Program Master of Science in Quantitative Finance (MQF) Lee Kong Chian School of Business Singapore Management University (SMU)

Master of Science in Quantitative Finance (MQF)

Singapura

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2

Apa yang akan saya pelajari?

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.

Jurusan Utama

  • Financial Data Science
  • Algorithmic Trading
  • Risk Analytics

Saya termasuk departemen apa?

Lee Kong Chian School of Business

Pilihan kuliah

Purna Waktu (18 bulan)

Biaya kuliah
SG$39.966,67 (Rp 471.795.354) per tahun
Batas akhir pendaftaran

Direncanakan May 2027

Tanggal mulai

Direncanakan Agustus 2027

Tempat

Singapore Management University

Administration Building,

81 Victoria Street,

Singapore,

188065, Singapore

Persyaratan masuk

Untuk mahasiswa internasional

  • 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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