MPhil in Economics and Data Science

The MPhil in Economics and Data Science is a postgraduate degree that aims to expand the knowledge of students who already have good undergraduate degrees in economics or related fields with the tools of data science to handle and interpret large quantities of data.

Learning Outcomes

On completion of the MPhil degree, students should have:

• acquired advanced high-quality training of the essential data sciences skills
• acquired skills in data retrieval, manipulation, programming, and methods of machine learning and econometrics
• acquired the theoretical underpinning of the motivation of modelling decisions and the interpretation of data pattern
• acquired, through optional papers, some knowledge of work at the frontiers of the subject in particular areas
• begun to acquire independent research skills and experience of putting them into practice
• acquired experience and guidance in formulating a realistic research topic and prepared written work to a strict timetable
• acquired sufficient knowledge and understanding of advanced economics and data science through hands-on work to proceed to a career as a professional economist in industry, government, or public institutions

Continuing to PhD

Students who wish to continue to a PhD would need to meet standard admissions criteria and apply in the usual way. However, please note that this course is intended for students who wish to obtain a masters qualification before leaving academic economics and is not primarily designed for students who wish to continue to the PhD programme.

Key Information

• Duration: 9 months full-time, 21 months part-time
• Study Mode: Taught
• Degree: Master of Philosophy
• Faculty: Faculty of Economics
• Course-related enquiries: Available upon request
• Application-related enquiries: Available upon request
• Course on Department Website: Available upon request
• Dates and deadlines:
  • Applications open: September 3, 2025
  • Application deadline: December 3, 2025
  • Course starts: October 1, 2026
• Funding deadlines:
  • Course funding deadline: December 3, 2025
  • Gates Cambridge US round only: October 15, 2025

Similar Courses

• Technology Policy MPhil
• Economics MPhil
• Economics AdvDip
• Economic Research MPhil
• Data Intensive Science MPhil

University of Cambridge

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Overview:

The University of Cambridge is a prestigious public research university located in Cambridge, England. It is one of the world's leading academic institutions, known for its high-quality teaching and research. The university is comprised of 31 constituent colleges, each with its own unique character and traditions.

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Student Life and Campus Experience:

The university offers a vibrant and diverse student experience. Students can expect to be part of a close-knit community within their chosen college, while also having access to the wider university's resources and facilities. The university boasts a rich history and tradition, with numerous historic buildings and gardens. Students can participate in a wide range of extracurricular activities, including sports, societies, and cultural events.

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Key Reasons to Study There:

Academic Excellence:

Cambridge is renowned for its world-class academics and research.

Prestigious Reputation:

A degree from Cambridge is highly valued globally, opening doors to various career opportunities.

Unique College System:

The college system provides a supportive and intimate learning environment, fostering close relationships between students and tutors.

Exceptional Facilities:

The university offers state-of-the-art facilities, including libraries, laboratories, and museums.

Vibrant Campus Life:

Cambridge offers a rich and diverse student experience, with numerous opportunities for extracurricular activities and social engagement.

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Academic Programs:

The university offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

Arts and Humanities:

History, English Literature, Classics, Philosophy, Theology, Music, Art History, and more.

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Economics, Politics, Sociology, Anthropology, Psychology, and more.

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Physics, Chemistry, Biology, Mathematics, Computer Science, Engineering, and more.

Medicine:

Clinical Medicine, Veterinary Medicine, and more.

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