Program Overview

BSc (Hons) Economics with Data Science

This degree combines economic theory with state-of-the-art analytical techniques in data science and machine learning.

Programme Details

Programme Structure

The programme is taught through scheduled learning - a mixture of lectures, seminars, and computer labs. Students are expected to undertake a significant amount of independent study.

Entry Requirements

• A-level: ABB
• BTEC: DDD
• International Baccalaureate: 33 points

Fees

• Home - full-time: £9535
• International - full-time: £20650

Duration

3 years full-time

Departments

• Institute of Management Studies
• Computing

Teaching Style

This programme is taught through a mixture of lectures, seminars, and computer labs. Students are expected to undertake a significant amount of independent study.

Assessment

Students will be assessed by a variety of methods, depending on their module choices. These include coursework, examinations, group work, and projects.

Modules

Year 1

• 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

• 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)
• My Career Strategy (15 credits) or The Goldsmiths Project (15 credits)

Year 3

• Econometrics (15 credits)
• Advanced Econometrics (15 credits)
• Machine Learning (15 credits)
• Optional Economics modules (15 credits each):
  • International Economics
  • Public Economics
  • Behavioural Economics
  • Communications and Presentation Skills
  • Manias, Bubbles, Crises and Market Failure
  • Individual and Institutional Economic Behaviour
  • Gender, Race and Economic Relations
• Optional Computing modules (15 credits each):
  • Data Mining
  • Neural Networks

Career Opportunities

Skills

Graduates of the BSc Economics with Data 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 creative thinking and be willing to take risks
• 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 their career, and maintain lifetime job satisfaction

Career Support

• Dedicated Head of Careers and Employability
• Exclusive module on 'My Career Strategy' that prepares students for the job market
• Practical workshops and one-to-one sessions covering time management, CV clinics, and transferable skills
• Opportunities for summer placements and internships between the second and third years

Staff

Students will have the opportunity to learn from experts across the Institute of Management Studies and the Department of Computing, including:

• Ragupathy Venkatachalam
• Ivano Cardinale
• Constantinos Repapis
• Ariel Wirkierman
• Tomas Rotta
• Ariane Agunsoye
• Raju Chinthalapati
• Edward Anstead
• Daniel Stamate
• Larisa Soldatova
• Jennifer George