Application Date 
Expand+Online application via CAO
Entry online application?
Applications should be made by 31st August (Please note, some popular courses may close earlier due to high demand)
You should follow instructions outlined on the CAO website with regard to ...
HideOnline application via CAO
Entry online application?
Applications should be made by 31st August (Please note, some popular courses may close earlier due to high demand)
You should follow instructions outlined on the CAO website with regard to submitting supporting documentation.
Please make sure to include the Advanced Entry Cover Sheet each time you send documents. This will save significant delays in CAO
uploading your documents to your application.
Failure to supply supporting documentation may result in your application being rejected.

Course Content 
Expand+What is... Industrial Mathematics?
Industrial Mathematics is a branch of mathematics that is concerned with developing mathematical methods and applying them to engineering, science and industry.
This programme has been carefully structured to ...
HideWhat is... Industrial Mathematics?
Industrial Mathematics is a branch of mathematics that is concerned with developing mathematical methods and applying them to engineering, science and industry.
This programme 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 programme is the analysis and solution of realworld mathematical problems.
It is designed to equip graduates with the skills and knowledge required to apply mathematical modelling and an analytical approach to realworld 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 programme, there is an emphasis on laboratorybased work and problembased learning via mathematical modelling, computer programming, computer applications, case studies and problemsolving, and the development of professional skills (e.g. communication skills, effective teamwork strategies and project management). The programme includes a sixmonth 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 programme to study in other european institutions via Erasmus.

Subjects Taught 
Expand+Year One
(Year 1 of TU874 Mathematical Sciences)
Foundation Mathematics
Calculus I
Discrete Mathematics I
Linear Algebra I
Statistics I
Algorithms
Introduction to Scientific Python
Introduction to Mechanics with Python
Mathematical Mode...
HideYear One
(Year 1 of TU874 Mathematical Sciences)
Foundation Mathematics
Calculus I
Discrete Mathematics I
Linear Algebra I
Statistics I
Algorithms
Introduction to Scientific Python
Introduction to Mechanics with Python
Mathematical Modelling I
Mathematics Laboratory
Year Two
(Year 2 of TU874 Mathematical Sciences)
Geometry
Calculus II
Introduction to Analysis
Practical Computing for Mathematics
Linear Algebra II
Discrete Mathematics II
Operations Research
Statistics II
Numerical Methods
Introduction to ODE’s through Scientific Python
Professional Development II
Mathematical Modelling II
Year Three
Numerical Analysis & Applications
Ordinary Differential Equations
Statistics
Mathematics Practical
Stochastic Mathematical Modelling
Financial Mathematics
(plus a specialist, optional module chosen from a selection of modules in pure & applied mathematics, statistics, operations research & financial mathematics)
Sixmonth Work Placement
Year Four
Partial Differential Equations
Financial Mathematics
Regression
Queuing Theory & Markov Processes
Case Studies in Industrial Modelling
Financial Mathematics
Industrial/Commercial Statistics
Project  a supervised, indepth study of a pertinent, interesting problem in mathematics
Plus specialist optional modules (two to be chosen) from a selection of topics in pure & applied mathematics, statistics, operations research & financial mathematics.

Careers or Further Progression 
Expand+What are my career opportunities?
Actuary
Big Data Specialist
Data Analyst
Industrial R&D Roles
Mathematical Modeller
Mathematician
Mathematics Teacher
Quantitative Analyst in Financial Sector
Scientist
Progression
Exit after 3 years
...
HideWhat are my career opportunities?
Actuary
Big Data Specialist
Data Analyst
Industrial R&D Roles
Mathematical Modeller
Mathematician
Mathematics Teacher
Quantitative Analyst in Financial Sector
Scientist
Progression
Exit after 3 years
Award: Level 7 Bachelor of Science (Ord)
Complete 4 years
Award:
Level 8 Bachelor of Science (Hons)
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 programme may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.
