Graduate Taught (level 9 nfq, credits 120)
The M.A. in Mathematics is specifically designed to provide students with solid mathematical knowledge. Students acquire a much sought after qualification that can be applied to a wide variety of careers.
Wide selection of taught modules incorporating many areas of mathematics.
Exposure to state-of-the-art mathematical topics.
Opportunity for independent study in an area or application of interest through a minor thesis under the guidance of an individual supervisor.
The MA contains two streams – Mathematics or Applied and Computational Mathematics. Both streams offer an attractive alternative to the more standard 24-month pathway of the Higher Diploma followed by the MSc in Mathematical Sciences. On successful completion of the programme you will have the knowledge, experience and confidence to pursue a PhD in mathematics, or a related discipline, have attained an advanced and modern mathematical and computational training, developed excellent presentation skills and acquired a much soughtafter qualification that can be applied to a wide variety of careers in the quantitative, financial, and IT sectors.
Vision and Values Statement
This programme is aimed at graduates whose level of mathematical training is high, but below that of a four-year honours BSc degree in Mathematics, and who have demonstrated mathematical flair. It enables them to reach in sixteen months a level of mathematical knowledge broadly equivalent to that of MSc graduates. In the first part of the programme, students study background material appropriate to a four-year BSc, thereby enabling them as the course progresses to study mathematics at the graduate level. Additionally, the programme aims to equip the 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 algebra and analysis at the graduate level, as well as a broad understanding of areas of modern mathematics 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. Our graduates will be suitably qualified for research at the PhD level in an area of mathematics, 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 whom already have some mathematical training who 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.
Demonstrate an in-depth understanding of the foundations of mathematics, including graduate algebra and analysis
Demonstrate familiarity with the areas of mathematics currently under active research
Undertake excellent research at an appropriate level, including survey and synthesize the known literature
Use the language of logic to reason correctly and make deductions
Approach problems in an analytical, precise and rigorous way
Explore and manipulate abstract concepts
Apply mathematical reasoning and techniques to formulate and solve problems
Model real-world problems in a mathematical framework
Analyze and interpret data, find patterns and draw conclusions
Work independently and be able to pursue a research agenda
Give oral presentations of technical mathematical material at a level appropriate for the audience
Prepare a written report on technical mathematical content in clear and precise language
This programme is intended for applicants who hold a degree with high mathematical content such as Mathematics, Mathematics & Education, or Economics & Finance. An upper second class honours degree, or international equivalent is required.
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
Stage 1 - Core
Stage 1 - Option
Oscillations in Mech Systems
Vector Integral & Differential Calculus
Foundations of Fluid Mechanics
Foundations of Quantum Mechanics
Partial Differential Equations
Electrodynamics & Gauge Theory
Differential Geometry and Topology in Physics
Survey of Appl and Comp Math
Mathematica for Research
Gen Relativity & Black Holes
Weather and Climate
Advanced Fluid Mechanics
Calculus of Several Variables
Graphs and Networks
Linear Algebra 2 for the Mathematical Sciences
Groups, Rings and Fields
Advanced Linear Algebra
Functions of One Complex Variable
Cryptography: Theory & Practice
Intro to 1-D Dynamics
Q-Series And Application
Rank Metric Codes
Deadline Rolling *
* Courses will remain open until such time as all places have been filled, therefore early application is advised
MA Mathematics (F081) Full Time
EU fee per year - € 10350
nonEU fee per year - € 19200
MA Mathematics (F082) Part Time
EU fee per year - € 3610
***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.
Next Intake: 2019/2020 September
Post Course Info
Careers & Employability
The MA in Mathematics will give you the opportunity to develop numeracy, organisation and problem-solving skills; which are required in areas such as the trading floor of an investment bank, the mathematics classroom, predicting the weather and in the insurance industry. 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, second and third level teaching.
Prospective employers include Aquamarine Power, Alcatel-Lucent, Bureau Veritas, Campbell Scientific, IBM, IFSC, Intel, Google, Lloyds, Marine Institute, Met Eireann, Microsoft, Nokia, Norkom, Numerica Corporation, OpenHydro, Paddy Power, Phillips, RIM, Simula Research and the Tyndall Institute.