Doctoral Program in Finance 24 months PHD Programme By National Taiwan University of Science and Technology (Taiwan Tech) |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

1,629 USDTuition Fee/year

Main Subject Area

FinanceMain Subject Area

Programme overview

Main Subject

Finance

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Doctoral Program in Finance is a two to seven-year program offered by the Graduate Institute of Finance (GIF) of the NTUST School of Management that qualifies students for careers in academia or in the international finance industry. Our research strengths are financial engineering, corporate finance, investment, behavioral finance, and quantitative analysis.
A Master's degree in a relevant area is an admission requirement. Fast-track PhD-programs that allow the admission of Bachelor Degree holders ("Direct Pursuit of the PhD") are currently not offered by the GIF. Our doctoral program also requires coursework (30 credits), and a Qualifying Exam has to be passed within the first three years of enrollment in the program. Although courses need to be attended during the program, our PhD education can be characterized as an individual doctorate, i.e. research and the writing of a dissertation under the supervision of one professor. The GIF encourages all PhD students to attend domestic and international academic conferences to become familiar with the academic career environment at an early stage. Students are required  to publish at least one  paper in a relevant scientific journal during their PhD studies. As Taiwan Tech is part of the NTU university system, an alliance of the three neighboring national universities NTUST, NTU, and NTNU, GIF doctoral students will have access to the resources offered by the alliance universities. International students can apply for scholarships (full or partial) from various sources, prior to their arrival in Taiwan or after.

Programme overview

Main Subject

Finance

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Doctoral Program in Finance is a two to seven-year program offered by the Graduate Institute of Finance (GIF) of the NTUST School of Management that qualifies students for careers in academia or in the international finance industry. Our research strengths are financial engineering, corporate finance, investment, behavioral finance, and quantitative analysis.
A Master's degree in a relevant area is an admission requirement. Fast-track PhD-programs that allow the admission of Bachelor Degree holders ("Direct Pursuit of the PhD") are currently not offered by the GIF. Our doctoral program also requires coursework (30 credits), and a Qualifying Exam has to be passed within the first three years of enrollment in the program. Although courses need to be attended during the program, our PhD education can be characterized as an individual doctorate, i.e. research and the writing of a dissertation under the supervision of one professor. The GIF encourages all PhD students to attend domestic and international academic conferences to become familiar with the academic career environment at an early stage. Students are required  to publish at least one  paper in a relevant scientific journal during their PhD studies. As Taiwan Tech is part of the NTU university system, an alliance of the three neighboring national universities NTUST, NTU, and NTNU, GIF doctoral students will have access to the resources offered by the alliance universities. International students can apply for scholarships (full or partial) from various sources, prior to their arrival in Taiwan or after.

Admission Requirements

71+

2 Years
Feb
Sep

Tuition fees

Domestic
1,629 USD
International
1,629 USD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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