Strand Campus
Strand Campus feels like the heart of London—historic yet buzzing with energy. Nestled by the Thames, it offers world-class academics, vibrant student life, and endless inspiration from the city’s culture and diversity.
Overview
Our Data Analytics for Business and Finance BSc equips students with essential skills for data-driven decision-making in business and finance. You will master analytical problem-solving tools, data visualisation techniques, and data manipulation skills. The curriculum integrates business, finance, economics, and technology, providing a comprehensive understanding of the field. Hands-on experience with advanced data science tools will ensure you can generate innovative solutions and actionable insights.
The programme also covers a broad range of business and finance modules and develops transferable skills such as effective communication and collaboration, problem-solving, and teamwork skills preparing you for dynamic roles in data analytics, business, and finance in an increasingly globalised world.
Key benefits
- We are ranked 3rd in the UK for Business, Management and Marketing; the best in London, according to The Times and Sunday Times Good University guide 2026.
- We are ranked 8th in the UK for Business and Management in the Guardian University Guide 2026.
- Our integrated curriculum combines data analytics with business, finance, economics, and technology for a well-rounded approach.
- Gain practical experience with advanced data science tools and real-world applications.
- Taught in a central London location which offers close ties to leading business and financial institutions.
- Build a strong foundation for advanced studies and enhance employability through critical thinking and effective communication skills.
Course essentials
We’ve designed this course to equip you with essential skills in data-driven decision-making in contemporary business and financial environments, and provide hand-on experiences in the heart of London to support a career in data analytics, business, or finance.
Course aims
- Cultivate analytical problem-solving tools, including data visualization techniques and data manipulation skills, empowering you to tackle intricate challenges inherent in the realm of business and finance.
- Foster an interdisciplinary understanding by highlighting the interconnectedness of data analytics with various fields such as business, finance, economics, and technology, enabling you to grasp the multifaceted nature of the discipline.
- Provide hands-on experience in applying advanced data science tools to business and financial data, develop technical acumen and the ability to synthesize data from diverse sources to generate innovative solutions to complex business and financial challenges and to derive actionable insights from data.
- Provide appropriate skills and knowledge to be able to evaluate and critically reflect on broader ethical and societal impact of business and financial data.
- Foster the development of transferable skills, such as effective communication and collaboration skills, an appetite for continuous learning, and exposure to innovative technologies, positioning our students to thrive in dynamic and evolving roles within data analytics, finance, and related fields.
Special features
Optional study abroad
Key Information
Course type:
Single honours
Delivery mode:
In person
Study mode:
Full time
Required A-Levels:
A*AA
Duration:
Three years
Application status:
Open
Start date:
September 2026
Application deadline:
22 November 2025
Taught in
Administrative bodies
Awarding body
King's College London and Affiliates
Regulating body
Base campus