Bachelor of Mathematics in Mathematics/Financial Analysis and Risk Management دراسة University of Waterloo في

Bachelor of Mathematics in Mathematics/Financial Analysis and Risk Management

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Future quant. Develop strong mathematical and analytical skills for the financial industry. Enter the fascinating and lucrative world of finance with this challenging and prestigious program. You’ll learn how to implement statistical and mathematical methods to understand and forecast financial market behaviour. Take advantage of co-op work terms which can build your professional network and open doors for your career. Accredited by the Professional Risk Managers’ International Association (PRIMA), and one of only a handful across Canada recognized by the Chartered Financial Analyst (CFA) Institute, this program will give you a competitive edge in financial analysis and risk management careers.You’ll take courses in mathematics, statistics, and computer science with corporate finance, micro and macroeconomics, and other business-related courses to build a well-rounded resume.Graduate with the knowledge and skills needed to prepare for the CFA exams or to pursue other professional designations, such as Professional Risk Manager (PRM) or Fellow of the Canadian Securities Institute.

خيارات الدراسة

دوام كامل (4 أعوام )

رسوم التسجيــل
CAD$56,000.00 (US$ 40,252) سنوياً
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Waterloo Main Campus

200 University Avenue West,

Waterloo,

Ontario,

N2L 3G1, Central Canada, Canada

دوام كامل (4 أعوام )

رسوم التسجيــل
CAD$56,000.00 (US$ 40,252) سنوياً
الموعد النهائي للتسجيل

متوقع February 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

Waterloo Main Campus

200 University Avenue West,

Waterloo,

Ontario,

N2L 3G1, Central Canada, Canada

شروط القبول

للطلاب الدوليين

Applicants must have completed an Ontario high school diploma or equivalent. Ontario students: six Grade 12 U and/or M courses includingAdvanced Functions. Calculus and Vectors. Any Grade 12 U English. One other 4U course. Grade 11 Introduction to Computer Science is recommended. Admission averages: Individual selection from the high 80s.

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