Programme Overview:
- Duration:
- 1 Years / 2 Years
- Attendance:
- Full Time / Part Time
- Mode of Delivery:
- Face-to-Face
- Next Intake:
- 2023/2024 September
- Contact Name:
- Contact Number:
- +353 (0)1 716 2580
- Fees:
- Fee Information
On completion of the MSc Statistics, you will be able to demonstrate in-depth understanding of statistical concepts, apply basic statistical reasoning, techniques and models in the analysis of real data and employ technical computing skills. This programme is aimed at students who have an undergraduate degree in Statistics or a degree in a discipline related to Statistics and with numerate skills.
Compulsory modules are intended to ensure that all students have appropriate basic statistical skills, knowledge and experience, while optional modules provide depth and exposure to the diverse range of statistical applications and methods. This latter aspect provides you with the opportunity to specialise in specific areas. The major project provides you with the chance to work extensively on either theoretical or practical problems.
Download the UCD Science Graduate Taught Courses brochure (pdf)
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, O2, and SPSS. Demand for graduates continues to be 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
This programme is aimed at students who have an undergraduate degree which has a strong focus on statistics and/or mathematics, and who wish to gain a deeper understanding of the subject. The programme trains students in both applied and theoretical statistics, and prepares them well for a career either in industry or in academia. 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. 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.
MSc Statistics (T020) Full Time
EU fee per year - € 8790
nonEU fee per year - € 21460
MSc Statistics (T069) Part Time
EU fee per year - € 4800
nonEU fee per year - € 13860
***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
Graduate Profile
Valda Murphy, Project Lead, Novartis
I am glad that I decided to take the MSc in Statistics in UCD. It had a strong theoretical foundation and gave me an education in how to apply statistics. My research project inspired me to go into the area of medical statistics after graduation. The course served as a launch pad for my career in pharmaceutical statistics where I now work as a project lead, overseeing the quantitative aspects of several drugs in development.
The following entry routes are available:
* Courses will remain open until such time as all places have been filled, therefore early application is advised