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Mathematics with Data Science at University of Hull - UCAS

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Course summary

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.

Modules

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

Assessment method

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.


How to apply

Application codes

Course code:
G107
Institution code:
H72
Campus name:
The University of Hull
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Applicants with other qualifications are welcome to apply.


English language requirements

TestGradeAdditional details
IELTS (Academic)6This course requires IELTS 6.0 overall, with at least 5.5 in each skill. For other English language proficiency qualifications accepted by the University please visit www.hull.ac.uk
Institution's Own Test60% overall (with minimum 55% in each skill)

Please click below for a list of the English language qualifications we accept.

https://www.hull.ac.uk/Choose-Hull/Study-at-Hull/Admissions/English-language-requirements.aspx


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

Republic of Ireland £9535 Year 1
England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
International £17500 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics with Data Science at University of Hull - UCAS