Mathematics with Data Science

This new course from the University of Hull has been launched to give maths students the platform to open up careers in some of the UK's fastest growing sectors.

Through a high-quality degree taught by industry experts, you'll develop a strong foundation in all areas of advanced mathematics and computer programming, as well as gaining cutting-edge skills in the world of data science, machine learning and artificial intelligence.

Unlike traditional mathematics programmes, this course places more emphasis on assessing the abilities that employers are actually looking for. It's designed for students who are not only interested in learning the theory, but also the hands-on tools to tackle real-world challenges after you graduate.

Why study at Hull?

• Scholarships available: Up to £6,300 of financial support over three years is available via our Gillian Stead Scholarship for students with good A Level results (or equivalent)

• Driving the next industrial revolution: Become part of a tight-knit community at one of the largest providers or data science and AI degrees in England.

• State-of-the-art facilities fit for a rapidly advancing industry: Work on Viper – one of the fastest supercomputers in the UK – and develop your skills in our bespoke £4.5 million DAIM building.

Where could this take me?

This degree sets you up for a range of careers in classical mathematics industries such as data science, banking and finance, numerical computing, teaching and more. You could also use the strong foundation from this programme to progress into postgraduate routes in mathematics, data science and AI.

With less of a focus on exams and more emphasis on assessing skills you'll need in the future, you'll also graduate with skills that are highly transferable and sought after by all industries looking to flourish in tomorrow's digital world.

Core modules include

Calculus
Introduction to Programming in Python
Introduction to Machine Learning
Big Data and High Performance Computing
AI-Assisted Modelling of Advanced Problems

Optional modules include

Functions of a Complex Variable
Statistical Models
Partial Differential Equations
Mathematical Biology
Classical and Quantum Mechanics

You'll be assessed through a combination of written, practical and coursework assessments throughout your degree.

Written assessment typically includes exams and multiple choice tests.

Practical is an assessment of your skills and competencies. This could include presentations, school experience, work experience or laboratory work.

Coursework typically includes essays, written assignments, dissertations, research projects or producing a portfolio of your work.