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Data Science at University of Brighton - UCAS

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

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 Core modules Managing Systems and Operations Introduction to Data Analysis with SAS Computing Technologies Fundamentals of Programming Mathematical Foundations Introduction to Statistics Year 2 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 Final year 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 In year one, you’ll build the foundational knowledge for working with data and technology. Managing Systems and Operations introduces you to how organisations run efficiently, while Computing Technologies and Fundamentals of Programming give you the tools to create and understand the systems behind them. You’ll develop a strong mathematical base through Mathematical Foundations and Introduction to Statistics and gain practical skills in Introduction to Data Analysis with SAS, learning to handle and interpret real datasets from the start. Your second year takes you deeper into the technical aspects of data science. Linear Algebra and Further Calculus equips you with the mathematical techniques needed for complex analysis. You’ll learn to manage and query large datasets in Database Management Systems and expand your programming skills in Programming for Data Science. Applied Machine Learning and Applied Statistical Modelling let you turn raw data into predictive insights, while Communicating Data ensures you can share findings clearly and persuasively. 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. In your final year, the Data Science Project is your opportunity to specialise and showcase your expertise, working independently on a problem you’re passionate about. Options enable you to focus on advanced areas including 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. *Option modules are indicative and may change, depending on timetabling and staff availability.


How to apply

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 or above overall with a minimum of 5.5 in each component.

Our courses are taught and assessed in English. The UK Visa and Immigration Authority and the university will need you to meet their English language requirements for your chosen course in order to be granted a student visa.

English qualifications that we accept.

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


Student Outcomes

Operated by the Office for Students
65%
Employment after 15 months (Most common jobs)
85%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on 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