This degree combines economic theory with state-of-the-art analytical techniques in data science and machine learning. **Why study BSc Economics with Data Science**- Explore the connection between economics and computing in new and innovative ways, bridging the gap between theory and data.- We focus on cutting-edge computational methods related to data analysis.- The interdisciplinary nature of the programme is pioneering in reimagining and redefining the toolkit available for future economists. It will equip you with the skills necessary to understand and tackle challenges posed by a dynamic economy.- Immerse yourself in the rapid developments in artificial intelligence and machine learning. These discoveries profoundly influence academic research, businesses and public organisations.- Explore computational thinking and data-driven methods in economic analysis - indispensable in an increasingly digital and connected world.- You'll gain a solid understanding of the theoretical foundations of economics. What's more, you'll learn interdisciplinary tools, and skills to work with complex, high-dimensional datasets.- This degree will develop your skills, making you well-equipped to analyse important economic issues using cutting-edge methods but will also be able to instigate change and have successful professional careers.- We focus our teaching efforts on a small cohort of students per year. By doing so, we give you the opportunity to interact a lot with lecturers and other students.- You will study in small groups and will be assigned a personal tutor during the three years of your undergraduate degree. Your tutor will meet regularly with you, follow your progress, and help whenever you need.
Hangi bölümdeyim?
Business, Management and Marketing - School of Creative Management
Öğrenim seçenekleri
Full Time
(3 yıl)
Okul ücreti
Bilgi mevcut değil
Başlangıç tarihi
Eylül 2027
Yer
Main Site
Goldsmiths, University of London,
New Cross,
London,
Greater London,
SE14 6NW, Southern England, United Kingdom
Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.