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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...
This degree combines economic theory with state-of-the-art analytical techniques in data science and machine learning. <br/><br/>**Why study BSc Economics with Data Science**<br/>- Explore the connection between economics and computing in new and innovative ways, bridging the gap between theory and data.<br/><br/><br/>- We focus on cutting-edge computational methods related to data analysis.<br/><br/><br/>- 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.<br/><br/><br/>- Immerse yourself in the rapid developments in artificial intelligence and machine learning. These discoveries profoundly influence academic research, businesses and public organisations.<br/><br/><br/>- Explore computational thinking and data-driven methods in economic analysis - indispensable in an increasingly digital and connected world.<br/><br/><br/>- Youll gain a solid understanding of the theoretical foundations of economics. Whats more, youll learn interdisciplinary tools, and skills to work with complex, high-dimensional datasets.<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/>
1 option available
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Course Details
Information
Study Mode
Full-time
Duration
3 Years
Start Date
22/09/2025
Campus
Main Site
Provider Details
Codes/info
Course Code
L1M2
Institution Code
G56
Points of Entry
Year 1
Not Accepted
DDD
A,B,B
M
Each application will be considered on its individual merits. Where the T Level subject area does not directly match the degree programme being applied for, the personal statement and reference will be particularly important in demonstrating interest, enthusiasm and suitability for the subject.
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