Accounting MSc Applied Social Data Science دراسة London School of Economics and Political Science, University of London في

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The rapid rise of AI and big data are reshaping our world. This programme will equip you with cutting edge data science skills that are in demand across a variety of careers in the private, public, and non-profit sectors.You’ll acquire technical skills in applied data science, computation, programming, and quantitative methods, and learn how to use data to answer interesting and important social science questions.The programme has a strong practical focus. You’ll take project-based programming courses specifically designed for students without a formal computing or statistical background. Nevertheless, a typical student will have taken at least two prior courses in quantitative methods or applied statistics at a basic or intermediate level.You’ll master highly demanded programming languages including R and Python, learn how to construct and manipulate large databases, and creatively deploy newly acquired analytical skills on project-based tasks.You can tailor the programme to suit your specific interests through a wide range of optional choices. A Capstone project gives you the chance to apply your new skills to an original social science problem of your choosing.Graduate destinations:This programme will prepare you for a variety of careers in the private, non-profit and public sectors.

في أي قسم أنا؟

Accounting

خيارات الدراسة

دوام كامل (12 أشهُر )

رسوم التسجيــل
£3,325.00 (US$ 4,294) Month
هذه رسوم ثابتة
تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

London School of Economics and Political Science, University of London

Houghton Street,

London,

Greater London,

WC2A 2AE, Southern England, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£41,900.00 (US$ 54,111) سنوياً
هذه رسوم ثابتة
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

London School of Economics and Political Science, University of London

Houghton Street,

London,

Greater London,

WC2A 2AE, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

Upper second class honours (2:1) degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required.

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