Economics with Data Science

Unleash the power of data to analyze economic trends and make informed decisions with Goldsmiths, University of London’s innovative BSc in Economics with Data Science. This three-year, full-time program equips you with a powerful combination of economic theory, econometric analysis, and cutting-edge data science techniques.

Bridge the Gap Between Theory and Practice: Gain a solid foundation in economic principles and theories while simultaneously developing practical skills in data analysis, programming, and machine learning. Learn to apply your economic knowledge to real-world problems using data-driven approaches.

Master Data Science Tools: Develop expertise in data analysis tools like Python, R, and statistical software. Learn data manipulation techniques, data visualization methods, and how to build and interpret data models relevant to economic analysis.

Economics with a Modern Edge: Explore advanced econometrics, economic forecasting, and data-driven approaches to economic research. Analyze economic phenomena like market trends, consumer behaviour, and financial markets using sophisticated data science techniques.

Project-Based Learning: Hone your analytical and problem-solving skills through engaging projects that combine economic theory and data science applications. Work on real-world case studies or conduct your own research project, tackling economic challenges using your data science toolkit.

Professional Preparation: Gain the knowledge and skills sought after by employers in today’s data-driven economy. Develop your communication, teamwork, and critical thinking skills to effectively analyze and present economic data. Learn about career opportunities in economic research, financial analysis, data science consulting, and more.

Graduates emerge as versatile economics and data science professionals prepared for diverse careers in various fields, including:

• Economic research and analysis
• Financial modeling and risk analysis
• Business intelligence and data analytics
• Data science consulting
• Economic policy analysis
• Government agencies and research institutions
• Further studies in economics, data science, or related fields (e.g., econometrics, computational social science)