University of Sussex - June Open Day
6 Jun 2026, 08:30
Brighton
95% of our research overall in Mathematical Sciences was assessed to be world leading or internationally excellent (REF 2021)
About the course
Machine learning and data science are all around us. The need for people who can collate and interpret complex data has never been greater. This integrated Masters course will give you the skills to solve data-intensive problems. It is particularly relevant if you are interested in a research career.
You’ll explore the relationships between mathematics, data and statistics and gain a thorough grounding in theories and techniques. You’ll apply mathematical algorithms for the analysis, interpretation and visualisation of large data-sets, using real-world data.
In your mathematics modules you’ll learn the theory that forms the basis of modern data science. You’ll put this theory into practice in your data science modules. All modules are based on the latest research. Our faculty are experts in this exciting field. Their research is having significant impact in areas such as:
smart materials
artificial intelligence
infectious disease control.
You’ll develop analytical and modelling skills, using industry-standard software such as Python and R. During your fourth year you’ll gain further skills and apply them to an advanced research project.
By graduation you’ll have necessary skills to become a capable quantitative scientist. Career options include roles in:
the financial services
information and digital technology
research.
You’ll be part of a close-knit, friendly department. Our lecturers take the time to get to know you. They operate an open-door policy, so you’ll always find support if you need it.
MMath or BSc?
We also offer this course as a three-year BSc.
Accreditation
This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications.
Location
Study on our beautiful, green campus on the edge of the South Downs National Park and just minutes from the vibrant seaside city of Brighton & Hove. We’re near to Gatwick airport and just over an hour from London.
About the University of Sussex
Our courses, research, culture and campus aim to stimulate, excite and challenge. From scientific discovery to global policy, from student welfare to career development, Sussex innovates and takes a lead. And today, in every part of society and across the world, you'll find someone from Sussex making an original and valuable contribution.
See the modules you will study by year by going to the ‘visit our course page’ link at the bottom of the page.
The following entry points are available for this course:
Discover what it's like to study Mathematics with Data Science at University of Sussex: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
A-levels must include Mathematics grade A.
You should also have a broad range of GCSEs 9-4 (A*-C), including good grades in relevant subjects.
You will also need an A-level in Mathematics grade A.
You should have a broad range of GCSEs 9-4 (A*-C), including good grades in relevant subjects.
Highers must include Mathematics, grade A. Ideally, you will also have an Advanced Higher in Mathematics (grade A).
This score should be from the full IB Diploma.
Higher Levels must include Mathematics, with a grade of 6.
Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at Higher Level will be accepted.
We take the EPQ into account when considering your application and it can be useful in the summer when your results are released if you have narrowly missed the conditions of your offer. We do not routinely include the EPQ in the conditions of your offer but we sometimes offer alternative conditions that include the EPQ. If you wish to discuss this further please contact Admissions at ug.applicants@sussex.ac.uk
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | Including at least 5.5 in each component. We accept IELTS One Skills Retake. We do not accept IELTS Online. |
| PTE Academic | 59 | Including at least 59 in all four skills. We do not accept the PTE Academic Online test. |
| TOEFL (iBT) | 80 | TOEFL (iBT), including at least 17 in Listening, 18 in Reading, 20 in Speaking, 17 in Writing. We do not accept TOEFL (iBT) Home Edition. |
Please see our English language requirements. http://www.sussex.ac.uk/study/undergraduate/apply/international-qualifications/english-language-requirements
At Sussex, we recognise that not everybody has the same support to help them get to higher education. At Sussex it’s important to us to have a diverse, inclusive university community with a range of voices and experiences. Contextual offers are one of the ways we remove the barriers to higher education ensuring that we have fair access to all regardless of background. A contextual offer is a reduced grade offer which is given to students who meet certain eligibility criteria.
This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).
It is designed to support your research but does not guarantee whether you will or won't get a place.
Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
| Location | Fee | Year |
|---|
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.
Note that your fees may be subject to an increase on an annual basis as the Government reviews the fee levels.
Email:ug.enquiries@sussex.ac.uk
Phone:01273 876787
Sussex House
Brighton
BN1 9RH
At University of Sussex