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Statistics

HDip Statistics
Graduate Taught (level 8 nfq, credits 60)
The UCD School of Mathematics and Statistics group was ranked in the top 200 in the world in the QS world university ranking, and is the only statistics group in Ireland to appear in this ranking.

The Higher Diploma in Statistics provides students with a good background in statistical theory and methods, which can be used in a variety of areas of application. Students who are awarded an or upper second class honours in the Higher Diploma in Statistics are qualified to enter the MSc degree in Statistics.

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 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. in statistics. 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
• 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.
• Model real-world problems in a statistical framework
• Use the language of logic to reason correctly and make deductions.
• Approach problems in an analytical, precise and rigorous way.
• Give oral presentations of technical statistical material at a level appropriate for the audience.
• Prepare a written report on technical statistical content in clear and precise language.

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 proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.

Duration

1 year full-time (T013). 2 years part-time (T067).

Number of credits

60

Careers or further progression

Career Opportunities
Career prospects on completion of the Higher Diploma in Statistics are excellent. 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 (e.g., Google, Intel, data mining companies). In addition, many government departments employ statisticians including the Central Statistics Office. Many students embarked on the MSc in Statistics programme offered by UCD, based on achieving a second class honours, grade 1 in the Higher Diploma in Statistics.

Prospective employers include Vodafone, Google, Irish Life, Paddy Power, the ESRI, SPSS, Bank of Ireland, Quintiles, Accenture, Tesco, Ebay and Aviva.

Related Programmes
• Prof Cert Mathematics for Data Analytics and Statistics PT
• MSc Statistics FT

Further enquiries

Contact Number:+353 (0)1 716 2452

Subjects taught

Stage 1 - Core
Data Modelling for Science
STAT20070

Inferential Statistics
STAT20100

Probability Theory
STAT20110

Predictive Analytics I
STAT30240

Advanced Predictive Analytics
STAT30250

Statistical Machine Learning
STAT30270

Stage 1 - Option
Transferable Skills
ACM40810

Survey Sampling
STAT30020

Actuarial Statistics I
STAT40020

Actuarial Statistics II
STAT40070

Nonparametric Statistics
STAT40080

Multivariate Analysis
STAT40150

Survival Models
STAT40250

Bayesian Analysis
STAT40380

Monte Carlo Inference
STAT40400

Data Programming with R
STAT40620

Stochastic Models
STAT40680

Time Series Analysis - Act App
STAT40700

Data Prog with SAS (online)
STAT40840

Comment

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.

Application date

How to apply?
The following entry routes are available:
HDip Statistics FT (T013)
Duration: 1 Years
Attendance: Full Time
Deadline: Rolling *

HDip Statistics PT (T067)
Duration: 2 Years
Attendance: Part Time
Deadline: Rolling *

* Courses will remain open until such time as all places have been filled, therefore early application is advised.

Course fee

HDip Statistics (T013) Full Time
EU fee per year - €7,005
non EU fee per year - €12,800

HDip Statistics (T067) Part Time
EU fee per year - €4,005
non EU fee per year - €8,265

***Fees are subject to change.

Enrolment and start dates

Next Intake: 2019/2020 September

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