University of Sussex - Undergraduate Visit Day
14 Mar 2026, 09:30
Brighton

95% of our research overall in Mathematical Sciences was assessed to be world leading or internationally excellent (REF 2021)
Our society is built on data. There’s an increasing demand for people with skills in data analysis, programming and statistics. This course is for you if you want to become proficient in handling data, using computational and statistical methods to solve real-world data-intensive problems.
Sussex is home to Sussex Artificial Intelligence, one of our Centres of Excellence, and the Data-Intensive Science Centre (DISCUS). You’ll learn from experts:
our mathematicians’ research is making world-changing impact – from modelling and controlling infectious diseases, to predicting floods and the behaviour of queues and social networks
our computer scientists lead national and international research projects on machine learning, natural language processing and artificial intelligence.
Your teaching is based on our leading research. During your studies, you’ll explore the relationship between modern data science and statistics. You’ll:
gain a thorough grounding in theories and techniques
develop critical knowledge in programming and statistics, as well as analytical and modelling skills
use industry-standard software such as Python and R
learn how to handle and analyse large sets of data
work with our researchers for your final-year project.
An academic adviser will guide you throughout your degree. You’ll have opportunities to engage with potential employers and to apply for a placement to gain experience working in industry. When you graduate, you’ll have the skills, knowledge and confidence to progress into roles such as data analyst, data engineer, business data analyst, database administrator, data scientist and software engineer.
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.
Discover what it's like to study Data Science (with an industrial placement) at University of Sussex: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted 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.
Choose a specific option to see funding information.
Course optionsSussex House
Brighton
BN1 9RH
Email:ug.enquiries@sussex.ac.uk
Phone:01273 876787