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Data Science at University of Brighton - UCAS

Course options

2025 - 20262026 - 2027
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

University of Brighton has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

11Oct
University of Brighton - open day - Moulsecoomb campus
Undergraduate
18Oct
University of Brighton - open day - City campus
Undergraduate
8Nov
University of Brighton - open day - Falmer campus
Undergraduate

Course summary

A Brighton Data Science BSc prepares you for careers in areas such as AI and machine learning, data analytics, business intelligence, healthcare informatics, financial modelling and software engineering. This course gives you loads of real-world learning opportunities to prepare you for employment. You’ll work on industry projects using real-life datasets and there are opportunities for paid internships and a paid placement after year two. You can also earn a globally recognised SAS qualification alongside your degree. Our inclusive approach to learning will help you go further; we’ll make sure you play to your strengths and learn in ways that suit you best. Brighton graduates go on to work for tech companies, financial institutions, healthcare providers, government departments and research organisations. Top reasons to choose this course

  • Explore advanced topics in AI such as logic, natural language processing (NLP) and speech and image recognition.
  • Master core tools like SQL, SAS and R statistical software which are widely used in medical and pharmaceutical companies, banking and government, and Python for programming, software development and machine learning.
  • Work towards an additional globally recognised SAS qualification to add further value to your CV.
  • Work with real data across topics like social justice, sustainability and public health.
  • Collaborate on projects with companies such as Brighton and Sussex Medical School (BSMS), Brighton and Hove Buses, Southern Water and EDF Energy.
  • Boost your CV with an optional paid placement year and industry-linked projects embedded throughout the course.
  • Develop career-ready skills with insights from leading experts in statistics and analytics from the SAS Institute.
  • 100% of our research impact in computer science and informatics is rated ‘outstanding’ or ‘very considerable’ for reach and significance – Research Excellence Framework 2021.
Why Brighton is a great place to study Data Science Less than an hour from central London, Brighton & Hove is a fast-growing tech hub with numerous opportunities to connect to employers and like-minded people through local events, placements and meet-ups close to campus. Named as one of the best cities on the planet and the third best city in the UK by Time Out, Brighton & Hove has a digital economy worth over £1 billion a year.

Modules

Year 1 In year one, you’ll build the foundational knowledge for working with data and technology. You will learn about how organisations run efficiently and gain the tools needed to create and understand the systems behind them. You’ll develop a strong mathematical base along with practical skills so you can handle and interpret real datasets from the start. Core modules Managing Systems and Operations Introduction to Data Analysis with SAS Computing Technologies Fundamentals of Programming Mathematical Foundations Introduction to Statistics Year 2 Your second year takes you deeper into the technical aspects of data science and equips you with the mathematical techniques needed for complex analysis. You’ll learn to manage and query large datasets and expand your programming skills. You will gain the ability to turn raw data into predictive insights and share your findings clearly and persuasively. Core modules Linear Algebra and Further Calculus Database Management Systems Programming for Data Science Applied Machine Learning Applied Statistical Modelling Communicating Data Optional Placement Year An optional placement year gives you the chance to apply your knowledge in industry – testing your skills in real projects, making professional connections and returning to your final year with valuable experience that sets you apart. Final year In your final year, a data science project give you the opportunity to specialise and showcase your expertise, working independently on a problem you’re passionate about. Option modules enable you to focus on advanced areas such as AI, data mining and statistical modelling. By graduation, you’ll combine technical mastery with the confidence to use data to solve complex, real-world challenges. Core modules Data Science Project Options* Advanced Artificial Intelligence Data Mining Time Series and Forecasting Models Advanced Statistical Modelling Natural Language Understanding Medical Statistics for Data Science *Option modules are indicative and may change, depending on timetabling and staff availability.

How to apply

14Jan

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

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://www.brighton.ac.uk/courses/study/data-science-bsc-hons.aspx

English language requirements

TestGradeAdditional details
IELTS (Academic)66.0 overall with a minimum of 5.5. in each element, or equivalent English Language qualification.

Review our English Language requirements

https://www.brighton.ac.uk/international/applying-here/how-to-apply/english-language-requirements/index.aspx

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

England £9535 Year 1
Northern Ireland £9535 Year 1
Scotland £9535 Year 1
Wales £9535 Year 1
Channel Islands £9535 Year 1
Republic of Ireland £9535 Year 1
EU £17250 Year 1
International £17250 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

The fees listed in the table above are for full-time UK undergraduate students in academic year 2025-26. You will pay further fees in each year of your course. Fees may increase each year. UK undergraduate and certain postgraduate fees are regulated by the UK government. The annual fee increase will not exceed the UK government's maximum regulated tuition fee limit set for the relevant academic year. Many of our courses include the option of a salaried placement year. Tuition fees for a placement year are charged at a lower rate of £1850. The international tuition fees listed above are for full-time courses during the academic year 2025-26. Further tuition fees are payable in each year of study. Non-regulated tuition fees, which usually apply to international students and UK postgraduate students* are subject to an annual increase of a maximum of 5% or the Consumer Prices Index (CPI), whichever is higher. *Some designated postgraduate courses are regulated by the UK government – the annual fee increase for eligible UK / Home students on these designated courses will not exceed the UK government’s regulated tuition fee limit set for the relevant academic year.
Data Science at University of Brighton - UCAS