Course Name 
Mathematical Science 
Course Provider 
University College Dublin 
Course Code 
T017 
Course Type 
Postgraduate 
Qualifications 
Award Name  NFQ Classification  Awarding Body  NFQ Level 
Degree  Masters (Level 9 NFQ)
More info...

Major 
National University of Ireland 
Level 9 NFQ 

Apply To 
Course provider 
Attendance Options 
Full time, Part time, Daytime 
Location (Districts) 
Belfield 
Qualification Letters 
MSc 
Enrolment and Start Dates Comment 
Next Intake:2019/2020 September

Application Date 
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
The following entry routes are available:
MSc Mathematical Science FT (T017)
Duration 1 Years
Attendance Full Time
Deadline Rolling *
* Courses will remain open until such time as all places have been filled, therefore early application is advised 
Application Weblink 
Web Page  Click Here 
Duration 
1 year fulltime 
Course Fee 
MSc Mathematical Science (T017) Full Time
EU fee per year  € 7760
nonEU fee per year  € 19200
***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 fulltime, selffunding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships. 
Link to Course Fee 
Web Page  Click Here 
Entry Requirements 
Expand+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 ...
HideThis 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.

Course Content 
Expand+MSc 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 to choose from a range of modules and pr...
HideMSc 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 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
Vision and 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.
Programme Outcomes
Demonstrate an indepth 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
Undertake excellent research at an appropriate level
Use the language of logic to reason correctly and make deductions
Approach problems in an analytical, precise and rigorous way
Apply mathematical reasoning and techniques to formulate and solve problems
Model realworld 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

Subjects Taught 
Expand+Stage 1  Core
Dissertation
MATH40190
Stage 1  Option
Topics in Computational Science and Machine Learning
ACM40080
Numerical Algorithms
ACM40290
High Performance Computing (ICHEC)
ACM40640
ɩ...
HideStage 1  Core
Dissertation
MATH40190
Stage 1  Option
Topics in Computational Science and Machine Learning
ACM40080
Numerical Algorithms
ACM40290
High Performance Computing (ICHEC)
ACM40640
Scientific Programming Concepts (ICHEC)
ACM40660
Survey of Appl and Comp Math
ACM40690
Mathematica for Research
ACM40730
Weather and Climate
ACM40770
Transferable Skills
ACM40810
Advanced Fluid Mechanics
ACM40890
Uncertainty Quantification
ACM41000
Special Topics I
MATH40530
Special Topics II
MATH40540
Special Topics III
MATH40570
Intro to 1D Dynamics
MATH40580
Special Topics IV
MATH40590
QSeries And Application
MATH40600
Rank Metric Codes
MATH40610
Models  Survival Models
STAT30080
Statistical Machine Learning
STAT30270
Actuarial Statistics I
STAT40020
Survival Models
STAT40250
Mathematical Statistics
STAT40320
Bayesian Analysis
STAT40380
Bayesian Analysis
STAT40390
Monte Carlo Inference
STAT40400
Monte Carlo Inference
STAT40410
Applied Statistical Modelling
STAT40530
Statistical Machine Learning
STAT40590
Stochastic Models
STAT40680
Time Series Analysis  Act App
STAT40700

Number of Credits 
90 
Careers or Further Progression 
Expand+Careers & Employability
Numeracy, organisation and problemsolving 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 cho...
HideCareers & Employability
Numeracy, organisation and problemsolving 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, AlcatelLucent, 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.

Further Enquiries 
Contact Name: Valerie Kendlin
Contact Number:+353 (0)1 716 2452 
Course Web Page 
Web Page  Click Here 

