- Approach data science problems in an analytical, precise and rigorous way.
- Demonstrate in-depth knowledge of the key skills required by a practicing statistician or data scientist, including data collection methods, statistical method development, analysis of statistical output, communication of the results.
- Demonstrate strong proficiency in 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 developed throughout the programme.
- Use the language of logic to reason correctly and make deductions.
- Work independently and be able to pursue a research agenda.
This course is available through the following application route(s)
The MA Statistical Data Science is aimed at graduates from numerate subjects with good statistical and mathematical training, or who have completed the Higher Diploma Statistics or the Graduate Certificate Statistics. The MA Statistical Data Science brings the students to the same level as the MSc Statistical Data Science: once completed, the degrees are equivalent. However, in contrast to the MSc Statistical Data Science, the MA Statistical Data Science is 16 months long, and it includes several foundational statistics modules in its core structure. These modules cover the fundamentals of statistics, machine learning, and data science, and prepare the students for more advanced modules. In addition, students take a supervised research module where they develop an individual project that addresses a present-day statistical problem. The programme trains students in both applied and theoretical statistical data science, and prepares them well for a career as research data scientists.
The MA Statistical Data Science is an EMOS (European Master in Official Statistics) labelled programme, which means that some students may choose to take modules and an individual project on official statistics, and potentially receive the EMOS certification of their degree. The EMOS MA Statistical Data Science programme also includes an internship at an Irish public institution that deals with official statistics. The EMOS MA Statistical Data Science provides an excellent opportunity to get involved and pursue a career in official statistics in Ireland or abroad, 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.
- EMOS (European Master in Official Statistics) labelled programme
- Exposure to cutting-edge modern statistical applications
About This Course
Career prospects on completion of the Statistical Data Science are equivalent to those of the MSc Statistical Data Science and graduates typically pursue careers related to data science as research data scientists, data analysts, and data engineers. As the demand for data scientists is growing, career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. A number of past students also embarked on a career in academia by proceeding to study for a PhD in statistics, data science, or related fields. Statistical Data Science graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our MA in Statistical Data Science graduates continues to be very strong both in Ireland and abroad.
Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.
Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| Trimester | Credits | |||
|---|---|---|---|---|
Stage 1 Core Modules |
STAT20230 | Modern Regression Analysis | Autumn | 5 |
Stage 1 Core Modules |
STAT30270 | Statistical Machine Learning | Spring | 5 |
Stage 1 Core Modules |
STAT40510 | Applied Statistical Modelling | Spring | 5 |
Stage 1 Core Modules |
STAT40770 | Adv Pred Analytics (online) | Spring | 5 |
Stage 1 Core Modules |
STAT40710 | Dissertation | Summer | 25 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
ACM40290 | Numerical Algorithms | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
COMP40370 | Data Mining | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
COMP47790 | Optimisation | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
MATH40550 | Applied Matrix Theory | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT30340 | Data Programming with R (Blended) | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40020 | Actuarial Statistics I | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40110 | Design of Experiments | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40250 | Survival Models | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40700 | Time Series Analysis - Act App | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
COMP47750 | Machine Learning with Python | Autumn and Spring (separate) | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
COMP40400 | Bioinformatics | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
MEEN40670 | Technical Communication | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40070 | Actuarial Statistics II | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40080 | Nonparametric Statistics | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40150 | Multivariate Analysis | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT41080 | Mathematical Statistics | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT41120 | Machine Learning and AI | Spring | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40830 | Adv Data Prog with R (online) | Summer | 5 |
Stage 1 Options - A)14 of: Option modules to be selected in consultation with the Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. NOTE : STAT41070 can only be taken in trimester 4 |
STAT40950 | Adv Bayesian Analysis (online) | Summer | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
ACM40290 | Numerical Algorithms | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
COMP40370 | Data Mining | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
MATH40550 | Applied Matrix Theory | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT30340 | Data Programming with R (Blended) | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40020 | Actuarial Statistics I | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40250 | Survival Models | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40700 | Time Series Analysis - Act App | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
STAT41070 | Bayesian Data Analysis | Autumn | 5 |
Stage 1 Options - B)12 of: Option modules to be selected in consultation with Programme Director. A minimum of 70 credits of option modules are required throughout the course of the programme to successfully complete. |
COMP47750 | Machine Learning with Python | Autumn and Spring (separate) | 5 |
Dr Michelle Carey
UCD School of Mathematics and Statistics
The ever-increasing rise of automated measurements allows us an unprecedented view of the world around us. Traditional statistical methodology is challenged by this more complex and high-dimensional data. My research advances statistical and numerical methods for the analysis of high-dimensional functional data in climatology, finance and medicine.
- 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
You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No
How to Apply
General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Statistical Data Science:
| ROWCLASS | Apply to |
|---|---|
| showAudience-audienceEU showAudience-audienceInt | F261 Statistical Data Science Master of Arts Full-Time Commencing September 2026 Graduate Taught |
| showAudience-audienceEU showAudience-audienceInt | F262 Statistical Data Science Master of Arts Part-Time Commencing September 2026 Graduate Taught Not available to International applicantsApply |
* you can change options at the top of the page