Data Analytics for Business and Finance with Year in Industry

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, while the year in the industry will provide you with practical insights and professional connections.

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

Our integrated curriculum combines data analytics with business, finance, economics, and technology for a well-rounded approach.

Emphasizes on practical experience with advanced data science tools and real-world applications.

Optional placement year or study abroad in your third year, with opportunities to work in the UK or internationally. Enhances practical experience and provides valuable professional connections.

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.

Ranked joint 1st in the UK for Graduate Outcomes (Business & Management Studies, The Complete University Guide 2024).

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.