Mathematics & Statistics - Mathematical Science

HDip Mathematical Science

Graduate Taught (level 8 nfq, credits 60)

Taking the Higher Diploma in Mathematical Science will allow you complete the core components of a BSc Honours Degree in Mathematics or Mathematical Science. This course would equip you with the necessary background to pursue an MSc degree in Mathematics or Mathematical Sciences.

The UCD School of Mathematics and Statistics is a dynamic, multidisciplinary school spanning the disciplines of Mathematics, Applied and Computational Mathematics, Statistics and Actuarial Science.

Who should Apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

This programme is aimed at graduates whose level of mathematical training is high, but below that of the UCD BSc Degree Honours in Mathematics or Applied and Computational Mathematics, and who have demonstrated mathematical flair. It enables them to reach in one year a level of mathematical knowledge equivalent to that of BSc Honours graduates and thus, in particular, qualifies them to enter the MSc degree in Mathematics or Mathematical Sciences.

Vision & 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 the Mathematical Sciences, and who have demonstrated mathematical flair. It enables them to reach in one year a level of mathematical knowledge equivalent to that of BSc Honours graduates and thus, in particular, qualifies them to enter the MSc degree in Mathematics or Mathematical Sciences. The programme will give students the opportunity to gain a deep understanding of the concepts of modern mathematics and statistics, and a mastery of the associated skills and technologies. We expect our students to become autonomous inquisitive learners capable of formulating and creatively solving relevant problems in the language of mathematics and statistics. Our graduates will be in demand by employers and academic research institutes for their ability to use the tools they have learned to explain, describe and predict. We value students who are motivated to find the underlying mathematical causes and reasons for observations and patterns. 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
-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
-Carry out research into a specific topic, including survey and synthesize the known literature
-Confidently analyze and draw information from large quantities of data
-Demonstrate an in-depth understanding of mathematics and statistics
-Explore and manipulate abstract concepts
-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
-Use the language of logic to reason correctly and make deductions
-Use the power of modern technology to augment mathematical and statistical problem solving
-Work independently and as part of a team

Stage 1 - Option

Computational Science ACM20030
Classical Mech. & Special Rel. ACM20050
Oscillations in Mech Systems ACM20060
Vector Integral & Differential Calculus ACM20150
Analytical Mechanics ACM30010
Advanced Mathematical Methods ACM30020
Dynamical Systems ACM30190
Foundations of Fluid Mechanics ACM30200
Foundations of Quantum Mechanics ACM30210
Partial Differential Equations ACM30200
Electrodynamics & Gauge Theory ACM40010
Environmental Fluids ACM40070
Differential Geometry and Topology in Physics ACM40090
Numerical Algorithms ACM40290
Calculus of Several Variables MATH20060
Graphs and Networks MATH20150
Linear Algebra 2 for the Mathematical Sciences MATH20300
Groups, Rings and Fields MATH20310
Advanced Linear Algebra MATH30030
Functions of One Complex Variable MATH30040
Metric Spaces MATH30090
Introduction to Topology MATH30120
An Intro to Coding Theory MATH30180
Fourier Analysis MATH30350
Measure Theory and Integration MATH30360
Galois Theory MATH40080
Group Theory MATH40410
Stochastic Analysis MATH40480
Inferential Statistics STAT20100
Probability Theory STAT20110
Predictive Analytics I STAT30240

• The mathematics stream of this programme is especially intended for applicants with a degree in mathematical studies, economics and finance, a three-year honours degree in mathematics or a cognate discipline with a high mathematical content. An upper second class honours or the international equivalent is required.

• The applied and computational mathematics stream of this programme is especially intended for science and engineering graduates who have scored highly in their mathematics, applied mathematics or mathematical physics courses. An upper second class honours or the international equivalent is required.

• Other graduates who believe that their mathematical training provides sufficient background to cope with the programme may apply for entry to the Programme Coordinator.

• 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.

Apply Online

The following entry routes are available:

HDip Mathematical Science FT (T011)
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

1 year full-time.

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, and second- and third-level teaching.

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