Mathematics & Statistics - Mathematical Science
Graduate Taught (level 9 nfq, credits 90)
This MSc programme combines a taught masters and a dissertation. It is an extremely versatile programme, giving students the opportunity, depending on their background, to choose from a range of modules and projects from the different disciplines of Mathematics, Applied and Computational Mathematics and Statistics within the UCD School of Mathematics and Statistics.
- 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
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
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.
Vision & Values Statement
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
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 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
Stage 1 Core
Stage 1 - Option
Mathematical Fluid Dynamics II ACM40070
Advanced Topics in Computational Science ACM40080
Riemannian Differential Geometry ACM40090
Numerical Algorithms ACM40290
High Performance Computing (ICHEC) ACM40640
Scientific Programming Concepts (ICHEC) ACM40660
Mathematica for Research ACM40730
Weather & Clim Num Modelling ACM40900
Maths of Complex Networks ACM40970
Uncertainty Quantification ACM41000
Introduction to Descriptive Set Theory MATH40350
Quadratic Forms & Wireless Com MATH40420
Special Topics I MATH40530
Special Topics II MATH40540
Special Topics III MATH40570
Stochastic Calculus MATH40690
Representation Theory of Finite Groups MATH40800
Bayesian Analysis STAT20180
Models - Survival Models STAT30080
Statistical Machine Learning STAT30270
Actuarial Statistics I STAT40020
Survival Models STAT40250
Mathematical Statistics STAT40320
Monte Carlo Inference STAT40400
Applied Statistical Modelling STAT40530
Stochastic Models STAT40680
Time Series Analysis - Act App STAT40700
1 year full-time
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.
Next Intake: 2020/2021 September
Post Course Info
Careers & Employability
Numeracy, organisation and problem-solving skills 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, BureauVeritas, 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.