Expand+How to apply?
The following entry routes are available:

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

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

* Courses will remain ...

Hide-How to apply?
The following entry routes are available:

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

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

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

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

Expand+MA Statistics (F043) Full Time
EU fee per year - € 11580
nonEU fee per year - € 21460

MA Statistics (F044) Part Time
EU fee per year - € 4080
nonEU fee per year - € 7160

***Fees are subject to change
Tuition...

Hide-MA Statistics (F043) Full Time
EU fee per year - € 11580
nonEU fee per year - € 21460

MA Statistics (F044) Part Time
EU fee per year - € 4080
nonEU fee per year - € 7160

***Fees are subject to change
Tuition fee information is available on the UCD Fees website. Please note that UCD offers a number of graduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships.

Expand+- 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 ...

Hide-- 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.

These are the minimum entry requirements – additional criteria may be requested for some programmes

Expand+MA Statistics
Graduate Taught (level 9 nfq, credits 120)

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 masterâ...

Hide-MA Statistics
Graduate Taught (level 9 nfq, credits 120)

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 master’s 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. The MA Statistics is an EMOS (European Master in Official Statistics) labelled programme, which means that some students may choose to take modules and a project on official statistics, and potentially receive the EMOS certification of their degree.

On successful completion of the programme you will be able to demonstrate in-depth understanding of statistical concepts, apply basic statistical reasoning, techniques and models in the analysis of real data, employ technical computing skills, learn from experiences gained in different contexts, and apply knowledge across discipline boundaries to solve problems.

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

EMOS (European Master in Official Statistics) labelled programme

Exposure to cutting-edge modern statistical applications

Expand+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...

Hide-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 mathematical 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

Undertake excellent research at an appropriate level, using the statistical research skills learnt in the programme

Use the language of logic to reason correctly and make deductions
Work independently and be able to pursue a research agenda

Expand+There are 120 credits of work to do spread over four semesters including nine 5-credit modules (45 credits) from the Higher Diploma programme

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

Hide-There are 120 credits of work to do spread over four semesters including nine 5-credit modules (45 credits) from the Higher Diploma programme

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

Stage 1 - Core
Technical Communication MEEN40670
Bayesian Analysis STAT20180
Modern Regression Analysis STAT20230
Statistical Machine Learning STAT30270
Applied Statistical Modelling STAT40510
Dissertation STAT40710

Stage 1 - Option
Numerical Algorithms ACM40290
Data Mining COMP40370
Machine Learning with Python COMP47750
Optimisation COMP47790
Applied Matrix Theory MATH40550
Advanced Predictive Analytics STAT30250
Actuarial Statistics ISTAT40020
Actuarial Statistics IISTAT40070
Nonparametric Statistics STAT40080
Multivariate Analysis STAT40150
Survival Models STAT40250
Mathematical Statistics STAT40320
Monte Carlo Inference STAT40400
Data Programming with RSTAT40620
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
Data Prog with C (online) STAT40780
Data Prog with Python (online) STAT40800
Adv Data Prog with R (online) STAT40830
Data Prog with SAS (online) STAT40840
Adv Bayesian Analysis (online) STAT40950
Stat Network Analysis STAT41010
Survey Sampling STAT41020

Expand+Careers & Employability
Career prospects on completion of the MA in Statistics are equivalent to those of the MSc in Statistics and graduates pursue careers in the pharmaceutical industry, banking, finance and risk management. There is increased dem...

Hide-Careers & Employability
Career prospects on completion of the MA in Statistics are equivalent to those of the MSc in Statistics and graduates pursue careers in the pharmaceutical industry, 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. Former MSc and MA students are currently working for such firms as Google, Western Union, AIB, Norbrook, Ernst & Young, O2 and SPSS. Other graduates embarked on careers in academia by proceeding to study for a PhD.