The course aims to expand the knowledge of a diverse set 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
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 master’s qualification before leaving academic economics and is not primarily designed for students who wish to continue to the PhD programme.
Open Days
The University hosts and attends fairs and events throughout the year, in the UK and across the world. We also offer online events to help you explore your options:
Discover Cambridge: Master’s and PhD study webinars - these Spring events provide practical information about applying for postgraduate study.
Postgraduate Virtual Open Days - taking place in November each year, the Open Days focus on subject and course information.
For more information about upcoming events visit our events pages.