University of Cambridge

Overview

The MPhil in Economics and Data Science at the University of Cambridge offers a unique blend of advanced economic theory and contemporary data science techniques. This program is designed to equip students with the analytical and technical expertise necessary to explore complex economic issues using machine learning, causal inference, and research computing.

What you'll study

Core teaching and training

• Fundamentals of Data Science
• Machine Learning in Economics
• Causal Inference and Machine Learning
• Research Computing
• Seminar Series and Case Studies
• Microeconomics
• Econometric Methods

Assessment

Students will be assessed through a combination of coursework and examinations, tailored to the specific requirements of each module.

Entry requirements

• Applicants are expected to hold a UK Upper Second Class (2:1) Honours degree or an equivalent qualification.
• For UK applicants, a minimum high 2:1 (average grade typically 68% or above) is required.
• North American applicants should possess a minimum GPA of 3.6 out of 4 or its equivalent.
• English language proficiency is essential, with required scores typically being an overall IELTS Academic score of 7.5 or a TOEFL iBT score of 110.
• Applicants must submit necessary documentation, including transcripts and supporting materials, as specified by the university.
• Admission is competitive, and meeting minimum requirements does not guarantee acceptance into the program.

Career prospects

Graduates of the MPhil in Economics and Data Science are well-prepared for a diverse range of career opportunities in areas such as economic consulting, data analysis, financial services, and academia. The program not only enhances analytical skills but also provides valuable insights into the application of data science in economic contexts. Upon completing their degree, students may also be eligible for post-study work permissions under the UK’s Graduate route, allowing them to gain experience in the UK job market.