | Time Series (online) | Autumn | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT30250 | Advanced Predictive Analytics | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT30270 | Statistical Machine Learning | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40080 | Nonparametric Statistics | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40150 | Multivariate Analysis | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40750 | Statistical Machine Learning (online) | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40770 | Adv Pred Analytics (online) | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40850 | Bayesian Analysis (online) | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT41120 | Machine Learning and AI | Spring | 5 |
Stage 1 Options - A)20CR: Students must choose 20 credit |
STAT40740 | Multivariate Analysis (Online) | Spring and Summer (separate) | 5 |
Module list will appear here when available. |
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
You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No
The Graduate Certificate in Statistical Data Science 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.
How to Apply
General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Statistical Data Science:
| ROWCLASS | Apply to |
|---|---|
| showAudience-audienceEU showAudience-audienceInt | F265 Statistical Data Science Graduate Certificate Part-Time Commencing September 2025 Graduate Taught Not available to International applicantsApply |
* you can change options at the top of the page