|Study location||United Kingdom, Clifton campus|
|Type||Bachelor courses, full-time|
|Nominal duration||4 years|
|Tuition fee||To be confirmed|
High school / secondary education (or higher)
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
At least 1 reference(s) should be provided.
A motivation letter must be added to your application.
The emphasis of this course is on the systematic understanding and proper application of mathematical and statistical theories and techniques. You’ll gain knowledge and understanding through the use of professional mathematical and statistical software.
Why choose this course?
You will benefit from an undergraduate master’s level course where you will develop a deep knowledge and systematic understanding of maths and its applications. The course will equip you with analytic problem-solving skills and other transferable skills necessary for a wide range of careers in industry. You will also acquire specialist knowledge and skills to prepare you for further study and research.
A key feature of the course is problem solving, which is designed to develop your analytic, investigation, professional and transferable skills. You will apply these skills in your final year project.
You also have the option of a 12 month paid work placement in the third year, which could give you an additional award of a Diploma in Professional Practice upon completion.
What will I study?
This course gives you the option to tailor part of your learning towards your own personal interests and preferences with selected modules from pure mathematics, applied mathematics and statistics.
Introduction to numerical methods
Introduction to algebra
Vector algebra and calculus
Foundations and Investigations in Mathematics
Differential equations and transform methods
Numerical methods for ordinary differential equations
Probability and statistical inference
Linear algebra and its applications
Differential and integral equations
Numerical analysis and dynamical systems
Research methodology and ethics
Choose one module from:
Plus choose one module from:
Topics in applied mathematics
Topics in pure mathematics
MMath research project
Plus, choose three modules from:
Coding theory and cryptography
Computational statistics and data analysis
Topics in mathematical biology.
There is a growing need for skilled mathematicians in all areas of industry. Skills such as numeracy and reasoning, together with the analytical approach to problem solving that you will acquire are highly sought after by employers.
If you have ambitions to progress into a professional scientific career in industry or academia, then this course is for you.