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3 Years On Campus Bachelors Program
Goldsmiths University of LondonThe BSc (Hons) Economics with Data Science at Goldsmiths, University of London, combines economic theory with modern data science and machine learning techniques, providing a unique interdisciplinary approach. This program suits students eager to explore the intersection of economics, computing, and data-driven analysis while preparing for a dynamic, data-focused economy.
Curriculum Structure:
Year 1:
In your first year, you'll build a strong foundation in economics and computing. Core modules include Introductory Economics, Introduction to Programming, and Mathematics for Economics and Business, alongside Computing Project 1 and interdisciplinary modules on Identity, Agency & Environment. These courses equip you with analytical and computational skills essential for economic research and data analysis.
Year 2:
The second year deepens your understanding with modules like Intermediate Microeconomics, Intermediate Macroeconomics, and Quantitative Economics, complemented by Applied Quantitative Economics and Programming with Data. You'll also explore Economic History and choose optional modules, gaining the flexibility to tailor your learning while developing advanced problem-solving and coding skills.
Year 3:
In the final year, you'll focus on specialized and advanced topics including Econometrics, Advanced Econometrics, and Machine Learning, with optional modules across both Economics and Computing such as International Economics, Behavioural Economics, Data Mining, and Neural Networks. This year emphasizes practical applications of economic analysis and computational techniques, preparing you for a professional or research-focused career.
Focus Areas: Economics, Data Science, Machine Learning, Econometrics, Computational Analysis
Learning Outcomes: Develop strong analytical, computational, and statistical skills; understand economic theory in the context of real-world data; apply machine learning and data science techniques to complex economic problems.
Professional Alignment (Accreditation): Accredited by the Institute of Management Studies, providing industry-relevant skills and practical experience.
Reputation (Employability Rankings): 8 out of 10 graduates move into highly skilled work or further study (Graduate Outcomes Survey 2022); study in London, ranked the world’s best student city by QS Best Student Cities 2025.
At Goldsmiths, University of London, the BSc (Hons) Economics with Data Science programme is designed to immerse students in hands-on, practical experiences that complement their academic learning. From the very first year, students gain exposure to both economics and computational methods, applying theory through programming projects, data analysis, and real-world problem-solving. The university’s focus on small-group teaching ensures personalized guidance, while access to dedicated labs and digital tools allows students to experiment with cutting-edge data science and machine learning techniques.
This practical approach is reinforced through various opportunities and facilities, including:
Computer Labs & Software Tools: Access to computing labs equipped for programming, econometrics, and data analysis projects. Students work with languages like Python and software for machine learning and statistical modeling.
Group Projects: Collaborative coursework and computing projects encourage teamwork and the application of economic theories to data-driven problems.
Research & Econometrics Labs: Facilities dedicated to econometrics and advanced quantitative analysis for hands-on research experience.
Internship & Industry Links: Opportunities to engage with industry experts, reflecting real-world economic and data science applications.
Libraries & Learning Resources: Goldsmiths Library offers extensive digital and physical resources to support research and project work.
Institute of Management Studies: Provides additional expertise, workshops, and modules linking economics with business and computing.
Field-based & Applied Modules: Select modules like Applied Quantitative Economics allow students to apply computational methods to practical economic problems.
Personal Tutor & Small-Group Teaching: Ongoing mentorship ensures students can receive tailored support while developing hands-on skills.
This blend of structured labs, collaborative projects, and industry engagement ensures that graduates leave with a strong portfolio of practical experience alongside their academic knowledge.
Future Progression & Opportunities
Graduates of the BSc (Hons) Economics with Data Science at Goldsmiths leave equipped with a unique blend of economic insight and advanced data skills, making them highly competitive in the job market. Many go on to roles such as Data Analyst, Economic Consultant, or Business Intelligence Specialist:
University Services: Goldsmiths Careers Service offers personalised support, including employer-led projects, internship guidance, CV workshops, and one-to-one career consultations.
Employment Stats & Salary: 8 out of 10 graduates move into highly skilled roles or further study, with competitive starting salaries in sectors like finance, technology, and consulting.
University–Industry Partnerships: Students benefit from strong connections with leading tech and financial firms, gaining exposure to real-world projects and networking opportunities.
Long-Term Accreditation Value: Goldsmiths is internationally recognised for its innovative, interdisciplinary approach, giving your degree lasting credibility.
Graduation Outcomes: Graduates are prepared for dynamic careers in economics, data science, and related fields, equipped to tackle complex, data-driven challenges.
Further Academic Progression:
After completing this programme, students can pursue advanced studies such as a Master’s in Economics, Data Science, or Applied Artificial Intelligence. Opportunities also exist for professional certifications in data analytics, machine learning, and financial economics, opening doors to specialist career paths.
A-level: ABB / 60 credits overall with 33 distinctions and distinctions/merits in related subjectsInternational Baccalaureate: 33 points overall with Three HL subjects at 655IELTS: 6.0 with no element lower than 5.5 to study this programme.TOEFL: 80 overall with 21 in Writing and no lower than 20 in each other skill will meet English language requirementsFor Indian Applicants: Higher Secondary School Certificate (Class XII) from CBSE, CISCE/ICSE, or state boards Diploma (2–4 years) from a Polytechnic, College of Technology, or Professional InstituteStudents applying to programmes requiring IELTS 6.5/6.0/5.5 can meet English language requirements with 75% in English at Standard XII from the following Indian Boards, verifiable via DigiLocker or directly with the Board: CBSE, CISCE (ICSE/ISC), Andhra Pradesh, Goa, Karnataka, Kerala, Maharashtra, Tamil Nadu, Telangana, and West Bengal.Applications are assessed on grades, test scores, personal statement, reference, and extracurriculars. Verification may be required via DigiLocker or the examining Board.For US Applicants: A high school diploma with a GPA 3.0 or higher (unweighted) plus one of the following: ACT with a composite score of 26, or two advanced placement (AP) tests with a score of 3 or higher, or SAT 1240 overall (with a minimum of 580 in Math and 620 in Evidence-based Reading and Writing)OR Applicants must have a high school diploma with a 3.3+ GPA (unweighted) and A/B grades in honors, AP, IB HL/SL, or dual-enrollment courses. IB applicants must hold the full diploma with 33 points (HL 6,5,5). AP, IB, SAT, and ACT scores are used only for admission; no credit is granted. Goldsmiths superscores both SAT and ACT. CollegeBoard code: 7674, ACT code: 5310.Data AnalystEconomic AnalystBusiness Intelligence AnalystFinancial AnalystData ScientistRisk AnalystMarket Research AnalystPolicy AnalystOperations AnalystManagement ConsultantQuantitative AnalystInvestment AnalystEconomic ConsultantData EngineerStatistician
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