Course information
Entry requirements
UCAS code
L1M2
Entry requirements
A-level: ABB
BTEC: DDD
IB: 33 points
Length
3 years full-time
Department
Institute of Management Studies
Computing
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.