ملفات تعريف الارتباط

نستخدم ملفات تعريف الارتباط لنقدم لك أفضل تجربة تصفح ممكنة لتخصيص المحتوى والإعلانات والوظائف المحسّنة. بالسماح لجميع ملفات تعريف الارتباط هذه فأنت توافق على استخدامها وفقاً ً لسياسة ملفات تعريف الارت باط، وتذكّر أنّه يمكنك إدارة خياراتك في أي وقت عبر النقر على "إدارة التفضيلات".

ماذا سوف أتعلم؟

Biodiversity and ecosystems underpin all human wellbeing and endeavours – from health and happiness to prosperity and security. Yet biodiversity is declining rapidly, with global and local extinctions, and widespread population declines. The new MSc in Ecology & Data Science will directly address the knowledge and skills gap, providing students with a unique and highly sought after expertise, attuned to addressing the critical ecological and environmental global challenges of our time.

About this degree

The MSc Ecology and Data Science will develop your data science skills from the conceptual to the practical following a unique approach that builds a foundational understanding of ecological theory, biodiversity monitoring methods, statistical programming, practical knowledge of cutting-edge sensor technologies, and environmental applications of artificial intelligence and data-driven modeling.

Who this course is for

Our new cross-disciplinary postgraduate programme will welcome students interested in ecology and wildlife conservation technologies, citizen science to big data analytics, sustainable urban design and health.

What this course will give you

Facing the twin global challenges of the climate and biodiversity crises, we urgently need to understand how our ecological systems and environmental resources can better be managed as they underpin all human wellbeing and endeavours, from health and happiness to prosperity and security. This programme will develop the next generation of professionals better equipped to address critical global environmental challenges across society.

Teaching and learning

You will be assessed through a variety of both formative and summative approaches including case study report, individual video presentation, group presentation/pitch, open book exam, grant proposal, reflective summary (group and individual), science communication, and a final research project developed in collaboration with UCL academics and/or with a programme partner.

Employability

Upon completion of the MSc Ecology & Data Science, you will possess the project management skills, and theoretical and practical experience needed to implement cutting-edge technological, statistical, and computational solutions to address ecological and environmental challenges across society. You will also leave with the necessary insight to plan and undertake independent research, and the ability to report its findings to a variety of audiences.

Employment destinations may include engineering, development and environmental consultancies; academia; museums; civil service; local government; environmental charities; conservation charities.

في أي قسم أنا؟

Division of Biosciences

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£32,100.00 (US$ 38,865) سنوياً
هذه رسوم ثابتة
تاريخ البدء

26 سبتمبر 2022

مكان عقــد الدورة

UCL (University College London)

Gower Street,

London,

Camden,

WC1E 6BT, England

شروط القبول

للطلاب من الولايات المتحدة

Students with Medical / Dental / Pharmacy degree or Doctorate/PhD (all degrees must be awarded by an institution accredited by a recognised regional accreditation body) will also be considered.

للطلاب الدوليين

Normally, an upper second-class (2:1) UK Bachelor's degree in life sciences, environmental sciences or related subject area, or an overseas qualification of an equivalent standard. Applicants with an appropriate professional qualification and relevant work experience. If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency. The English language level for this programme is: Good. Good level: Overall grade of 7.0 with a minimum of 6.5 in each of the subtests.

قد يكون هناك متطلبات أيلتس مختلفة بناء على التخصص المحدد.

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