- Approach problems in an analytical, precise and rigorous way.
- Demonstrate in-depth knowledge of the key skills required by a practicing statistician, including data collection methods, statistical method development, analysis of statistical output.
- Demonstrate strong proficiency in mathematical and computational methods, including computer programming and scientific visualization.
- Give oral presentations of technical statistical material at a level appropriate for the audience.
- Model real-world problems in a statistical framework
- Prepare a written report on technical statistical content in clear and precise language.
- Use the language of logic to reason correctly and make deductions.
This course is available through the following application route(s)
This programme is aimed at graduates whose level of statistical or mathematical training is high and have demonstrated numerical ability. Students who are awarded a distinction or upper second-class honours in the Higher Diploma in Statistics are qualified to enter the MSc Statistical Data Science.
On successful completion of the programme, you will reach in one year a level of statistical knowledge equivalent to that of BSc Honours graduates. You will be able to apply basic statistical reasoning, techniques and models in the analysis of real data, understand the context in which statistical work is done, select appropriate statistical models for different applications, interpret results, and demonstrate programming skills, report writing skills and presentation skills.
Download the UCD Science Graduate Taught Courses brochure (pdf)
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 |
STAT20070 | Data Modelling for Science | Autumn | 5 |
Stage 1 Core Modules |
STAT20110 | Introduction to Probability | Autumn | 5 |
Stage 1 Core Modules |
STAT20240 | Predictive Analytics | Autumn | 5 |
Stage 1 Core Modules |
STAT20100 | Inferential Statistics | Spring | 5 |
Stage 1 Core Modules |
STAT20180 | Introduction to Bayesian Analysis | Spring | 5 |
Stage 1 Core Modules |
STAT30270 | Statistical Machine Learning | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT30340 | Data Programming with R | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40020 | Actuarial Statistics I | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40250 | Survival Models | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40700 | Time Series Analysis - Act App | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT41020 | Survey Sampling | Autumn | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT30250 | Advanced Predictive Analytics | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40070 | Actuarial Statistics II | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40080 | Nonparametric Statistics | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40150 | Multivariate Analysis | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT40970 | Machine Learning & AI (online) | Spring | 5 |
Stage 1 Options - A)6 of: Select six option modules |
STAT41010 | Stat Network Analysis | Spring | 5 |
Graduate Profile
James McBride, Director of the Irish Social Science Data Archive from 2000-2012
The material covered in the core lecture courses was underpinned by an excellent tutorial system, which further enhanced my understanding of the topics. I cannot recommend this course highly enough for anyone wishing to strengthen their statistical skills, whether to pursue a career in academic research or in the broader job market.
HDip Statistics (T013) Full Time
EU fee per year - € 8330
nonEU fee per year - € 15030
HDip Statistics (T067) Part Time
EU fee per year - € 4770
nonEU fee per year - € 9700
***Fees are subject to change
EU fee per year - € 8330
nonEU fee per year - € 15030
HDip Statistics (T067) Part Time
EU fee per year - € 4770
nonEU fee per year - € 9700
***Fees are subject to change
• Applicants must have a minimum of an upper second class honours degree in a numerical discipline or a cognate subject area.
• Applicants whose first language is not English must also demonstrate English language profi ciency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
School of Mathematics and Statistics Application Process FAQ
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No
This programme is aimed at graduates whose level of statistical or mathematical training is high, but below that of the BSc Degree Honours in Statistics, and who have demonstrated numerical ability. It enables them to reach in one year a level of statistical knowledge equivalent to that of BSc Honours graduates
How to Apply
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 | T013 Statistics Higher Diploma |
Full-Time Commencing 2024/2025 September |
Graduate Taught | Apply |
| showAudience-audienceEU showAudience-audienceInt | T067 Statistics Higher Diploma |
Part-Time Commencing 2024/2025 September |
Graduate Taught | Apply |
* you can change options at the top of the page