Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

This programme is aimed at students who wish to gain a deep understanding of mathematics, applied mathematics and statistics at the graduate level and will equip such students with the skills necessary to carry out research at the frontier of mathematical knowledge. We expect our students to gain a thorough understanding of mathematics, applied mathematics and statistics at the graduate level, as well as a broad understanding of areas of modern mathematical science under active 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 mathematics, applied mathematics and statistics.  Our graduates will be suitably qualified for research at the PhD level in an area of mathematics, applied mathematics or statistics, and will be valued for their technical knowledge and research skills.  Equally, our graduates will be in demand by employers for their ability to use the tools they have learned to explain, describe and predict.We value students who already have a strong mathematical training and are motivated to take this understanding further. 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.

• Analyze and interpret data, find patterns and draw conclusions
• Apply mathematical reasoning and techniques to formulate and solve problems
• Approach problems in an analytical, precise and rigorous way
• Demonstrate an in-depth understanding of the foundations of mathematics, applied mathematics and statistics
• Demonstrate familiarity with the areas of mathematics, applied mathematics and statistics currently under active research
• Give oral presentations of technical mathematical material at a level appropriate for the audience
• Model real-world problems in a mathematical framework
• Prepare a written report on technical mathematical content in clear and precise language
• Undertake excellent research at an appropriate level
• Use the language of logic to reason correctly and make deductions
• Work independently and be able to pursue a research agenda

View All Modules Here

MSc Mathematical Science (T017) Full Time
EU          fee per year - € 8045
nonEU    fee per year - € 19825

***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.

• This programme is intended for applicants with a degree in Statistics, Mathematics, Mathematical Physics, Applied Mathematics or Theoretical Physics. An upper second class honours, or international equivalent is required.
• Applicants who have been awarded an upper second class honours or higher in the Higher Diploma in Mathematical Sciences are eligible for the programme.
• 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. 
• Students meeting the programme’s academic entry requirements but not the  English language requirements, may enter the programme upon  successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/ 

School of Mathematics and Statistics Application Process FAQ

These are the minimum entry requirements – additional criteria may be requested for some programmes 

Staff Profile
Professor Frederic Dias
ERC Advanced Grant Awardee and Science Foundation Ireland Principal Investigator in the UCD School of Mathematical Sciences

We study the formation of extreme waves on the surface of the ocean. These waves can be damaging and are a threat to navigation and possibly to wave energy converters in the future when they are operational. Better forecasting extreme waves is a key focus for my research. This area of research requires knowledge in statistics, fluid mechanics, wave motion, partial differential equations and numerical modelling.

• MA Mathematics FT
• MSc Mathematics FT
• HDip Mathematical Studies FT

The following entry routes are available:

* Courses will remain open until such time as all places have been filled, therefore early application is advised