Economics with Data Science at Goldsmiths, University of London - UCAS

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Course summary

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 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.

Assessment method

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

How to apply

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Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

We welcome students with a range of educational experiences. If you believe you may not meet the standard qualification requirements we would still encourage you to apply because we consider all aspects of your application when making a decision.

English language requirements

TestGradeAdditional details
IELTS (Academic)6With a 6.0 in writing and no element lower than 5.5

Student Outcomes

Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

To find out more about fees and funding, please check our undergraduate fees guidance or contact the Fees Office
Economics with Data Science at Goldsmiths, University of London - UCAS