Statistics

MA Statistics

Graduate Taught (level 9 nfq, credits 120)



The goal of the MA Statistics is to train the new generation of data scientists, by empowering them with a broad range of skills in statistics and machine learning. Once completed, the MA Statistics brings students to the same level as the MSc Statistical Data Science: the degrees are equivalent. However, differently from the 1-year MSc Statistical Data Science, the MA Statistics is 16 months long, and it includes several fundamental statistics modules in its core structure. These modules cover the fundamentals of statistics and data science, and prepare students for more advanced modules.



The MA Statistics programme is aimed at students who have an undergraduate degree in a discipline with numerate skills, and who have covered some basic topics of statistics.



The MA Statistics is an EMOS (European Master in Official Statistics) labelled programme, which means that some students may have the opportunity to take modules and a project on official statistics, and potentially receive the EMOS certification of their degree. The EMOS MA Statistics also includes a research module, which is provided in the form of an internship at an institution whose work involves official statistics. The MA Statistics is the only EMOS accredited programme in Ireland and it is ideal for students that are interested in pursuing a career in official statistics, in Ireland or abroad.



The MA Statistics is ideal for students interested in data science careers in industry, business, government, and to those interested in pursuing a subsequent PhD in statistics or other areas related to data science.

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 CommunicationMEEN40670

Introduction to Bayesian AnalysisSTAT20180

Modern Regression AnalysisSTAT20230

Applied Statistical ModellingSTAT40510

DissertationSTAT40710

Statistical Machine Learning (online)STAT40750



Stage 1 - Option

Numerical AlgorithmsACM40290

Data MiningCOMP40370

Machine Learning with PythonCOMP47750

OptimisationCOMP47790

Applied Matrix TheoryMATH40550

Advanced Predictive AnalyticsSTAT30250

Data Programming with RSTAT30340

Actuarial Statistics ISTAT40020

Actuarial Statistics IISTAT40070

Nonparametric StatisticsSTAT40080

Design of ExperimentsSTAT40110

Multivariate AnalysisSTAT40150

Survival ModelsSTAT40250

Monte Carlo InferenceSTAT40400

Stochastic ModelsSTAT40680

Time Series Analysis - Act AppSTAT40700

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

Machine Learning & AI (online)STAT40970

Stat Network AnalysisSTAT41010

Bayesian Data AnalysisSTAT41070

Mathematical StatisticsSTAT41080

- 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

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.

120

MA Statistics FT (F043): 16 months Full Time.

MA Statistics PT (F044): 32 months Part Time.

Mode of Delivery: Face-to-Face.

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.

Next Intake: 2024/2025 September.

Careers & Employability

On successful completion of the programme, students will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.



Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students embarked on a career in academia by proceeding to study for a PhD.



Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our Statistics graduates continues to be strong both in Ireland and abroad.