Course Title: Bachelor of Science (Honours) in Mathematical Sciences
2023 CAO Points: 292
Leaving Certificate Requirements
Minimum Number of
Minimum Grade in
English OR Irish
Other Grade Requirements
|# Or Applied Mathematics|
QQI/FET Award Required
1 OF THE FOLLOWING AWARDS:
5 DISTINCTIONS WHICH MUST INCLUDE 1 OF THE FOLLOWING:
C20139 / 5N1833 Mathematics
|Level 6: Full level 6 award in a relevant discipline|
In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at www.tudublin.ie/qqi
Applications from mature students (23+) are welcome. Further details at www.tudublin.ie/mature
English Language Requirements
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6 overall (or equivalent) with nothing less than 6 in each component.
Mathematical Sciences encompasses most areas of mathematics and statistics. In this course, you’ll acquire high-calibre analytical, problem-solving skills and the ability to apply a broad range of mathematical techniques and rigour to countless applications and industries.
You’ll gain scientific and analytical skills in mathematics as well as a capacity to solve real-life problems. The first two years will provide you with a sound foundation in mathematics, which will underpin subsequent work and will introduce you to topics in statistics and computer science that can be developed further in later stages through specialised modules.
A strength of the course is that the third and fourth years are designed in a modular fashion, which allows you to tailor your studies. You can choose topics from courses in pure and applied mathematics, statistics, operations research and financial mathematics.
In your final year project, you can engage in an in-depth study of a pertinent, interesting problem in mathematics.
Study Abroad Opportunities
In some semesters of the course, you have the option to study in other European institutions via Erasmus.
Through the six-month placement in Year 3, you’ll gain experience of using your analytical, modelling, problem-solving, and computer skills in a working environment.
Mathematicians and statisticians are some of the most sought-after professionals. Our graduates possess the transferrable skills that are required in the modern, technological workplace and are ready to succeed in rewarding and lucrative careers across a wide range of sectors. They are immensely flexible, ready to embark upon high-achieving careers in financial services, data analysis, statistics, ICT, applied technologies, teaching, and many other sectors. Please see possible careers below;
- Big Data Specialist
- Mathematical Modeller
- Data Analyst
- Numerical Analysis & Applications
- Ordinary Differential Equations
- Statistics III: Statistical Models
- Topics in Analysis
- Complex Analysis
- Classical Mechanics
- Algebraic Structures: Groups
- Introduction to Financial Mathematics
- Mathematics Practical
- Work Placement
- Network Analysis & Transportation
- Bayesian Learning
- Partial Differential Equations
- Applied Functional Analysis I
- Fluid Mechanics
- Coding Theory I
- Algebraic Structures: Rings & Fields
- Numerical Analysis
- Financial Mathematics I
- Regression Models I
- Linear Programming
- Dynamical Systems and Chaos
- Fourier Analysis and Wavelets
- Quantum Mechanics I
- Decision Theory and Games
- Differential and Integral Equations
- Applied Functional Analysis II
- Financial Mathematics II
- Regression Models II
- Integer Programming
- Industrial Statistics: Survival Analysis
- Coding Theory II
- Nonlinear Programming
- Queueing Theory and Markov Processes
- Quantum Mechanics II
- Case Studies in Industrial Modelling
The course strikes the perfect balance between pure mathematics and more practical aspects such as financial maths and statistics and computer-orientated modules.
On graduation, you may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.