Economics and Data Science MPhil

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.<br/><br/>Learning Outcomes<br/>On completion of the MPhil degree students should have:<br/><br/><br/>- acquired advanced high quality training of the essential data sciences skills;<br/><br/><br/>- acquired skills in data retrieval, manipulation, programming and methods of machine learning and econometrics;<br/><br/><br/>- acquired the theoretical underpinning of the motivation of modelling decisions and the interpretation of data pattern;<br/><br/><br/>- acquired, through optional papers, some knowledge of work at the frontiers of the subject in particular areas;<br/><br/><br/>- begun to acquire independent research skills and experience of putting them into practice;<br/><br/><br/>- acquired experience and guidance in formulating a realistic research topic and prepared written work to a strict timetable;<br/><br/><br/>- 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.<br/><br/><br/>Continuing<br/>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.