Bachelor of Science (Honours) in Mathematics and Statistics (options in Mathematics and Statistics, Mathematics and Statistics for Data Science)
Program Overview
Mathematics and Statistics
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Overview
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.
Course Title
Bachelor of Science (Honours) in Mathematics and Statistics (options in Mathematics and Statistics, Mathematics and Statistics for Data Science)
TU Code
TU874
CAO Point Range 2024
302−490
NFQ Level
Level 8
Award Type
Major
Award
Bachelor of Science (Honours)
ECTS Credits
240
Duration
4 years
Number of Places
35
Location
Grangegorman
Fees
EU Fees
Non-EU Fees
What is... Mathematics and Statistics?
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.
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.
Minimum Entry Requirements
Leaving Certificate Requirements
- Minimum Number of Subjects: 6
- Minimum Grade in Maths OR Applied Maths: O2/H6
- Minimum Grade in English OR Irish: O6/H7
QQI/FET Requirements
- QQI/FET Award Required: Level 5: CASLT / 5M3807 Laboratory Techniques, CCONT / 5M5010 Construction Technology, CCTXX Control Technology, CELTX Electronic Technology, CENGT / 5M2061 Engineering Technology, CITXX Information Technology, CCNMX / 5M2564 Computer Network & Maintenance, 5M0529 / 5M17817 Software Development, 5M0536 / 5M17814 Computer Systems & Networks
- Additional Requirements: 5 DISTINCTIONS WHICH MUST INCLUDE 1 OF THE FOLLOWING: C20139 / 5N1833 Mathematics, C20174 Mathematics for Engineering, C20175 Mathematics for Computing, 5N0556 / 5S17694 Maths for STEM, 5N0554 / 5N17782 Computational Methods & Problem Solving, 5N18396 Maths for Information Technology
Mature Applicants
Applications from mature students (23+) are welcome.
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.
Sample Timetable
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.
What are my career opportunities?
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.
- Mathematician
- Scientist
- Big Data Specialist
- Mathematical Modeller
- Data Analyst
- Actuary
Module Listing
Year One
- Semester 1:
- Algorithms [Mandatory]
- Discrete Mathematics I [Mandatory]
- Foundation Mathematics [Mandatory]
- Introduction to Scientific Python [Mandatory]
- Mathematical Laboratory [Mandatory]
- Mathematical Modelling I [Mandatory]
- Professional Development 1 [Mandatory]
- Semester 2:
- Calculus I [Mandatory]
- Linear Algebra I [Mandatory]
- Statistics I [Mandatory]
- Mathematical Modelling I [Mandatory]
- Mathematical Laboratory [Mandatory]
- Introduction to Mechanics with Python [Mandatory]
- Professional Development 1 [Mandatory]
Year Two
- 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:
- Operations Research [Mandatory]
- Numerical Methods [Mandatory]
- Mathematical Modelling II [Mandatory]
- Discrete Mathematics II [Mandatory]
- Introduction to Ordinary Differential Equations through Python [Mandatory]
- Introduction to Analysis [Mandatory]
- Professional Development II [Mandatory]
Year Three
- Semester 1:
- Numerical Analysis & Applications [Mandatory]
- Ordinary Differential Equations [Mandatory]
- Statistics III: Statistical Models [Mandatory]
- Mathematics Practical [Mandatory]
- Algebraic Structures: Groups [Elective]
- Bayesian Learning [Elective]
- Classical Mechanics [Elective]
- Complex Analysis [Elective]
- Introduction to Financial Mathematics [Elective]
- Network Analysis & Transportation [Elective]
- Topics in Analysis [Elective]
- Semester 2:
- Work Placement [Mandatory]
Year Four
- Semester 1:
- Partial Differential Equations [Mandatory]
- Project [Mandatory]
- 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:
- Project [Mandatory]
- 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]
Advanced Entry
Advanced Entry applications are accepted to this course. For further information on how to make an Advanced Entry application, please visit our CAO Hub. A full list of courses open for Advanced Entry are listed on the CAO website.
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.
What our students say
"The course strikes the perfect balance between pure mathematics and more practical aspects such as financial maths and statistics and computer-orientated modules."
Progression
On graduation, you may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.
Technological University Dublin: A Summary
Overview:
Technological University Dublin (TU Dublin) is a public university located in Dublin, Ireland. It offers a wide range of undergraduate and postgraduate programs across various disciplines. TU Dublin is known for its strong focus on practical learning and its commitment to providing students with the skills and knowledge they need to succeed in their chosen careers.
Services Offered:
Student Life and Campus Experience:
TU Dublin boasts a vibrant campus life with a diverse student body. Students can enjoy a range of activities and societies, including sports clubs, music groups, and drama societies. The university also offers a variety of support services, such as career counseling, academic advising, and student health services.
Key Reasons to Study There:
Practical Learning:
TU Dublin emphasizes practical learning, providing students with hands-on experience and industry connections.Diverse Programs:
The university offers a wide range of programs across various disciplines, catering to diverse interests and career aspirations.Vibrant Campus Life:
Students can enjoy a lively campus environment with numerous clubs, societies, and events.Strong Industry Links:
TU Dublin has strong connections with industry, providing students with opportunities for internships, placements, and career development.Academic Programs:
TU Dublin offers a wide range of undergraduate and postgraduate programs, including:
Undergraduate:
Arts, Business, Engineering, Science, Health Sciences, and more.Postgraduate:
Master's degrees, PhD programs, and professional development courses.Other:
TU Dublin has five locations in Dublin, including Grangegorman, Blanchardstown, Tallaght, City Centre, and Rathmines. The university is committed to sustainability and has over 400 sustainable businesses.
