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Mathematical Science

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 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 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

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 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

Entry requirements

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.

Duration

1 year full-time

Careers or further progression

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.

Further enquiries

Contact Name: Valerie Kendlin
Contact Number:+353 (0)1 716 2452

Subjects taught

Stage 1 - Core

Dissertation
MATH40190

Stage 1 - Option

Advanced Mathematical Methods
ACM30020

Numerical Algorithms
ACM40290

Numerical Weather Prediction
ACM40520

High Performance Computing (ICHEC)
ACM40640

Scientific Programming Concepts (ICHEC)
ACM40660

Mathematica for Research
ACM40730

Weather and Climate
ACM40770

Advanced Fluid Mechanics
ACM40890

Uncertainty Quantification
ACM41000

Operator Theory
MATH40160

Quadratic Forms & Wireless Com
MATH40420

Special Topics I
MATH40530

Special Topics II
MATH40540

Special Topics III
MATH40570

Intro to 1-D Dynamics
MATH40580

Special Topics IV
MATH40590

Models - Survival Models
STAT30080

Statistical Data Mining
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 Data Mining
STAT40590

Stochastic Models
STAT40680

Time Series Analysis - Act App
STAT40700

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

Enrolment and start dates

Next Intake:2018/2019 September

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