University of Cambridge MPhil in Economics and Data Science دراسة University of Cambridge في

MPhil in Economics and Data Science

بريطانيا

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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.

في أي قسم أنا؟

University of Cambridge

خيارات الدراسة

دوام كامل (9 أشهُر )

رسوم التسجيــل
£43,516.00 (US$ 56,198) Month
هذه رسوم مؤقتة قيد القبول
الموعد النهائي للتسجيل

متوقع December 2026

تاريخ البدء

أكتوبر 2026

مكان عقــد الدورة

University of Cambridge

The Old Schools,

Trinity Lane,

Cambridge,

Cambridgeshire,

CB2 1TN, Southern England, United Kingdom

دوام كامل (9 أشهُر )

رسوم التسجيــل
المعلومات غير متوفرة
تاريخ البدء

أكتوبر 2027

مكان عقــد الدورة

University of Cambridge

The Old Schools,

Trinity Lane,

Cambridge,

Cambridgeshire,

CB2 1TN, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

Applicants for this course should have achieved a High II.i Honours Degree. Please read the Faculty's Entry Requirements and How to Apply pages before applying for this course.

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