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MSc Financial Engineering

MSc Financial Engineering


Course Highlights

  • 7 weeks at Carnegie Mellon (US), Students stay back & work in Singapore

  • Get recruited by Banks & company like Singapore Exchange, JP Morgan

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Duration: 365 Days

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Professionals with 1-4 years of experience with background in Math, Statistics, Engineering, Technology, Business, Economics, Finance, Computer Science etc

  • Fresh graduates from top-tier colleges who want to build a career in Investment Banking & Finance

What are the course deliverables ?
  • Internationally-renowned program

  • 7 weeks at Carnegie Mellon University, USA

  • Expertise from 2 NTU schools - Nanyang Business School (NBS) and School of Physical and Mathematical Sciences (SPMS)

  • Strong alumni network

  • Insights from industry professionals

  • Learn how to apply sophisticated engineering tools to financial problems, utilising complex analytical and quantitative methods, enabling you to tackle challenging problems in high-technology finance.

More about this course
  • The program is designed for students with 1-2 years of experience as well as fresh graduates in Math, Statistics, Engineering, Technology, Business, Economics, Finance, Computer Science etc

  • The program provides students with a broad-based education in high technology finance, combining the technical and conceptual advances in Computer Science, Mathematics and Finance

  • Program integrates Quantitative and Qualitative Finance for practical use of advanced financial techniques in the industry prepares participants to meet the challenges and rigors of the new marketplace

  • The program is offered in collaboration with Carnegie Mellon University, USA

  • Prominent Recruiters from past batches - Singapore Exchange, PwC, Ernst & Young, Deutsch Bank, JP Morgan, Asian Development Bank, Goldman Sachs, Calyon Corporate and Investment Bank, Algorithmics and many more

  • A good GMAT or GRE Score

  • Bachelors Degree, Masters or Ph.D in relevant field (Mathematics, Applied Science, Statistics, Computer Science, Engineering, Economics, Business, Commerce, Finance, Accounting, Technology or other quantitative fields etc.)

  • TOFEL / IELTS in case the medium of instruction during your Degree Programme was not English.

  • Work experience – Preferred, Fresher graduates can also apply

I am Interested


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