Course Title: Bachelor of Science (Honours) in Mathematics and Statistics (options in Mathematics and Statistics, Mathematics and Statistics for Data Science)
*** Previously Mathematical Sciences ***
Mathematics and Statistics provide the tools and techniques to find rigorous solutions to complex problems, to develop new frameworks for understanding, and to model and predict the world around us. They are fundamental to our knowledge of science, engineering and technology and are the bedrock of our current grasp of these disciplines and all the sectors to which they contribute. The programme encompasses the wide scope of mathematics and statistics and, 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.
Work Placement
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.
Leaving Certificate Requirements
Minimum Number of |
|
---|---|
Subjects |
Higher |
6 |
2 H5's |
Minimum Grade in |
|
Maths OR Applied Maths |
English OR Irish |
O2/H6 |
O6/H7 |
QQI/FET Requirements
QQI/FET Award Required |
Additional Requirements |
---|---|
Level 5: 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
Mature Applicants
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.
Click on the link below to view an indicative timetable for this course. Timetables are subject to change and up to date timetables will be provided to students on commencement.
View Sample Timetable
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;
- Mathematician
- Scientist
- Big Data Specialist
- Mathematical Modeller
- Data Analyst
- Actuary
Semester 1
- Foundation Mathematics [Mandatory]
- Discrete Mathematics I [Mandatory]
- Mathematical Modelling I [Mandatory]
- Mathematical Laboratory [Mandatory]
- Introduction to Scientific Python [Mandatory]
- Algorithms [Mandatory]
- Professional Development 1 [Mandatory]
Semester 2
Semester 1
- Linear Algebra II [Mandatory]
- Statistics II [Mandatory]
- Mathematical Modelling II [Mandatory]
- Geometry [Mandatory]
- Practical Computing for Mathematics [Mandatory]
- Calculus II [Mandatory]
- Professional Development II [Mandatory]
Semester 2
Semester 1
- Numerical Analysis & Applications [Mandatory]
- Ordinary Differential Equations [Mandatory]
- Statistics III: Statistical Models [Mandatory]
- Mathematics Practical [Mandatory]
- Topics in Analysis [Elective]
- Complex Analysis [Elective]
- Classical Mechanics [Elective]
- Algebraic Structures: Groups [Elective]
- Introduction to Financial Mathematics [Elective]
- Network Analysis & Transportation [Elective]
- Bayesian Learning [Elective]
Semester 2
Semester 1
- Applied Functional Analysis I [Elective]
- Fluid Mechanics [Elective]
- Coding Theory I [Elective]
- Algebraic Structures: Rings & Fields [Elective]
- Numerical Analysis [Elective]
- Financial Mathematics I [Elective]
- Regression Models I [Elective]
- Linear Programming [Elective]
- Dynamical Systems and Chaos [Elective]
- Fourier Analysis and Wavelets [Elective]
- Quantum Mechanics I [Elective]
- Decision Theory and Games [Elective]
- Queueing Theory and Markov Processes [Elective]
Semester 2
- Differential and Integral Equations [Elective]
- Applied Functional Analysis II [Elective]
- Cryptology [Elective]
- Financial Mathematics II [Elective]
- Regression Models II [Elective]
- Integer Programming [Elective]
- Industrial Statistics: Survival Analysis [Elective]
- Coding Theory II [Elective]
- Nonlinear Programming [Elective]
- Quantum Mechanics II [Elective]
- Case Studies in Industrial Modelling [Elective]
We are currently closed for Advanced Entry Applications. The courses that will be open for advanced entry will be listed on the CAO website in January 2025. For information on how to make an Advanced Entry application, please visit our CAO Hub. If this course opens for advanced entry, the following will apply.
To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:
- To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.
- For entry to Year 3, you must demonstrate that you have met the learning outcomes for Years 1 and 2.
- For entry to Year 4, you must demonstrate that you have met the learning outcomes for Years 1, 2, and 3.
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.
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.