Centre for Interdisciplinary Methodologies Data Visualisation PGDip دراسة University of Warwick في

Data Visualisation PGDip

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Warwick’s Data Visualisation MASc focuses on the skills and knowledge needed to design, develop, deploy and interpret data visualisations. Open up diverse career opportunities by developing a Data Visualisation portfolio through studies spanning the Sciences, Arts, Humanities and Social Sciences at the Centre for Interdisciplinary Methodologies. The MASc in Data Visualisation is an innovative, interdisciplinary course which enables students to acquire crucial knowledge and skills in visualisation as a methodology for data-intensive research, communication and engagement. Students will be trained in concepts, methods and techniques from data science, digital humanities and design research, whilst developing a portfolio of work that prepares them for diverse career opportunities. The programme aims to develop the methodological, conceptual and practical skills needed to design, deploy and interpret data visualisations successfully in academic, policy and public contexts. The course combines academic training in methodological and conceptual aspects with the development of technical, creative and practical competences in data visualisation as a way of communicating knowledge, as a form of engagement, and as a way of seeing the world.

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Centre for Interdisciplinary Methodologies

خيارات الدراسة

دوام كامل (9 أشهُر )

رسوم التسجيــل
£2,050.33 (US$ 2,648) Month
هذه رسوم مؤقتة قيد القبول
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

University of Warwick

University of Warwick,

Coventry,

West Midlands,

CV4 7AL, Central England, United Kingdom

دوام كامل (9 أشهُر )

رسوم التسجيــل
£2,050.33 (US$ 2,648) Month
هذه رسوم مؤقتة قيد القبول
الموعد النهائي للتسجيل

متوقع August 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

University of Warwick

University of Warwick,

Coventry,

West Midlands,

CV4 7AL, Central England, United Kingdom

شروط القبول

للطلاب الدوليين

2:1 undergraduate degree (or equivalent). There is no requirement for prior knowledge of coding or programming.

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