Course summary
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 course will give you the skills to solve data-intensive problems. 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
- social networks
- infectious disease control.
- the financial services
- information and digital technology
- research.
Modules
See the modules you will study by year by going to the ‘visit our course page’ link at the bottom of the page.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G1G6
- Institution code:
- S90
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
A level - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma
Scottish Higher - AABBB
International Baccalaureate Diploma Programme - 32 points
Extended Project
English language requirements
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.
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
EU | £22575 | Year 1 |
International | £22575 | 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
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH