- Graduate Diploma
- Higher Diploma (Level 8 NFQ)
- Full time
- Part time
- Course provider
Enrolment and Start Dates Comment
Start Date: September 2015.
9 or 18 Months
Schedule: Full Time & Part Time
Please note that the part-time programmes are run during the day (i.e. no evening or weekend lectures) and lectures are scheduled between 9.00am. and 5.00pm.
Link to Course Fee
HDip in Statistics:
You will need at least a 2H1 degree (or equivalent) in a numerical discipline or a cognate subject area for entry.
English Language Requirements
Teaching in Irish Universities is through the medium of English; therefore all applicants are required to demonstrate a high level of competence in English language.
The minimum English Language Requirements in relation to International English Language Testing System (IELTS):
An average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version
The minimum English Language Requirements in relation to Test of English as a Foreign Language (TOEFL) administered by Princeton University:
In the Test of English as a Foreign Language (TOEFL), a minimum score from 600 paper based TOEFL(with a minimum score of 475 in the Test of Written English), 250 computer based TOEFL or 100 internet based TOEFL (iBT)
For all proficiency tests the results must be less than 2 years old.
Who is the Higher Diploma in Statistics for?
The Higher Diploma in Statistics is for those with a non-statistical background who wish to reach in nine months a level of statistical knowledge equivalent to that of a BSc Honours degree in Statistics.
What will I learn?
The Higher Diploma in Statistics is a taught postgraduate programme which provides students with a good background in statistical theory and methods. Students learn about the fundamentals of probability and statistics, as well as gaining knowledge of standard statistical techniques. Additionally students will learn how to work with several statistical software packages.
How will I benefit?
Students will benefit by gaining in nine months a statistical knowledge equivalent to that gained in a BSc Honours degree in Statistics. The statistical theory and methods you will learn can be used in a variety of areas of application. In general, those who successfully complete this program have excellent employment prospects. Also, those who wish to proceed to the taught MSc in Statistics must attain a distinction in the Higher Diploma in Statistics.
What is the programme about?
The Higher Diploma in Statistics is specifically designed to provide students with a solid theoretical and applied statistical knowledge so that they can continue to further study in the field of Statistics or be employed as an applied statistician on completion of the degree.
Taught modules cover a wide range of areas within Statistics providing a broad knowledge base.
Exposure to a wide range of current statistical software packages, which is vital for future employment.
The option of choosing some modules, so students can tailor their own programme to their own interests.
STAT20070 Data Modelling for Science
STAT20110 Probability Theory
STAT30020 Survey Sampling
STAT30240 Linear Models I
STAT20100 Inferential Statistics
STAT30250 Linear Models II
STAT30270 Statistical Data Mining
STAT40020 Actuarial Statistics I
STAT40250 Survival Models
STAT40400 Monte Carlo Inference
STAT40680 Stochastic Models
STAT40700 Time Series Analysis - Act App
STAT40070 Actuarial Statistics II
STAT40110 Design of Experiments
STAT40150 Multivariate Analysis
STAT40380 Bayesian Analysis
Careers or Further Progression
Where can I go?
In general, those who successfully complete this program have excellent employment prospects as a Statistician. Statisticians are required in a wide range of fields ranging from pharmaceutics to social science to economics. Those who wish to proceed to the taught MSc in Statistics offered in UCD must attain a distinction in the Higher Diploma. Many past students have followed this route of further study within Statistics.
Contact Name: Kate O'Hanlon
Contact Number: +353 (0)1 716 7375