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# Statistics

HDip (NFQ Level 8)

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.

• 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.
Module Type Module   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

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

• 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

General application route(s) to Statistics:

ROWCLASS Apply to   Application Type
showAudience-audienceEU showAudience-audienceInt T013
Statistics
Higher Diploma
Full-Time
Commencing 2024/2025 September