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The BSc (Econ) Economics and Statistics at UCL is a rigorous three-year undergraduate program jointly offered by the Department of Economics and the Department of Statistical Science. It combines in-depth study of economics and econometrics with a solid grounding in mathematical and statistical methods. The program is designed for students with high mathematical ability who are considering careers in finance, business, or industry.
Focus Areas:
Economic theory and applications
Econometrics and statistical modeling
Mathematical and statistical methods
Quantitative analysis and data interpretation
Problem-solving and analytical skills
Year-wise Breakdown of Core Modules
Year 1: Foundations
In the first year, students undertake compulsory modules that lay the groundwork for advanced study:
Introduction to Economics
Mathematics for Economics and Statistics
Introduction to Statistical Methods
Introduction to Econometrics
Optional modules in related areas
Year 2: Intermediate
The second year builds upon the foundational knowledge with more specialized modules:
Intermediate Microeconomics
Intermediate Macroeconomics
Statistical Inference
Econometric Theory and Methods
Optional modules in economics and statistics
Year 3: Advanced
In the final year, students have the opportunity to specialize further:
Advanced Econometrics
Statistical Modeling
Research Project or Dissertation
Optional advanced modules in economics, statistics, or related fields
Learning and Assessment Methods
Learning Methods:
Lectures and seminars
Tutorials and workshops
Independent study and research
Group projects and presentations
Assessment Methods:
Written examinations
Coursework assignments
Project reports
Presentations
Rankings
UCL is highly regarded globally and nationally:
UCL is ranked 5th in the UK by the QS World University Rankings by Subject 2024 for Statistics and Operational Research
While the program does not include a formal placement year, students have access to various experiential learning opportunities:
Participation in research projects within the departments
Engagement with UCL's career services for internship opportunities
Involvement in departmental seminars and workshops
Access to networking events and guest lectures
Career Outcomes:
Graduates are well-equipped for careers in:
Finance and banking
Data analysis and statistics
Economic consultancy
Public policy and government agencies
Research and academia
Postgraduate Progression:
Graduates may pursue further studies in:
Economics
Statistics
Data Science
Finance
Public Policy
A Levels: AAA, including Mathematics at AIB Diploma: 39 points, with a score of 7 in Higher Level MathematicsEnglish Language Proficiency: Level 4 (Advanced) as per UCL's English language requirementUp to 33% of this course is available through the medium of Welsh. Please contact the Admissions tutor for more information.This course does not have a Foundation YearThis course does not have a Placement YearStatistical Economist – Combine datasets and theory to inform policyEconomic Data Analyst – Interpret trends and inform decision makingQuantitative Researcher – Conduct analysis with statistical toolsEconometrician – Model relationships using complex dataRisk Analyst – Assess probabilities of economic disruptionsMarket Research Statistician – Study consumers and competitorsSurvey Designer – Create tools to gather economic dataPublic Sector Statistician – Work with government economic metricsAcademic – Teach applied statistics in economicsData Modelling Consultant – Support firms with statistical forecasts
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University College London
