Stand out to employers with a strong understanding of how key approaches in applied maths, machine learning and data science can help solve real-world problems.
The cutting-edge application of mathematics in industry incorporates modelling, analysis and interpretation using methods from applied mathematics together with the rapidly growing areas of machine learning and data science. We’ll provide you with essential skills for a career as an applied mathematician working in a range of industries.
Who this course is for
If you’re a graduate in mathematics or a highly mathematical discipline, who would like to develop and apply mathematical and computational skills to tackle complex real-world problems, this course is for you. The taught stage provides training in machine learning, statistics, mathematical modelling, computational mathematics and collaborative problem-solving in industry. The dissertation stage allows you to practice these skills with one of our industrial partners.
Course highlights
You should have a first or strong second-class bachelor’s honours degree or international equivalent.
To apply for this course, you should have an undergraduate degree in mathematics, physics or engineering.
We will also consider those with an undergraduate degree in other disciplines provided there is a substantial mathematical component.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
For fees and funding options, please visit website to find out more
Mathematics and data are fundamental to modern science and many industries are looking for graduates who can work across these fields. You’ll also have acquired the essential foundation for further postgraduate study and research within related fields. Our dedicated careers team offers individual guidance to help you decide between employment and further study.
Compulsory course units
These compulsory units are currently being studied by our students, or are proposed new units.
Semester 1
Semester 2
Summer
Optional course units
These are examples of optional units currently being studied by our students, or are proposed new units.
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