Bachelor of Science in Mathematics and Physics

Have you ever wondered

• Why is the weather so difficult to predict?
• What do stock markets and earthquakes have in common?
• How can matter be a wave on atomic scales?
• How can wave mechanics produce the next generation of computers?
• How do you model the Universe in a computer?
• How does the spreading of a disease explain star formation?

All of these questions share something in common; they can be answered at the interface of mathematics and physics. Understanding both subjects equally allows a unique view of the world that lets you capture and analyse its true complexity in an elegant way; it allows you to explain it, see effects not yet detected nor realized, and even predict how it will behave. You will need to be comfortable with mathematics, and have an innate curiosity as to how the world works. You should also be interested in applying your skills in mathematics and physics to understanding and solving real world problems.

Entry route to Mathematics and Physics at UL is via:

LM124 Mathematics Common Entry

or

LM125 Physics Common Entry.

Why Study Mathematics and Physics at UL?

Traditional mathematical physics degrees in Ireland have been narrow in their scope. This course seeks to provide a genuine mixture of the two subjects. In addition to developing core and advanced mathematical skills, training will be provided in fundamental physics spanning mechanics to quantum mechanics, and in state-of-the-art applications of physics such as nanotechnology.

The analytical training and broad physical understanding of challenges likely to be encountered in an industrial setting will prove to be a valuable asset for prospective employers. The applied aspects in particular will ensure that, on graduation, you will be at an advantage in comparison to more traditional Maths Physics graduates, when seeking employment in the smart economy. In such an economy envisaged by the Government, academic and industrial research will be closely coupled.

Employability skills from this degree

• Designing and conducting observational and experimental studies
• Analysing and interpreting data, finding patterns and drawing conclusions
• Dealing with abstract concepts
• Presenting mathematical arguments and conclusions with accuracy and clarity
• Advanced numeracy and analysing large quantities of data
• Logical thinking
• Numeracy—mathematical modelling, interpreting and presenting information graphically, and using mathematics to find solutions to scientific problems
• IT skills, including specialist software packages and some programming
• Attention to detail
• Communication— conveying complex ideas and using technical language correctly