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MA Statistics
The MA in statistics will bring students to the same level as the 1 year MSc degree in Statistics

Currently, students without sufficient statistical background knowledge can attain masters level proficiency by first completing the Higher Diploma in Statistics followed by the MSc in Statistics, which takes two years. The MA in Statistics provides an alternative pathway in 16 months and there is no comparable programme in Ireland or the UK.

- 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 UCD MA Statistics is fully accredited by the Royal Statistical Society

- Exposure to cutting-edge modern statistical applications

This programme is intended for students with a numerate background but who may have insufficient background knowledge to gain entry to the MSc programme.

Entry requirements

- This programme is intended for applicants with a degree in Mathematics, Economics, Finance, certain Engineering degrees or similar quantitative disciplines where statistics has formed some component of the degree. An upper second class honours, or international equivalent is required.

- Applicants who do not meet these requirements but can demonstrate an interest and ability in statistics may be considered.

- Alternatively students may qualify for enrolment to the Higher Diploma Statistics from which they can gain entry to the 1-year MSc in Statistics.

- 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.


16 months Full Time, 32 months Part Time.

Number of credits


Careers or further progression

Career Opportunities
Career prospects on completion of the MA in Statistics are equivalent to that of the MSc in Statistics and graduates pursue careers in the pharmaceutical industry (e.g. Elan, Quintiles), banking, finance, and risk management.

There is increased demand for statisticians from the IT sector (e.g. Google, Intel, data mining companies). In addition many government departments employ statisticians. Some past students embarked on a career in academia by proceeding to study for a PhD in Statistics. Former MSc and MA students are currently working for such firms as Google, Western Union, AIB, Norbrook, EY, O2 and SPSS, while others chose to do a PhD. Demand for graduates continues to be strong both in Ireland and abroad.

Related Programmes
MSc Actuarial Science FT
Professional Diploma Data Analytics PT
Prof Cert Mathematics for Data Analytics and Statistics PT
HDip Statistics FT
MSc Statistics FT

Further enquiries

Contact Name: Valerie Kendlin
Contact Number:+353(0)1 716 2452

Subjects taught

There are 120 credits of work to do spread over four semesters. The first two semesters involve taking nine 5-credit modules (45 credits) from the Higher Diploma programme, the module MEEN 40670 Technical Communication(5 credits) together with two modules at 7.5 credit (15 credits) from the M.Sc. programme. The third semester involves a 25 credit research or data analytic project. The fourth semester involves taking four modules at 7.5 credits (30 credits) at level 4 from the M.Sc. programme.

Students must take all Core modules in addition to the dissertation in order to complete the programme.

Stage 1 - Core
Technical Communication MEEN40670
Linear Models I STAT30240
Linear Models II STAT30250
Statistical Data Mining STAT30270
Applied Statistical Modelling STAT40530
Dissertation STAT40710

Stage 1 - Options

Numerical Algorithms ACM40290
Uncertainty Quantification ACM41000
Data Mining COMP40370
Machine Learning COMP47490
Applied Matrix Theory MATH40550
Actuarial Statistics I STAT40020
Actuarial Statistics II STAT40070
Design of Experiments STAT40110
Categorical Data Analysis STAT40120
Multivariate Analysis STAT40150
Data Programming STAT40180
Experimental Design STAT40190
Survival Models STAT40250
Categorical Data Analysis STAT40300
Mathematical Statistics STAT40320
Multivariate Analysis STAT40340
Bayesian Analysis STAT40380
Bayesian Analysis STAT40390
Monte Carlo Inference STAT40400
Monte Carlo Inference STAT40410
Applied Statistical Modelling STAT40530
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Prog with Python (online) STAT40800
Data Prog with SAS (online) STAT40840

Application date

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

The following entry routes are available:

MA Statistics FT (F043)
Duration 16 Months
Attendance Full Time
Deadline Rolling *

MA Statistics PT (F044)
Duration 32 Months
Attendance Part Time
Deadline Rolling *

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

Enrolment and start dates

Next Intake:2018/2019 September

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