- 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 who have demonstrated numerical ability. Students who are awarded a distinction or upper second-class honours in the Higher Diploma in Statistical Data Science 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.
About This Course
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.
• 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
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.
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants: 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 Statistical Data Science:
| ROWCLASS | Apply to |
|---|---|
| showAudience-audienceEU showAudience-audienceInt | F263 Statistical Data Science Higher Diploma Full-Time Commencing September 2025 Graduate Taught |
| showAudience-audienceEU showAudience-audienceInt | F264 Statistical Data Science Higher Diploma Part-Time Commencing September 2025 Graduate Taught Not available to International applicantsApply |
* you can change options at the top of the page