Faculty of Science and Engineering MSc Data Science (Environmental Analytics) دراسة University of Manchester في

MSc Data Science (Environmental Analytics)

بريطانيا

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The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including: business and management health science social sciences geography planning computer science mathematics. We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop: computational skills data analytical skills data stewardship skills and knowledge project design skills. This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges and reap the rewards of interdisciplinary team work.

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Faculty of Science and Engineering

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£35,200.00 (US$ 45,458) سنوياً
هذه رسوم مؤقتة قيد القبول
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Main Campus

Oxford Road,

Manchester,

Greater Manchester,

M13 9PL, Northern England, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£35,200.00 (US$ 45,458) سنوياً
هذه رسوم ثابتة
تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

Main Campus

Oxford Road,

Manchester,

Greater Manchester,

M13 9PL, Northern England, United Kingdom

شروط القبول

للطلاب الدوليين

Academic entry qualification: high 2:1 honours degree (or overseas equivalent). In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; computational subjects; and pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are: Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health); Experience in working in data science, GIS or environmental based data analysis. Evidence of training in environment-themed methods or topics

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