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Bachelor of Science (with Honours) - BSc (Hons)
Mathematics with Data Science
University of Hull
Entry requirements
Here's what you will need to get a place on the Mathematics with Data Science course at University of Hull.
Select a qualification to see required grades
A level
B
Maths
Most popular A-levels studied
See who's studying at University of Hull. These students are taking Mathematics with Data Science or another course from the same subject area.
| Subject | Grade |
|---|---|
| Mathematics | B |
| Further Mathematics | C |
| Chemistry | C |
| Computer Science | C |
| Biology | C |
Course summary
What this course is about
UCAS code: G107
Here's what University of Hull says about its Mathematics with Data Science course.
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.
Source: University of Hull
Course details
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
Faculty of Science and Engineering
Location
The University of Hull | Hull
Duration
3 Years
Study mode
Full-time
Subjects
• Mathematics
Start date
14 September 2026
Application deadline
14 January 2026
Tuition fees
| Location | Fees |
|---|---|
| England | £9,790 per year |
| Scotland | £9,790 per year |
| Wales | £9,790 per year |
| Northern Ireland | £9,790 per year |
| Channel Islands | £9,790 per year |
| Republic of Ireland | £9,790 per year |
| International | £17,500 per year |
The modules you will study
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
How you will be assessed
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.
University of Hull student reviews
Showing 48 reviews
1st year student
1 year ago
Five stars: Excellent
1st year student
1 year ago
Five stars: Excellent
1st year student
1 year ago
Five stars: Excellent
1st year student
1 year ago
Five stars: Excellent
1st year student
1 year ago
All very clean
1st year student
1 year ago
Amazing staff
National Student Survey (NSS) scores at University of Hull
The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
Here you can see ratings from University of Hull students who took the Mathematics with Data Science course - or another course in the same subject area.
Select an option to see a detailed breakdown
Teaching on my course
92%
high
Teaching on my course
92%
high
How often does your course challenge you to achieve your best work?
92%
med
How good are teaching staff at explaining things?
92%
med
How often do teaching staff make the subject engaging?
92%
high
How often is the course intellectually stimulating?
92%
med
Learning opportunities
79%
low
Learning opportunities
79%
low
To what extent have you had the chance to bring together information and ideas from different topics?
73%
low
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
92%
med
How well has your course developed your knowledge and skills that you think you will need for your future?
83%
med
To what extent have you had the chance to explore ideas and concepts in depth?
91%
high
To what extent does your course have the right balance of directed and independent study?
67%
low
Assessment and feedback
88%
high
Assessment and feedback
88%
high
How well have assessments allowed you to demonstrate what you have learned?
92%
med
How fair has the marking and assessment been on your course?
100%
high
How often does feedback help you to improve your work?
67%
med
How often have you received assessment feedback on time?
92%
high
How clear were the marking criteria used to assess your work?
91%
high
Academic support
92%
med
Academic support
92%
med
How easy was it to contact teaching staff when you needed to?
92%
med
How well have teaching staff supported your learning?
100%
high
Organisation and management
79%
low
Organisation and management
79%
low
How well were any changes to teaching on your course communicated?
75%
low
How well organised is your course?
83%
med
Learning resources
61%
low
Learning resources
61%
low
How well have the IT resources and facilities supported your learning?
83%
low
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
50%
low
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
55%
low
Student voice
82%
med
Student voice
82%
med
How clear is it that students' feedback on the course is acted on?
64%
med
To what extent do you get the right opportunities to give feedback on your course?
100%
high
To what extent are students' opinions about the course valued by staff?
83%
med
How well does the students' union (association or guild) represent students' academic interests?
44%
low
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
89%
med
How well communicated was information about your university/college's mental wellbeing support services?
64%
low
Student information
See who's studying at University of Hull. These students are taking Mathematics with Data Science or another course from the same subject area.
Graduate prospects
What graduates do next
Facts and figures about University of Hull graduates who took Mathematics with Data Science - or another course in the same subject area.
Graduate statistics
75%
In a job where degree was essential or beneficial
95%
In work, study or other activity
90%
Say it fits with future plans
35%
Are utilising studies
Top job areas
25%
Business and public service associate professionals
25%
Finance Professionals
20%
Administrative occupations
10%
Business, Research and Administrative Professionals
Graduate statistics percentages are determined 15 months after a student graduates
Earnings after graduation
Earnings from University of Hull graduates who took Mathematics with Data Science - or another course in the same subject area.
Earnings
£25.6k
First year after graduation
£25.2k
Third year after graduation
£32.8k
Fifth year after graduation
Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Mathematics with Data Science.
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree
Discussions
Discussions
Students are talking about University of Hull on The Student Room.
University of Hull open days
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