Course information

Entry requirements

UCAS code


Entry requirements

A-level: ABB
IB: 33 points


3 years full-time

Course overview

This degree combines economic theory with state-of-the-art analytical techniques in data science and machine learning. You’ll learn to tackle economic problems through new tools in data science while developing practical experience in programming.

Why study BSc Economics with Data Science

The BSc (Hons) in Economics with Data Science gives you the chance to explore the connection between economics and computing in new and innovative ways, bridging the gap between theory and data. It distinguishes itself from existing programs through:

  • Its focus on cutting-edge computational methods related to data analysis.
  • Immersing you in the rapid developments in artificial intelligence and machine learning. These discoveries profoundly influence academic research, businesses and public organisations.
  • Exploring computational thinking and data-driven methods in economic analysis, and demonstrating how these are becoming indispensable in an increasingly digital and connected world.
  • Giving you the opportunity to study modules from our Department of Computing to give you a highly relevant context, equipping you with essential computing skills to solve economic problems.
  • 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.

What you'll learn

The increasing demand for economists with expertise in the computational methods for data analysis is the focus of this programme. This degree will advance your knowledge in the following ways:

  • You'll gain a rigorous foundation of economic thinking and the tools (both theory and empirical analysis) that are part of the trade.
  • You'll be grounded in the context of the application of these tools both historically and in the different political and social realities of today.
  • You'll explore computational thinking, develop advanced programming skills and the ability to work with big datasets to be able to understand and tackle important socio-economic problems.

You'll study a mixture of core and optional modules in economic analysis, mathematical and statistical analysis, the context of economic ideas and the broader political and social context of today, and computational methods, especially in relation to developing advanced skills and methods to organise, analyse and infer from various form of data. You can find further details of modules under 'What you'll study'.

Setting you up for success

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. The interdisciplinary nature of the programme will be pioneering in reimagining and redefining the toolkit available for future economists. This degree intends to equip you with the skills necessary to understand and tackle challenges posed by a dynamic economy.

Contact the department

If you have specific questions about the degree, contact Constantinos Repapis or Ragupathy Venkatachalam.

Watch videos about your course

What you'll study

Year 1

Compulsory modules

In your first year, you'll study the following compulsory modules:

Module title Credits
Introductory Economics 30 credits
Introduction to Programming 15 credits
Mathematics for Economics and Business 30 credits
Computing Project 1 15 credits
Identity, Agency & Environment 1 15 credits
Identity, Agency & Environment 2 15 credits

Year 2

Compulsory modules

In year two, you'll take the following compulsory modules:

Module title Credits
Intermediate Microeconomics 15 credits
Intermediate Macroeconomics 15 credits
Quantitative Economics 15 credits
Applied Quantitative Economics 15 credits
Economic History 15 credits
Programming with Data  15 credits

Optional modules

You'll have the opportunity to choose 15 credits of optional modules from across the Institute of Management studies. You'll also choose to complete one of the following two modules:

Module title Credits
My Career Strategy 15 credits
Goldsmiths’ Social Change Module 15 credits

Year 3

In your final year, you'll take the following compulsory modules:

Module title Credits
Econometrics 15 credits
Advanced Econometrics 15 credits
Machine Learning 15 credits

You can then choose optional modules from across both Economics and Computing.

Optional Computing modules

Optional modules in the area of computing include:

Module title Credits
Data Visualisation 15 Credits
Data Mining 15 credits
Neural Networks 15 credits
Artificial Intelligence 15 credits

Optional Economics modules

Optional modules in the area of economics include:

Module title Credits
International Economics 15 credits
Public Economics 15 credits
Behavioural Economics 15 credits
From National Statistics to Big Data 15 credits
Communications and Presentation Skills 15 credits
Manias, Bubbles, Crises and Market Failure 15 credits
Individual and Institutional Economic Behaviour 15 credits
Gender, Race and Economic Relations 15 credits

Teaching style

This programme is taught through scheduled learning - a mixture of lectures, seminars and computer labs. You’ll also be expected to undertake a significant amount of independent study. This includes carrying out required and additional reading, preparing topics for discussion, and producing essays or project work.

How you’ll be assessed

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

Credits and levels of learning

An undergraduate honours degree is made up of 360 credits – 120 at Level 4, 120 at Level 5 and 120 at Level 6. If you are a full-time student, you will usually take Level 4 modules in the first year, Level 5 in the second, and Level 6 modules in your final year. A standard module is worth 30 credits. Some programmes also contain 15-credit half modules or can be made up of higher-value parts, such as a dissertation or a Major Project.

Download the programme specification.

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

Entry requirements

We accept the following qualifications:

A-level: ABB
International Baccalaureate: 33 points

International qualifications

We also accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.

If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.0 with a 6.0 in writing and no element lower than 5.5 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for degree-level study.

Alternative qualifications

See our full list of undergraduate entry qualifications.

Fees & funding

Annual tuition fees

These are the fees for students starting their programme in the 2024/2025 academic year.

From August 2021 EU/EEA/Swiss nationals will no longer be eligible for 'Home' fee status. EU/EEA/Swiss nationals will be classified as 'International' for fee purposes, more information can be found on our fees page.

  • Home - full-time: £9250
  • International - full-time: £19640

If your fees are not listed here, please check our undergraduate fees guidance or contact the Fees Office, who can also advise you about how to pay your fees.

It’s not currently possible for international students to study part-time under a student visa. If you think you might be eligible to study part-time while being on another visa type, please contact our Admissions Team for more information.

If you are looking to pay your fees please see our guide to making a payment.

Additional costs

In addition to your tuition fees, you'll be responsible for any additional costs associated with your course, such as buying stationery and paying for photocopying. You can find out more about what you need to budget for on our study costs page.

There may also be specific additional costs associated with your programme. This can include things like paying for field trips or specialist materials for your assignments. Please check the programme specification for more information.

Funding opportunities

We offer a wide range of scholarships and bursaries, and our careers service can also offer advice on finding work during your studies. Find out more about funding your studies with us.



Graduates of the BSc Economics with Dana Science will:

  • Develop the knowledge and understanding of a trained economist
  • Gain knowledge of computational and statistical methods involved in working with datasets
  • Have advanced skills in literacy, data analysis, communication and presentation
  • Develop their creative thinking and be willing to take risks, and where necessary to engage in constructive, informed and critical challenges to economic orthodoxy
  • Gain programming and applied skills that are in demand in the modern marketplace
  • Be enterprising and resourceful with the knowledge and skills to secure appropriate employment, effectively manage your career and maintain lifetime job satisfaction

This degree equips you with highly sought-after skills that will help you stand out in the marketplace and launch your career. We help you develop the technical skills necessary to become a successful economist today, along with the ability to understand economic change and adapt as the world changes.

As an economist, you'll gain competence in areas such as macroeconomic and microeconomic analysis, statistics and economics, quantitative methods from a theoretical and practical perspective, presentation skills and report writing. 

Through modules in data science, you'll develop coding skills, a working knowledge of relevant computational methods and tools to organise, analyse datasets and communicate insights concerning real-world applications to different stakeholders.