HDip Statistics

Graduate Taught (level 8 nfq, credits 60)

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)

Careers & Employability

Many students pursue careers in the pharmaceutical industry, banking, finance and risk management. There is an increase in demand for statisticians from the IT sector. Many government departments employ statisticians including the Central Statistics Office. Many students embarked on the MSc Statistical Data Science, based on achieving a second-class honours grade. Prospective employers include Vodafone, Google, Intel, Irish Life, Paddy Power, the ESRI, SPSS, Bank of Ireland, Quintiles, Accenture, Tesco, eBay and Aviva.

Curricular information is subject to change

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Who should apply?

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

Course Description

Ireland is home to over 250 global financial institutions and there are opportunities for Higher Diploma Statistics graduates in industry, government, IT, economics and finance. This programme provides students with a good background in statistical theory and methods, which can be used in a variety of areas of application.

On successful completion of the programme 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

Vision and Values Statement

This programme is aimed at students with a numerate background, but below that required for direct entry into the MSc Statistical Data Science or MA in Statistics, but who nevertheless have a strong interest in the subject. Throughout the course of this programme students take a small number of modules at early undergraduate level in statistics in order to give them a solid underpinning in the foundations of statistics, together with some more advanced undergraduate level modules. This should broadly bring students to the level of a four-year B.Sc. Degree. On completion of this programme, students should be well prepared for a career in industry. Additionally, the H.Dip in statistics may serve as an entry route for the M.Sc. Statistical Data Science .We expect our students to become autonomous learners. They will be capable of solving relevant problems in the language of statistics. Our graduates will be in demand by employers and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We value students who are motivated to find the underlying causes and reasons for observations and patterns. We aim to provide a teaching and learning environment that develops confidence and independence through a wide variety of interactive formats, both inside and outside the classroom.

Programme Outcomes

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.

What modules can I take?

View All Modules Here

Fees, Funding and Scholarships

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

Entry Requirements

• 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

Testimonial

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.