Economics with Data Science, BSc (Hons)

This degree integrates economic theory with advanced data science and machine learning techniques. It explores innovative connections between economics and computing, emphasizing cutting-edge computational methods for data analysis. The interdisciplinary programme equips students with skills to address dynamic economic challenges, including artificial intelligence and machine learning applications. Students gain a strong foundation in economic theory, alongside tools for handling complex datasets, fostering analytical expertise for professional success. Small class sizes and personal tutoring enhance interaction and support throughout the three years.The curriculum includes compulsory modules across three years: Year 1 covers introductory economics, programming, and mathematics; Year 2 focuses on intermediate economics, quantitative methods, and programming with data; Year 3 delves into econometrics, advanced econometrics, and machine learning. Optional modules span computing (e.g., data visualisation, neural networks) and economics (e.g., behavioural economics, international economics). Assessment varies by module, incorporating coursework, exams, group work, and projects.

Year 1 In your first year, you'll take the following compulsory modules: Introductory Economics Introduction to Programming Mathematics for Economics and Business Computing Project 1 Identity, Agency & Environment 1 Identity, Agency & Environment 2 Year 2 In year two, you'll complete the following compulsory modules: Intermediate Microeconomics Intermediate Macroeconomics Quantitative Economics Applied Quantitative Economics Economic History Programming with Data  You'll have the opportunity to choose an optional module from across the Institute of Management Studies. You'll also choose one of the following two modules. My Career Strategy or Goldsmiths’ Social Change Module Year 3 In your final year, you'll take the following compulsory modules: Econometrics Advanced Econometrics Machine Learning You can then choose optional modules from across both Economics and Computing. Optional modules in the area of computing include: Data Visualisation Data Mining Neural Networks Artificial Intelligence Optional modules in the area of economics include: International Economics Public Economics Behavioural Economics From National Statistics to Big Data Communications and Presentation Skills Manias, Bubbles, Crises and Market Failure Individual and Institutional Economic Behaviour Gender, Race and Economic Relations Please note that due to staff research commitments not all of these modules may be available every year.