Data Science

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.

Course 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.