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Industrial Mathematics / Matamaitic Thionsclaíoch


What is... Industrial Mathematics?

Industrial mathematics is an interesting and relevant branch of mathematics that studies the skills most desirable in the workplace. The 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 real-world mathematical problems.

What are my... Career Opportunities?

This programme has been specifically designed to address the need for highly-skilled, numerate, flexible graduates that are able to formulate and apply cutting-edge modelling and statistical analysis, and apply problem-solving techniques to real-world problems.

Mathematics graduates have a wide range of interesting careers available to them: e.g. in financial services, industrial R & D, medical statistics, teaching, software development, systems analysis, telecommunications, meteorology, civil service, environmental control & defence, economic & social research and a wide range of applied technologies.

What other options do I have after completion?

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 DIT or elsewhere in Higher Education.

Learning Outcomes: What will I Study?

This programme 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 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 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 programme 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.

Module Listing

Year One      

  • Foundation Mathematics
  • Calculus
  • Discrete Mathematics
  • Linear Algebra
  • Statistics
  • Algorithms
  • Introduction to Scientific Python
  • Introduction to Mechanics with Python
  • Mathematical Modelling
  • Mathematics Laboratory
  • Professional Development

Year Two

  • Geometry
  • Calculus
  • Real Analysis
  • Practical Computing for Mathematics
  • Linear Algebra
  • Discrete Mathematics
  • Operations Research
  • Statistics
  • Numerical Methods
  • Operating Systems
  • Professional Development
  • Mathematics Modelling

 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)
  • Six-month 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, in-depth 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.

Is there an Advanced Entry Option?

Yes. An application to any year after Year 1 is called Advanced Entry.

  • All applications are made through CAO and not directly to us here in TU Dublin. Click here to apply.
  • Closing dates for application vary. Most programmes will be open until 30th June but many programmes accept late applications.
  • Contact the School directly using details below to ask if a late application will be considered.

Are there study abroad options?

There is an option in some semesters of the programme to study in other european institutions via Erasmus.

Further Information

T: (01) 402 4842 (Maev Maguire)


What our Students say!

A degree in maths can open doors to many areas of employment and this allowed me to go into the course knowing that I would not be locked into any specific type of job on finishing college. The course allowed me to experience many different areas of maths, so when it came time to pick options for third year, I found it easy to choose because I had seen each area had practical uses and knew what areas of industry they would be suited to.