BSc Economics and Data Science

Embarking on the BSc Economics and Data Science at the London School of Economics and Political Science (LSE) means diving into a program that perfectly blends economic theory with the latest data science techniques. This degree is designed to give you the analytical skills and technical know-how you need to tackle real-world economic problems using data-driven insights.

At LSE, experiential learning isn’t just a buzzword—it’s an integral part of your academic journey. By combining economics with data science, the program ensures that you’re constantly applying what you learn through hands-on projects, professional-grade software, and collaborative work that mirrors real-world environments. Here’s how LSE brings this to life:

Experiential Learning at LSE:

• Digital Skills Lab (DSL): A dedicated space where you can join workshops on data science tools, coding languages like Python and R, and AI literacy. The lab also offers free access to platforms like Dataquest, so you can build practical skills that are in high demand.

• Data Science Institute (DSI): The DSI provides specialized modules such as DS101 – Fundamentals of Data Science, which focus on applying data science methods to social, economic, and political data.

• AI Integration in Learning: Courses are designed to teach programming from the ground up, incorporating modern AI tools to assist with coding, helping you produce high-quality work efficiently.

• Collaborative Projects: Work on group projects that simulate real-world economic problem-solving, giving you hands-on experience while developing teamwork and practical application skills.

• Career-Focused Workshops: Attend events hosted by the DSI where industry professionals share insights on transitioning from academia to data science careers, helping you explore potential career paths.

• Access to Advanced Software: From day one, you’ll work with statistical and data analysis tools like Excel, R, and Python, preparing you for careers in fields such as finance, consulting, and policy analysis.

• State-of-the-Art Facilities: LSE invests in modern technology and infrastructure, ensuring you have access to the hardware and software needed to support your studies and research.

Choosing this program means more than just earning a degree—it’s about preparing for a dynamic career at the intersection of economics and data science, equipped to solve some of the world’s most pressing challenges.

Graduates from the BSc Economics and Data Science program at LSE are exceptionally well-equipped to step into data-driven roles in economics, finance, and policy analysis. Many alumni move seamlessly into positions such as Data Analyst, Economic Consultant, or Quantitative Researcher:

• Career support: LSE Careers offers tailored guidance, including CV workshops, interview preparation, and employer networking events to help students secure their first roles.

• Employment outcomes: Around 90% of graduates are in employment or further study within six months of graduation, with typical starting salaries ranging from £35,000 to £50,000 depending on sector.

• Industry connections: The program benefits from strong partnerships with leading firms and organizations, providing students with access to internships, projects, and recruitment pipelines in finance, consulting, and technology.

• Accreditation value: LSE’s international reputation ensures that the degree is highly respected by employers worldwide, giving graduates a competitive edge in the job market.

• Graduate outcomes: Alumni often progress into roles in top-tier consultancies, financial institutions, government agencies, or innovative tech firms.

Further Academic Progression:
After completing the BSc, students can pursue advanced study in areas such as MSc Economics, MSc Data Science, or specialized programs in Finance, Public Policy, or Artificial Intelligence. This pathway can lead to research-focused roles, doctoral studies, or senior positions in global organizations.