MSc Mathematical Science

Graduate Taught (level 9 nfq, credits 90)

This programme is designed for mathematics and applied mathematics graduates with a passion for their subject and a desire to upskill to a level required to embark on a career in research. It is a versatile programme, giving you the opportunity to choose from a range of modules and projects from the different disciplines of Mathematics, Applied and Computational Mathematics and Statistics.

On successful completion of the programme you will have the knowledge, experience and confidence to pursue a PhD in mathematics, applied mathematics, statistics, or a related discipline, attained an advanced and modern mathematical training, developed excellent presentation skills and have acquired a much sought after qualification that can be applied to a wide variety of careers.

Download the UCD Science Graduate Taught Courses brochure (pdf)

  • School engages with research of international renown
  • Several members in the UCD School of Mathematical Sciences are involved in the UCD Complex Adaptive Systems Laboratory (CASL) and the Insight Centre for Data Analytics.
  • Opportunity to combine one or more disciplines from the mathematical sciences

Careers & Employability

Some of the careers chosen by our graduates include working as researchers in mathematics (both in academia and industry), actuarial consultants, risk analysts, meteorologists, IT consultants, and second- and third-level teaching. 

Prospective employers include Aquamarine Power, Alcatel-Lucent, Bureau Veritas, Campbell Scientific, Google, IBM, IFSC, Intel, Lloyds, Marine Institute, Met Éireann, Microsoft, Nokia, Norkom, Numerica Corporation, OpenHydro, Paddy Power, Philips, RIM, Simula Research and the Tyndall
National Institute.

Curricular information is subject to change

The UCD MSc Mathematical Science is designed for mathematics and applied mathematics graduates with a passion for their subject and a desire to up skill to a level required to embark on a career in research.

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

MSc Mathematical Science (T017) Full Time
EU          fee per year - € 8370
nonEU    fee per year - € 20440

***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 (usually a 4-year degree) in Statistics, Mathematics, Mathematical Physics, Applied Mathematics or Theoretical Physics, in a programme for which the course requirements are of comparable content and standard to that of the corresponding four-year UCD BSc Degree. 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. 
  • External or non- UCD applicants may be asked to provide further details on any Maths or Maths related modules taken
  • 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 

School of Mathematics and Statistics Application Process FAQ

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

Faculty Profile

Professor Frederic Dias, UCD School of Mathematics and Statistics
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 of 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.