Institution / University College Dublin
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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.

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 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

Demonstrate an in-depth understanding of mathematics and statistics

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

Confidently analyze and draw information from large quantities of data

Analyze and interpret data, find patterns and draw conclusions

Use the power of modern technology to augment mathematical and statistical problem solving

Work independently and as part of a team

Carry out research into a specific topic, including survey and synthesize the known literature

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

• 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 suffi cient 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.


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, 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.

Further enquiries

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

Subjects taught

Stage 1 - Option

Computational Science

Classical Mech. & Special Rel.

Oscillations in Mech Systems

Vector Integral & Differential Calculus

Analytical Mechanics

Advanced Mathematical Methods

Dynamical Systems

Foundations of Fluid Mechanics

Foundations of Quantum Mechanics

Partial Differential Equations

Electrodynamics & Gauge Theory

Environmental Fluids

Differential Geometry and Topology in Physics

Numerical Algorithms

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

Metric Spaces

Introduction to Topology

An Intro to Coding Theory

Galois Theory

Group Theory

Measure Theory & Integration

Stochastic Analysis

Inferential Statistics

Probability Theory

Linear Models I

Linear Models II

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:

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

Enrolment and start dates

Next Intake:2018/2019 September

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