Course Title: Bachelor of Science (Honours) in Industrial Mathematics
Note: This course is open for Advanced Entry applications only.
Industrial Mathematics is a branch of mathematics that is concerned with developing mathematical methods and applying them to engineering, science and industry.
This course has been carefully structured to offer the training, transferable skills and knowledge that employers in the commercial, financial, industrial and public sectors seek in graduates. A particular focus of the course is the analysis and solution of real-world mathematical problems.
It is designed to equip graduates with the skills and knowledge required to apply mathematical modelling and an analytical approach to real-world problems in industry.
Years 1 and 2, on TU874, give a broad basis of subjects in applied and pure mathematics, statistics, and operational research. Introducing mathematical modelling and relevant topics in computing are also important features of years 1 and 2. Years 3 and 4 consist of advanced modules in mathematical modelling, financial mathematics, operations research and mathematical statistics. Many of these modules integrate industry relevant software.
Throughout the course, there is an emphasis on laboratory-based work and problem-based learning via mathematical modelling, computer programming, computer applications, case studies and problem-solving, and the development of professional skills (e.g. communication skills, effective team-work strategies and project management). The course includes a six-month work placement during year 3 enabling students to experience a working environment and gain experience of using their analytical, problem solving and computer skills.
Study Abroad Opportunities
There is an option in some semesters of the course to study in other European institutions via Erasmus.
Entry to the course is via TU874 Mathematical Sciences
4 years duration – first two years are on TU874 and then transfer to year 3 of TU873 (2 years)
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.
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;
- Actuary
- Big Data Specialist
- Data Analyst
- Industrial R&D Roles
- Mathematical Modeller
- Mathematician
- Mathematics Teacher
- Quantitative Analyst in Financial Sector
- Scientist
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]
- Introduction to Financial Mathematics [Mandatory]
- Mathematics Practical [Mandatory]
- Bayesian Learning [Mandatory]
- Topics in Analysis [Elective]
- Complex Analysis [Elective]
- Classical Mechanics [Elective]
- Algebraic Structures: Groups [Elective]
- Network Analysis & Transportation [Elective]
Semester 2
Semester 1
- Partial Differential Equations [Mandatory]
- Financial Mathematics I [Mandatory]
- Regression Models I [Mandatory]
- Project [Mandatory]
- Queueing Theory and Markov Processes [Mandatory]
- Applied Functional Analysis I [Elective]
- Fluid Mechanics [Elective]
- Coding Theory I [Elective]
- Algebraic Structures: Rings & Fields [Elective]
- Numerical Analysis [Elective]
- Linear Programming [Elective]
- Dynamical Systems and Chaos [Elective]
- Fourier Analysis and Wavelets [Elective]
- Quantum Mechanics I [Elective]
- Decision Theory and Games [Elective]
Semester 2
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.
My work placement as part of the industrial Mathematics course helped me secure a job in an exciting field once I graduated.... technical and problem solving skills I developed during my time in the Industrial Mathematics course help me solve real world business problems on a daily basis. I found the lecturers to be very approachable, friendly and helpful.
Graduates will have developed a capacity for independent study and be in a good position to progress to postgraduate study and research. In particular, graduates who reach the appropriate honours standard will be eligible to undertake masters degrees or research degrees in the School of Mathematical Sciences, in TU Dublin or elsewhere in Higher Education.
Graduates of this course may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.