Economics with Data Science

UCAS code: L1M2

Here's what Goldsmiths, University of London says about its Economics with Data Science course.

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.

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 The Goldsmiths Project

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 economics include: International Economics Public Economics Behavioural Economics Communications and Presentation Skills Manias, Bubbles, Crises and Market Failure Individual and Institutional Economic Behaviour Gender, Race and Economic Relations

Optional modules in the area of computing include: Data Mining Neural Networks

Please note that due to staff research commitments not all of these modules may be available every year.

You’ll be assessed by a variety of methods, depending on your module choices. These include coursework, examinations, group work and projects.