MSc Financial Engineering

Nanyang Business School, NTU Singapore

Program Description

MSc Financial Engineering

Nanyang Business School, NTU Singapore

A unique graduate program, the Master of Science in Financial Engineering (MFE) empowers you to succeed as a dynamic professional in the world of high technology finance. Learn from world-class faculty and industry seasoned professionals how to implement solutions in areas such as risk management, product structuring, quantitative trading, quantitative research and financial information technology. Stay ahead of industry developments in this multi-disciplinary program that is also offered in collaboration with Carnegie Mellon University, USA:

Highlights of the MFE 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)
  • World-class faculty
  • Insights from industry professionals
  • State-of-the-art infrastructure
  • Strong alumni network

The program will equip you with concepts and techniques in Finance, Computer Science, and Mathematics. You will learn how to apply sophisticated engineering tools to financial problems, utilizing complex analytical and quantitative methods, enabling you to tackle challenging problems in high-technology finance.

Program Structure

You will be required to complete 20 core courses and 4 elective courses. The curriculum will be taught over 3 trimesters (1 year). If you wish to undertake the program on a part-time basis, you will require 6 trimesters (2 years).

Each trimester is divided into 2 mini-terms of 7 weeks each, with two recesses, one in December-January, and another in April-May (Exact dates to be confirmed).

CMU Term

You will spend the first 5 mini-terms in Nanyang Business School in Singapore and the final 7-week mini-term (Mini Term 6) in Carnegie Mellon University (CMU) in the US (subject to US visa approval if applicable). The CMU term is compulsory for all full-time students. Part-time students may opt out of this, but this should be done during the time of application and is subject to the final approval of Nanyang Business School. The remaining courses will be completed at NTU to fulfill graduation requirements. Tuition fees are unchanged for students who opt out of the CMU term. On the successful completion of CMU term courses, you will be awarded a Certificate in Computational Finance by CMU.

Core and Elective Courses

MFE courses are divided into 3 main groups:

  • Financial Mathematics & Statistics
  • Finance
  • Computing

Preparatory Courses

In addition, we provide preparatory courses in Mathematics, Finance, and Programming. No extra credits will be given for these courses. The Math preparatory course is designed for those who want to refresh their math before they embark on the MFE program proper. This course is compulsory for all incoming MFE students who will be required to register, attend all classes as well as sit for the test at the end of the course. The Finance Preparatory course introduces participants to the basics of finance and applications. It provides an overview of finance, basic theory, terminology and tools commonly used in finance. The Programming Preparatory course is beneficial for participants who want to get a head start in programming to prepare for the MFE course as well as getting a glimpse of what financial industry practitioners are doing.

Collaboration Partner

As an MFE student, you will gain a distinctive edge in your Financial Engineering education and experience through our collaboration with Carnegie Mellon University (CMU), which has been ongoing since the program’s inception in 1999.

CMU’s Tepper School of Business is one of the first business schools in the world to emphasize interdisciplinary thinking. It is the pioneer in introducing a master’s level program, the Master of Science in Computational Finance, which integrates computer science, mathematics, and finance. You will spend your last mini-term (7 weeks) at the Carnegie Mellon Campus in Pittsburgh (subject to the approval of US visa if applicable). There, you will complete 4 courses, taught by the Carnegie Mellon faculty.

CMU will award you a Certificate in Computational Finance when you complete the courses.

Participant Profile

The MFE student is a high-achiever - exceptionally focused, goal-oriented and vigorous. He/She is an excellent problem-solver and thrives in mathematics.

Faculty

You will be taught by an experienced team of professors from NTU and Carnegie Mellon University. Our professors bring many years of industry experience in their respective fields.

Respected industry professionals are also invited to participate in the delivery of the courses, as part of the Speaker Series.

Facilities

The Financial Trading Rooms are fully equipped with state-of-the-art terminals, trading simulation software, video-conferencing facilities, coupled with Bloomberg and Reuters 3000 Xtra.

Career

Graduates from the MFE program work primarily in the financial services industry. Careers vary but usually revolve around risk management, quantitative asset management, product structuring, quantitative trading, quantitative research, financial information technology as well as other areas of high-technology finance. Employers include investment banks, commercial banks, financial consultants, financial and database software suppliers, financial regulators, treasury & finance departments of MNCs, exchanges and energy companies. To prepare graduates for the industry, workshops on professional grooming, interview skills, and resume writing are conducted for students. An online resume portal is also made available to recruiters interested to consider our graduates for employment. Students are also expected to be actively involved in the job search process.

The NTU MFE program is well-known and has a good reputation in the industry. Our graduates have made a significant impact in the financial industries locally and internationally. Based on recent year’s records, 95% of our graduates are placed within 3 months of graduation.

Admission Requirements

  • A good undergraduate degree in applied mathematics, applied science, statistics, computer science, engineering, economics, or other quantitative fields. We will also consider applicants from other disciplines.
  • A good GMAT or GRE score. This is compulsory. You may take either the GMAT or GRE although the GRE is preferred. For GRE, please take the General Test. GMAT/GRE must be taken within the last five years at the time of submitting your application.
  • A minimum of two years relevant working experience after obtaining the first degree is preferred, but not required.
  • TOEFL is required if the medium of instruction during your undergraduate studies was not in English. Please indicate Institution code no. 6538. IELTS is accepted in place of TOEFL.
This school offers programs in:
  • English


Last updated January 30, 2018
Duration & Price
This course is Campus based
Start Date
Start date
July 2019
Duration
Duration
1 - 2 years
Part time
Full time
Price
Price
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Deadline
Locations
Singapore - Singapore
Start date : July 2019
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Dates
July 2019
Singapore - Singapore
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Videos

MSc Financial Engineering Alumni Chill out Event