BSc Mathematics with Physics
Interactions between mathematics and physics have led to a range of weird and wonderful advances in the sciences, from elementary particle theory to general relativity and non-Euclidean geometry, to the understanding of chaos. At Essex, your ways of thinking will be shifted as we teach you about the cosmos, the symmetries of quarks and the complexities of quantum physics.
On our BSc Mathematics with Physics course you can study a wide range of topics, such as:
- Pure mathematics, including geometry, algebra, analysis and number theory
- Quantum mechanics, electronics and analytical mechanics
- Further applied mathematical topics such cryptography, mathematical modelling, differential equations and dynamical systems
As well as these mathematical topics, your degree will develop your programming skills in languages such as Python, and you will learn to solve sophisticated problems using computational toolkits such as Matlab, Maple and R.
This course can lead to employment opportunities within business, commerce, education, engineering, government service, industry and research as well as from the wider economy.
Interactions between mathematics and physics have led to a range of weird and wonderful advances in the sciences, from elementary particle theory to general relativity and non-Euclidean geometry, to the understanding of chaos. At Essex, your ways of thinking will be shifted as we teach you about the cosmos, the symmetries of quarks and the complexities of quantum physics.
On our BSc Mathematics with Physics course you can study a wide range of topics, such as:
- Pure mathematics, including geometry, algebra, analysis and number theory
- Quantum mechanics, electronics and analytical mechanics
- Further applied mathematical topics such cryptography, mathematical modelling, differential equations and dynamical systems
As well as these mathematical topics, your degree will develop your programming skills in languages such as Python, and you will learn to solve sophisticated problems using computational toolkits such as Matlab, Maple and R.
This course can lead to employment opportunities within business, commerce, education, engineering, government service, industry and research as well as from the wider economy.
