Industrial Mathematics - Grangegorman
Industrial Mathematics is a branch of mathematics that is concerned with developing mathematical methods and applying them to engineering, science and industry.
| Award Name | Degree - Honours Bachelor (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | Technological University Dublin |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Honours Bachelor (Level 8 NFQ) | Major | Technological University Dublin | Level 8 NFQ |
Duration
2 years
Entry Requirements
Minimum Entry Requirements?
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.
Careers / Further progression
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. 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
Progression
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.
Further information
20
Advanced Entry
Advanced Entry applications are accepted to this course.
Applications are under the Advanced Entry category through the CAO.
For further information on how to make an application, please visit our CAO Hub
https://www.tudublin.ie/study/undergraduate/cao/entry-routes/advanced-entry/
If you have a query on Advanced Entry email us at admissions@tudublin.ie
*Apply via Application Weblink above
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 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 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.
Study Abroad Opportunities
There is an option in some semesters of the programme to study in other European institutions via Erasmus.
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 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 (TU873)
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.
Location Grangegorman
Contact Us
Maev Maguire, Assistant Head of School
maev.maguire@tudublin.ie
(01) 2205686