Programme Overview:
- Duration:
- 1 Years / 2 Years
- Attendance:
- Full Time / Part Time
- Mode of Delivery:
- Face-to-Face
- Next Intake:
- 2024/2025 September
- Contact Name:
- Contact Number:
- +353 (0)1 716 2580
- Fees:
- Fee Information
details available at MSc Statistical Data Science .
Career prospects on completion of the MA in Statistics 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. MA Statistics graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our MA Statistics graduates continues to be very strong both in Ireland and abroad.
Curricular information is subject to change
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
The MSc Statistics is aimed at students who have an undergraduate degree in statistics or a degree in a discipline related to statistics and with numerate skills. Examples include economics, finance, mathematics, physics, engineering, and computer science.
This programme is aimed at students who have an undergraduate numerate degree with a basic background of statistics, and who wish to gain a deeper understanding of statistics and of its key role in data science. The programme trains students in both applied and theoretical statistics, and prepares them well for a career either in industry or in academia. A wide variety of taught modules provide a thorough grounding in statistics; in addition, the students take a supervised research module to develop an individual research project to address a present-day statistical problem. We train 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, model 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.
- 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.
MSc Statistics (T020) Full Time
EU fee per year - € 9300
nonEU fee per year - € 22530
MSc Statistics (T069) Part Time
EU fee per year - € 5040
nonEU fee per year - € 14550
***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.
School of Mathematics and Statistics Application Process FAQ
These are the minimum entry requirements – additional criteria may be requested for some programmes
Faculty Profile
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.