Singapur'da Singapore Management University (SMU) Üniversitesinde Master of Science in Quantitative Finance (MQF) Eğitimi Alın

Master of Science in Quantitative Finance (MQF)

Singapur

9

Ne öğreneceğim?

The MQF curriculum is tailored to meet the needs of the financial industry in three key areas: pricing and hedging, risk analytics and management, and quantitative trading and investment.The programme duration for both the SMU MQF Local track and International track is 12 months. The Local track is also available in a part-time mode of study at 24 months. The same core modules and programme fees apply for both tracks.You will take your Term 1 and Term 3 Courses at SMU (Singapore), and Term 2 Courses at Bayes Business School (London, UK), and graduate with a Joint MQF degree from both institutions.The SMU MSc in Quantitative Finance is designed to equip you with both an in-depth knowledge of quantitative finance and a business-oriented, entrepreneurial mindset. As such, the curriculum will bridge both theory and practice, helping you build expertise and skillsets that you can immediately apply to solving real-world problems.The curriculum consists of nine core modules and four elective modules. You may choose to specialise in one of the following elective tracks: Financial Data Science, Algorithmic Trading and Risk Analytics.

Ana dallar

  • Financial Data Science
  • Algorithmic Trading
  • Risk Analytics

Hangi bölümdeyim?

Lee Kong Chian School of Business

Öğrenim seçenekleri

Full Time (18 ay)

Okul ücreti
SG$39,966.67 (TRY 1,034,575) Yıllık
Başvuru Tarihi

Planlanan May 2027

Başlangıç tarihi

Planlanan Ağustos 2027

Yer

Singapore Management University

Administration Building,

81 Victoria Street,

Singapore,

188065, Singapore

Giriş koşulları

Uluslararası öğrenciler için

  • Work experience is not required.
  • Good undergraduate degree from a reputable institution (in any field with some level of mathematical rigour)
  • Candidates who are passionate about quantitative and computational skills to tackle practical problems in pricing, hedging, risk management, algorithmic trading, portfolio management, and other cutting edge financial applications.
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