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.

• 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

Vision and Values Statement
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.

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
• 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.
• 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

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.

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

Subjects taught

Stage 1 - Core
Technical Communication
Predictive Analytics I
Statistical Machine Learning
Bayesian Analysis
Stat Network Analysis

Stage 1 Option
Numerical Algorithms
Transferable Skills
Data Mining
Machine Learning
Applied Matrix Theory
Actuarial Statistics I
Actuarial Statistics II
Design of Experiments
Categorical Data Analysis
Multivariate Analysis
Data Programming with R
Survival Models
Mathematical Statistics
Multivariate Analysis
Monte Carlo Inference
Monte Carlo Inference
Applied Statistical Modelling
Stochastic Models
Time Series Analysis - Act App
Data Prog with Python (online)
Data Prog with SAS (online)
Stat Network Analysis (online)




16 months Full Time (F043). 32 months Part Time (F044).


MA Statistics (F043) Full Time
EU fee per year - €10,235
non EU fee per year - €19,200

MA Statistics (F044) Part Time
EU fee per year - €3,610

***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.

Enrolment dates

Next Intake: 2020/2021 September

Post Course Info

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

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider