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Economics with Data Science, BSc (Hons)

Goldsmiths, University of London, United Kingdom

 
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Ranking in UK

56th
overall
Guardian
Economics
37th
Guardian
Computer Science and Information Systems
57th
Times
Economics
70th

Costs

Course fees S$35.3k / year
Entertainment, books
food & rent
S$24.8k / year
Beer S$4
MacDonalds S$14
Cinema S$26
Coffee S$7
Total S$60.1k / year

Entry requirements

A Level CCC
Diploma 2.2
International Baccalaureate 27

Scholarships

British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
L1M2
Upcoming
Intakes
Sep 2026
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

3 years
Graduate
2029
About the course

This degree integrates economic theory with advanced data science and machine learning techniques. It explores innovative connections between economics and computing, emphasizing cutting-edge computational methods for data analysis. The interdisciplinary programme equips students with skills to address dynamic economic challenges, including artificial intelligence and machine learning applications. Students gain a strong foundation in economic theory, alongside tools for handling complex datasets, fostering analytical expertise for professional success. Small class sizes and personal tutoring enhance interaction and support throughout the three years.The curriculum includes compulsory modules across three years: Year 1 covers introductory economics, programming, and mathematics; Year 2 focuses on intermediate economics, quantitative methods, and programming with data; Year 3 delves into econometrics, advanced econometrics, and machine learning. Optional modules span computing (e.g., data visualisation, neural networks) and economics (e.g., behavioural economics, international economics). Assessment varies by module, incorporating coursework, exams, group work, and projects.

A local representative of Goldsmiths, University of London in Singapore is available online to assist you with enquiries about this course.