Faculty of Mathematics & Science Intelligent Systems and Data Science (PhD) دراسة Brock University في

Intelligent Systems and Data Science (PhD)

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The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that targets the need for highly qualified scientists to tackle challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statistical/mathematical modelling & analytics, and big data infrastructure.Our Ph.D. in Intelligent Systems and Data Science is unique in many ways:The degree title and focus areas are distinct throughout Ontario and Canada.This interdisciplinary degree directly acknowledges the fundamental and intrinsic relationship between computer science, mathematics, and statistics.The degree strives to foster a cohesive interdisciplinary program, and community of students.The qualifying examination requires students to write a research grant application. This experience will give students unique training in grant preparation.The program gives students the opportunity to gain experience in the development and application of advanced AI algorithms, complex software systems, data analytics tools, and statistical models.

في أي قسم أنا؟

Faculty of Mathematics & Science

خيارات الدراسة

دوام كامل (4 أعوام )

رسوم التسجيــل
CAD$13,450.68 (US$ 9,668) سنوياً
Mental Health and Wellness Fee: 24.53
تاريخ البدء

يناير 2028

مكان عقــد الدورة

St. Catharines Campus

1812 Sir Isaac Brock Way,

St. Catharines,

Ontario,

L2S 3A1, Central Canada, Canada

دوام كامل (4 أعوام )

رسوم التسجيــل
CAD$13,450.68 (US$ 9,668) سنوياً
Mental Health and Wellness Fee: 24.53
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

St. Catharines Campus

1812 Sir Isaac Brock Way,

St. Catharines,

Ontario,

L2S 3A1, Central Canada, Canada

شروط القبول

للطلاب الدوليين

To be admitted to a PhD program, a student should hold either an appropriate masters degree or, students with a bachelors degree already registered in a masters program, may convert to PhD studies in year 2 of some of the masters programs. Students will normally be expected to have attained an 80% average and have achieved significant research progress as determined by their supervisory committee.

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