Data Science at University of Sussex - UCAS

Course summary

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.

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

Application codes

Course code:
G301
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


English language requirements

TestGradeAdditional details
IELTS (Academic)6Including at least 5.5 in each component. We accept IELTS One Skills Retake. We do not accept IELTS Online.
PTE Academic59Including at least 59 in all four skills. We do not accept the PTE Academic Online test.
TOEFL (iBT)80TOEFL (iBT), including at least 17 in Listening, 18 in Reading, 20 in Speaking, 17 in Writing. We do not accept TOEFL (iBT) Home Edition.

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

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

Fees are not yet set for entry in the academic year 2025-26. Note that your fees, once they’re set, may be subject to an increase on an annual basis.
Data Science at University of Sussex - UCAS