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If you like maths and you aren’t totally certain what career you want to pursue eventually, this might be a good course choice for you. Mathematical skills are highly valued by employers and are easily transferable, so Mathematical Sciences with its three options is the perfect way to study something you like, while having a chance to think about your eventual career choice.
Why Study Mathematical Sciences at UL?
The programme is suited to students with an aptitude for mathematics who are interested in applying mathematics to problem solving in the real world. It is designed to provide a broad mathematical training that will allow you to work in any environment that requires strong analytical and problem solving skills. The programme involves an introductory two years, common to all students, when the fundamental mathematical tools are introduced. After two years, you will have the option of specialising in mathematics, statistics or computing. The programme also provides a theoretical grounding for students who wish to pursue postgraduate studies.
Entry route to Mathematical Sciences at UL is via LM124 Mathematics Common Entry.
Programme of Study
The programme is full time, of four years in duration. It includes a period of Cooperative Education during the spring and summer of the third year of the course where the skills that you have acquired are applied in an appropriate workplace. The first two years of the course provide a foundation in a broad range of areas including calculus, statistics, linear algebra, discrete mathematics, operations research, mechanics, computer science and mathematical modelling.
There is also an elective pair of modules in the first year in either (a) Computer Science or (b) Economics or (c) Finance/Accounting or (d) Biology or (e) Physics.
The third and fourth years of the programme give you the opportunity to specialise in one of the following options:
The mathematics stream is aimed at giving you a rounded appreciation of mathematics and the ability to approach problem solving with a mathematical mind. It develops the analytical skills acquired in the first two years using mathematical modelling of real world problems. Topics covered include linear algebra, fluid mechanics, dynamical systems, mathematical modelling and numerical solution of partial differential equations, perturbation methods, stochastic differential equations.
Statistics deals with the collection, presentation, and analysis of data application areas include marketing, product development and testing, finance, economics, sociology, medicine, and the experimental sciences. Topics covered range from the mathematical basis of statistics through to the use of computers in the analysis of large sets of data. The courses in this option include stochastic processes, statistical inference, data analysis, experimental design, quality control, time series analysis, stochastic differential equations and operations research.
The aim of this stream is to develop your understanding of the mathematical foundation of computing and to provide you with practical skills in the development of software systems. The courses in this option include systems analysis, data mining, algorithms, database systems and intelligent systems.
You will undertake a project in your final year that reflects your area of specialisation and, if possible, your Cooperative Education experience.
To find out more, email firstname.lastname@example.org
|Year 1||Semester 1||Semester 2||Vacation|
|MS4021||Calculus 1||MS4022||Calculus 2|
|MS4101||Mathematics Laboratory||MS4111||Discrete Mathematics 1|
|MS4131||Linear Algebra 1||MS4212||Data Analysis|
|One of:||One of:|
|CE4701||Computer Software 1||CE4702||Computer Software 2|
|CS4091||Programming 1||CS4092||Programming 2|
|Elective1-One of:||Elective2-One of:|
|AC4213||Financial Accounting||AC4214||Accounting for Financial Decision making|
|BY4001||Biology 1||BY4002||Biology 2|
|CS4111||Computer Science 1||CS4112||Computer Science 2|
|Year 2||Semester 3||Semester 4|
|MS4013||Linear Analysis||MS4014||Intro. to Numerical Analysis|
|MS4213||Probability Theory||MS4024||Numerical Computation|
|MS4403||Ordinary Differential Equations||MS4303||Operations Research 1|
|MS4613||Vector Analysis||MS4404||Partial Differential Equations|
|One of:||MS4414||Theoretical Mechanics|
|CE4703||Computer Software 3|
|CS4013||Object Oriented Development*|
For further details on options in Years 3 and 4 in Mathematics, Statistics and Computing, , e-mail email@example.com
Applicants are required to hold the established Leaving Certificate (or an approved equivalent) with a minimum of six subjects which must include:
Two H5 (Higher Level) grades and Four O6 (Ordinary Level) grades or four H7 (Higher Level) grades. Subjects must include Mathematics, Irish or another language, and English.
In addition, applicants must hold a minimum grade H3 in Mathematics. A Special Mathematics Examination will be offered at UL following the Leaving Certificate results for those students who did not achieve the Mathematics requirement.
We welcome applications from mature students. Mature applicants must apply through the Central Applications Office (CAO) by 1 February.
Recent graduates have undertaken a variety of Masters courses in Ireland and abroad, including the MSc in Mathematical Modelling at UL. Graduates have undertaken doctoral research, including some supported by the MACSI research centre at UL.
Graduates of the programme have been in considerable demand by industry, commerce and government to apply their analytical and computing skills in areas such as:
- Data analysis including market research, demographics and medical research
- Financial services including accounting, lending analysis and investment analysis
- Software development
- Manufacturing including production planning, quality control and research and development of new products.
- Physical modelling in industry or at a university
Want to find out more about possible careers with this degree? Click Here
This course offered me a great opportunity to become educated in a wide range of mathematical skills. Every module throughout the four years has challenged me in a unique way and developed core skills which are required in the workplace for mathematicians and statisticians.
For my co-op work placement, I was employed by Accenture in Dublin. Accenture are a global consultancy firm with 250,000 employees. I worked on the Accenture Analytics team who specialise in fraud and non-compliance for a wide array of companies ranging from financial institutions to utility providers and government departments. My placement offered me the opportunity to use skills and knowledge that I had developed in college and apply that to real life problems in large businesses. I developed basic office skills and vastly improved my interpersonal skills, which will be of huge benefit as I move out into the working world.
A Day in the Life of... an Analytics Consultant I chose this UL course because maths was my favourite subject in school, I enjoyed working with numbers and I’m the kind of person who likes a straight and concise answer. I also saw that the course did not pin me down to any one profession after college, giving me great freedom to choose what I wanted to do after my course and not before. My typical day can vary a lot. I’m responsible for working on small mathematical projects for clients as well as travelling all over the UK and Ireland to give training courses on how to use mathematical software for their needs.
During my time in UL, my co-op work placement was a brilliant experience in every way. I chose to go abroad and UL arranged for me to work with Philips Healthcare in The Netherlands. I worked as a Data Analysis Intern as part of the Logistics and Optimisation team. My role was to help my supervisor in finding cost-saving opportunities by analysing the transport of replacement medical parts around the world. On my placement I learned valuable data manipulation skills, improved my ability to present results to colleagues and also the inter-personal skills needed to function well in a team.
I chose the Bachelor of Science in Mathematical Sciences because maths was my best subject in school and I liked what I heard about the course when I attended the UL Open Days.
1st and 2nd year covers all the groundwork in maths and the subjects become more interesting and applicable in 3rd and 4th year when you pick your major. The FYP (Final Year Project) gives everyone the opportunity to specialise in an area that interests them. The course has a diverse range of subjects with practical implementation in the labs.
I spent my coop at AIB Global Treasury in the IFSC in Dublin and this really helped me in deciding which career path to take.