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 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.

Download the course brochure (pdf)

  • 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

Careers & Employability

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.

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.

This programme is aimed at students with a numerate background, but below that required for direct entry into the MSc in Statistics, but who nevertheless have a strong interest in the subject.  It enables them to reach in sixteen months a level of statistical knowledge broadly equivalent to that of MSc graduates.  In the first part of the programme, students study background material appropriate to a four-year BSc, thereby enabling them as the course progresses to study statistics at the graduate level.  The taught modules in the programme provide a thorough grounding in statistics; the (supervised) research project introduces the students to the area of statistical research.  Thereby, the students are prepared well for either a career either in industry or in academia. We expect our students to become autonomous learners and researchers capable of setting their own research agenda.  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. 

  • Demonstrate in-depth knowledge of the key skills required by a practicing statistician, including data collection methods, statistical method development, analysis of statistical output
  • Undertake excellent research at an appropriate level, using the statistical research skills learnt in the programme
  • 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
  • Work independently and be able to pursue a research agenda
  • Give oral presentations of technical mathematical material at a level appropriate for the audience
  • Prepare a written report on technical statistical content in clear and precise language

View All Modules Here

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.

MA Statistics (F043) Full Time
EU          fee per year - € 9790
nonEU    fee per year - € 18300

MA Statistics (F044) Part Time
EU          fee per year - € 3450
nonEU    fee per year - € 6100

***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.

  • 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.

School of Mathematics and Statistics Application Process FAQ

Staff Profile
Dr Andrew Parnell,
UCD School of Mathematical Sciences,
Complex and Adaptive Systems Laboratory


My main statistical interest is in Bayesian stochastic processes and computational statistics. I am particularly interested in Gaussian processes, stochastic volatility models, compositional data analysis and monotonic processes. I have applied such models to a variety of environmental, biomedical and ecological science problems relating to: spatiotemporal climate reconstruction, stable isotope mixing models, the development of biomarker panels for prostate cancer, sea-level change and radiocarbon dating.

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