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The MPhil in Economics and Data Science at the University of Cambridge is a rigorous and interdisciplinary 9-month postgraduate program designed for students with strong quantitative backgrounds in economics, mathematics, or related fields. This innovative course bridges modern economic theory with advanced data science techniques, enabling graduates to analyze, model, and interpret complex datasets to inform economic decision-making in both public and private sectors.
Combining foundations in microeconomics, macroeconomics, and econometrics with hands-on skills in data programming, machine learning, and applied statistics, the program equips students to address contemporary challenges in finance, policy, and industry through a data-driven lens.
Program Format & Duration
Full-time, on-campus (Cambridge, UK)
Duration: 9 months (October to June)
Department: Faculty of Economics
Award: MPhil in Economics and Data Science
Not primarily intended as a feeder to the PhD program
Core Curriculum Components
The curriculum combines theoretical and empirical coursework with applied technical training:
Core Modules
Economic Theory and Quantitative Foundations
Microeconomic Analysis
Macroeconomic Modelling
Econometrics and Causal Inference
Data Science & Applied Analytics
Programming in Python and R
Machine Learning and Predictive Modelling
Data Handling, Cleaning, and Visualization
Advanced Statistical Methods for Economic Research
Electives and Specialist Options
Financial Econometrics
Time Series and Forecasting
Applied Policy Evaluation
Development and Behavioral Economics (subject to availability)
Research Paper / Project
A supervised, independent research project in applied economics using data science methods
Demonstrates analytical and technical proficiency
Submitted in written form with the opportunity to explore publication-quality topics
The MPhil integrates real-world economic analysis with technical application through coursework and independent research:
Practical Skill Development
Application of econometric techniques to real economic datasets
Use of modern tools for data management, predictive analytics, and coding
Emphasis on reproducibility, transparency, and rigorous empirical design
Independent Research
Students undertake an individual project on a topic of their choice
Encouraged to engage with open datasets and policy-relevant questions
Supervision provided by experienced Cambridge faculty with expertise in economics and quantitative analysis
Graduates of the MPhil in Economics and Data Science are highly sought after for data-driven roles in policy, finance, consulting, and research, where economic expertise and technical fluency are both essential.
Career Outcomes
Common career paths include:
Data Scientist (Economic, Financial, or Public Sector)
Economist or Policy Analyst
Quantitative Researcher in Finance or Tech
Economic Consultant
Applied Research Associate at central banks, think tanks, or NGOs
Further Study
While this program is not designed as a direct PhD feeder, exceptional students may pursue doctoral research at Cambridge or other top global institutions
Graduates also pursue MRes, DPhil, or interdisciplinary research programs in economics, data science, and public policy
Bachelor’s Degree: Hold a UK Good Honours (2:1) degree or international equivalent (typically in economics, maths, or related fields) Quantitative Background: Demonstrate competence in mathematics, including linear algebra, statistics, probability, and core economics subjects (micro, macro, econometrics) via documented coursework .References: Provide two academic referee reports submitted online.Transcript: Upload a full academic transcript (official version required after admission).CV/Resume: Submit a current CV summarizing your academic and professional experience.Statement of Reasons: Provide a brief "Reasons for Applying" statement (max 1,000 characters).GRE Scores: If educated outside the UK (or London University International), you must submit recent GRE scores.English Proficiency: Evidence of English ability is required if not fulfilled by your academic background.Application Fee: Pay the required application fee through Cambridge’s portal. Deadline & Timing: Apply by 3 December; applications open from 4 September.EconomistData ScientistPolicy AnalystResearcherConsultantQuantitative AnalystStatisticianAcademicRisk AnalystData Analyst
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University of Cambridge
