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Industrial Mathematics / Matamaitic Thionsclaíoch

Course Title: Bachelor of Science (Honours) in Industrial Mathematics

Apply - Advanced Entry

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)

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.

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.

  • Actuary
  • Big Data Specialist
  • Data Analyst
  • Industrial R&D Roles
  • Mathematical Modeller
  • Mathematician
  • Mathematics Teacher
  • Quantitative Analyst in Financial Sector
  • Scientist

(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 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
  • 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
  • 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.

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

Exit after 3 years

Complete 4 years


Level 7 Bachelor of Science (Ord) 


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 course may proceed to postgraduate studies leading to the award of MSc, MPhil or PhD at research institutes and universities worldwide.

TU Code



Level 8


Bachelor of Science (Honours)


2 years

Number of Places



City Centre: Grangegorman


EU Fees

Non-EU Fees

Contact Us

Maev Maguire, Assistant Head of School