Course name
University name or location
Topic or category
Find a course
Search, shortlist and compare thousands of courses to find that perfect one.
Where to study
See what makes a university special and discover where you belong.
Find a university
Search by name or city.
Get Advice
Get tips, tricks and wise words from students and experts at each stage.
Browse advice
A-level choices
Accounting personal statement examples
Law degree
Revision help
Oxbridge applications
Ucas application
Student life
Student finance
Browse all advice
Popular right now
Can you speak lawyer?
What is a university lecture like?
Law degree or no law degree - should you go to law school?
What A-levels do you need to study law?
Six things you need to know before making your final A-level choices
What university is really like
Why it's worth joining societies at uni
What students wish they’d known about postgrad study
Bachelor of Science (with Honours) - BSc (Hons)
Mathematics and Statistics with Data Science
University of Reading
Entry requirements
Here's what you will need to get a place on the Mathematics and Statistics with Data Science course at University of Reading.
Select a qualification to see required grades
A level
A,B,C
including Mathematics at grade A. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A level. (e.g. BBC with Maths at B or ABD with Maths at either A or B).
Tuition fees
| Location | Fees |
|---|---|
| England | £9,535 per year |
| Scotland | £9,535 per year |
| Wales | £9,535 per year |
| Northern Ireland | £9,535 per year |
| Channel Islands | £9,535 per year |
| Republic of Ireland | £9,535 per year |
| EU | £29,950 per year |
| International | £29,950 per year |
Course summary
What this course is about
UCAS code: GG13
Here's what University of Reading says about its Mathematics and Statistics with Data Science course.
Develop the skills needed to be a quantitative scientist with our BSc Mathematics and Statistics with Data Science degree.
This three-year course includes modules in all three subject areas—mathematics, statistics, and data science—so you will be able to work confidently in all three disciplines and bridge the gaps between them.
Vast amounts of data are collected about almost every aspect of the world. Data science and machine learning are now part of our everyday lives; they are applied to process and interpret this data, perform in-depth analyses to extract valuable information, and build artificial intelligence (AI) models.
Expertise in data science, statistics and mathematics are thus becoming increasingly important in a wide range of areas including finance and business, climate science, medicine and the civil service.
This course, taught by the University of Reading’s Department of Mathematics and Statistics, has been designed to develop your expertise in mathematics and statistics theory. You’ll also build your knowledge of applying statistics and data science methods to real-world problems and increasingly complex data.
98% of our research is world-leading or internationally excellent, and 100% of our research impact has been classed as outstanding or very considerable (REF 2021, combining 4-star and 3-star submissions – Mathematical Sciences).
For more information, please visit the programme page: https://www.reading.ac.uk/ready-to-study/study/subject-area/mathematics-ug/bsc-mathematics-and-statistics-with-data-science
Course details
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
School of Mathematical, Physical and Computational Sciences
Location
Main Site | Reading
Duration
3 Years
Study mode
Full-time
Subjects
• Mathematics
• Statistics
Start date
October 2025
Application deadline
January 29, 2025
The modules you will study
The following modules have been approved in principle for delivery in 2025/26.
Please note that as part of our current curriculum improvement process, all modules require final University approval and may be subject to change.
Core modules for this course:
- Real Analysis 1
- Calculus
- Foundations of Mathematics
- Linear Algebra
- Mathematical Communication
The University cannot guarantee that all optional modules will be available to all students who may wish to take them. Further information about the content of the final approved modules will be available in the summer of 2024. We suggest you regularly revisit our course page during this time to ensure you have the most up-to-date information regarding the modules offered on this programme.
Check our website for more details about the course structure.
University of Reading reviews
Showing 105 reviews
1st year student
Four stars: Great
1 year ago
1st year student
Three stars: Good
1 year ago
1st year student
Three stars: Good
1 year ago
1st year student
Three stars: Good
1 year ago
1st year student
Four stars: Great
1 year ago
1st year student
Four stars: Great
1 year ago
National Student Survey (NSS) scores
The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
The Mathematics and Statistics with Data Science course at University of Reading features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni
Select an option to see a detailed breakdown
Teaching on my course
88%
med
Teaching on my course
88%
med
How often does your course challenge you to achieve your best work?
93%
high
How good are teaching staff at explaining things?
98%
high
How often do teaching staff make the subject engaging?
79%
med
How often is the course intellectually stimulating?
85%
low
Learning opportunities
85%
med
Learning opportunities
85%
med
To what extent have you had the chance to bring together information and ideas from different topics?
79%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
96%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
80%
med
To what extent have you had the chance to explore ideas and concepts in depth?
89%
high
To what extent does your course have the right balance of directed and independent study?
82%
med
Assessment and feedback
85%
med
Assessment and feedback
85%
med
How well have assessments allowed you to demonstrate what you have learned?
83%
med
How fair has the marking and assessment been on your course?
98%
high
How often does feedback help you to improve your work?
84%
high
How often have you received assessment feedback on time?
91%
med
How clear were the marking criteria used to assess your work?
72%
med
Academic support
96%
high
Academic support
96%
high
How easy was it to contact teaching staff when you needed to?
98%
high
How well have teaching staff supported your learning?
95%
high
Organisation and management
96%
high
Organisation and management
96%
high
How well were any changes to teaching on your course communicated?
95%
high
How well organised is your course?
98%
high
Learning resources
92%
med
Learning resources
92%
med
How well have the IT resources and facilities supported your learning?
96%
high
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
90%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
91%
med
Student voice
76%
med
Student voice
76%
med
How clear is it that students' feedback on the course is acted on?
57%
low
To what extent do you get the right opportunities to give feedback on your course?
91%
high
To what extent are students' opinions about the course valued by staff?
82%
med
How well does the students' union (association or guild) represent students' academic interests?
52%
low
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
84%
med
How well communicated was information about your university/college's mental wellbeing support services?
71%
low
Select an option to see a detailed breakdown
Teaching on my course
88%
med
Teaching on my course
88%
med
How often does your course challenge you to achieve your best work?
92%
high
How good are teaching staff at explaining things?
97%
high
How often do teaching staff make the subject engaging?
77%
med
How often is the course intellectually stimulating?
84%
low
Learning opportunities
85%
med
Learning opportunities
85%
med
To what extent have you had the chance to bring together information and ideas from different topics?
80%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
96%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
79%
med
To what extent have you had the chance to explore ideas and concepts in depth?
89%
high
To what extent does your course have the right balance of directed and independent study?
83%
med
Assessment and feedback
85%
med
Assessment and feedback
85%
med
How well have assessments allowed you to demonstrate what you have learned?
83%
med
How fair has the marking and assessment been on your course?
97%
high
How often does feedback help you to improve your work?
85%
high
How often have you received assessment feedback on time?
91%
med
How clear were the marking criteria used to assess your work?
73%
med
Academic support
96%
high
Academic support
96%
high
How easy was it to contact teaching staff when you needed to?
97%
high
How well have teaching staff supported your learning?
95%
high
Organisation and management
96%
high
Organisation and management
96%
high
How well were any changes to teaching on your course communicated?
94%
high
How well organised is your course?
97%
high
Learning resources
92%
med
Learning resources
92%
med
How well have the IT resources and facilities supported your learning?
96%
high
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
91%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
90%
med
Student voice
76%
med
Student voice
76%
med
How clear is it that students' feedback on the course is acted on?
56%
low
To what extent do you get the right opportunities to give feedback on your course?
90%
high
To what extent are students' opinions about the course valued by staff?
81%
med
How well does the students' union (association or guild) represent students' academic interests?
53%
low
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
83%
med
How well communicated was information about your university/college's mental wellbeing support services?
71%
low
Student information
The Mathematics and Statistics with Data Science course at University of Reading features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Physics | C | |||||
| Further Mathematics | C | |||||
| Economics | B | |||||
| Chemistry | C | |||||
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Physics | C | |||||
| Further Mathematics | C | |||||
| Economics | B | |||||
| Chemistry | C | |||||
Graduate prospects
What graduates do next
The Mathematics and Statistics with Data Science course includes content from more than one subject area. Choose an option below for information about University of Reading graduates across each of those subject areas.
Graduate statistics
75%
In a job where degree was essential or beneficial
90%
In work, study or other activity
80%
Say it fits with future plans
25%
Are utilising studies
Top job areas
20%
Business and public service associate professionals
15%
Finance Professionals
15%
Teaching Professionals
10%
Information Technology Professionals
Graduate statistics
80%
In a job where degree was essential or beneficial
90%
In work, study or other activity
80%
Say it fits with future plans
30%
Are utilising studies
Top job areas
20%
Business and public service associate professionals
20%
Finance Professionals
15%
Teaching Professionals
10%
Protective service occupations
Graduate statistics percentages are determined 15 months after a student graduates
Earnings after graduation
Earnings from University of Reading graduates who took Mathematics and Statistics with Data Science - or another course in the same subject area.
Earnings
£26.6k
First year after graduation
£33.6k
Third year after graduation
£40.2k
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 and Statistics 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 Reading on The Student Room.
Chat with University of Reading
Our award-winning green campuses are at the heart of our university community, providing world-class facilities alongside a sustainably-conscious backdrop of nature. Recently awarded Sustainable University of the Year 2025 in The Times and The Sunday Times Good University Guide 2025, the University is proudly committed to climate change and environmental sustainability.
University of Reading open days
Visit us in person to find out what University of Reading has to offer. Discover what living and learning here is like. Explore our campuses, attend subject talks, tour facilities and halls of residence, meet academic tutors and current students. Ask the questions that matter to you.
Our webinars, virtual taster sessions and online courses also offer an insight into studying with us.
Source: University of Reading