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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Quantitative Finance MSc

Key facts

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 1 year
Intakes
Tuition (Local students) Data not available
Tuition (Foreign students) B$ 38,943

Subjects

  • Finance

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Duration

1 year

Tuition fees

Description Local students Foreign students
Tuition fee Data not available B$ 38,943
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance Data not available B$ 38,943
Estimated cost per year Data not available B$ 38,943

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Admissions

Intakes

Entry Requirements

  • A UK 2.1 or above, or the equivalent from an overseas institution.
  • Previous degree must be in a highly quantitative subject such as mathematics, physics or engineering.
  • IELTS an average of 7.0 with a minimum of 6.5 in the writing section and no less than 6.0 in any other section.

Curriculum

Term 1

  • Asset Pricing
  • Numerical Methods 1: FoundationsDerivatives
  • Foundations of Econometrics

Term 2

  • Fixed Income Securities
  • Numerical Methods 2: Applications in Finance
  • Risk Analysis
  • Econometrics of Financial Markets

Term 3

  • MSc Research Project