FINANCIAL
TECHNOLOGY

PHD OVERVIEW
Program Name
  • Master of Philosophy in Financial Technology
  • Doctor of Philosophy in Financial Technology
Program Short Name
  • MPhil(FinTech)
  • PhD(FinTech)
Mode of Study
  • Full-time
  • Part-time
Normative Program Duration
  • MPhil

    Full-time: 2 years
    Part-time: 4 years
  • phD

    Full-time: 3 years (with a relevant research master’s degree), 4 years (without a relevant research master’s degree)
    Part-time: 6 years
Program Advisor
  • Program Head: Prof Ning CAI
Introduction

Financial Technology (FinTech) is an important emerging area that has been developing rapidly in recent years.It refers to the application of cutting-edge technologies and advanced analytics on various financial services, such as mobile banking, peer-to-peer lending, digital payments, blockchain, and cryptocurrencies, aiming to improve service efficiency, promote financial innovations, and increase end-user satisfaction.

FinTech is a priority development area at HKUST. The proposed program nurtures young talents, equips students with knowledge and skills that generate research and innovative solutions to meet the challenges posed by this emerging field, and facilitates collaboration amongst Hong Kong, the Greater Bay Area (GBA) and countries in nearby regions on FinTech education, research and commercialization, while strengthening knowledge transfer to bridge Hong Kong’s gap in high-tech manufacturing. This matches well with the University’s mission to advance learning and knowledge through teaching andresearch.

The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Financial Technology provide training and education for students to undertake advanced research and have a sound grasp of developments in FinTech.
Students graduating from these programs should be able to conduct and apply high-quality research that makes an impact on FinTech research and practice in academia and/or industry.
The programs focus on advanced research with an aim to place graduates in academia, research institutes, and industry jobs that appreciate research capability and quality.

Learning outcomes
On successful completion of the MPhil program, graduates will be able to:
MPhil
01
Identify and synthesize current research in FinTech;
02
Compare and contrast state-of-the-art knowledge in FinTech and relevant reference disciplines (e.g., accounting, finance, computer science, mathematics), and apply such knowledge in driving FinTech research, practice, and innovation;
03
Analyze, design, and execute FinTech research by utilizing proper research methodologies; and
04
Communicate the developed FinTech knowledge and research with the academic and practitioner community.
On successful completion of the PhD program, graduates will be able to:
PhD
01
Identify and synthesize current research in FinTech;
02
Compare and contrast state-of-the-art knowledge in FinTech and relevant reference disciplines (e.g., accounting, finance, computer science, mathematics), and apply such knowledge in driving FinTech research, practice, and innovation;
03
Analyze, design, and execute FinTech research by utilizing proper research methodologies;
04
Communicate the developed FinTech knowledge and research with the academic and practitioner community; and
05
Create original, substantive, and impactful knowledge to advance the state of FinTech research and practice.
Note:

For MPhil in FTEC, please visit https://vptlo.hkust-gz.edu.cn/ or contact rbm@hkust-gz.edu.cn for details.

PHD PROGRAM SPECIFICS
Program Progression
First Year coursework
Qualifying Written Exam Fin+Tech
Qualifying Oral Exam
First year survey paper + oral presentation
PhD candidacy
Other required coursework
Thesis and oral defense
PhD degree conferred
Curriculum

Minimum Credit Requirement

MPhil: 15 credits

PhD: 21 credits

* Credit Transfer: Students who have taken equivalent courses at HKUST or other recognized universities may be granted credit transfer on a case-by-case basis, up to a maximum of 3 credits for MPhil students, and 6 credits for PhD students.

1
Cross-disciplinary Core Courses

2 Credits


UCMP 6010

Cross-disciplinary Research Methods I

2 Credit(s)

UCMP 6020

Cross-disciplinary Research Methods II

2 Credit(s)

UCMP 6030

Cross-disciplinary Design Thinking I

2 Credit(s)

UCMP 6040

Cross-disciplinary Design Thinking II

2 Credit(s)


All students are required to complete either IIMP 6010 or IIMP 6030. Students may complete the remaining courses as part of the credit requirements, as requested by the Program Planning Committee.

2
Two Hub Core Courses

4 Credits

Students are required to complete at least one Hub core course (2 credits) from the Society Hub and at least one Hub core course (2 credits) from other Hubs.


Society Hub:

SOCH 5000

Technological Innovation and Social Entrepreneurship

2 Credit(s)

Hub Core Course of other 3 Hubs (Hub core Course from other three hubs:

FUNH 5000

Introduction to Function Hub for Sustainable Future

2 Credit(s)

INFH 5000

Information Science and Technology: Essentials and Trends

2 Credit(s)

SYSH 5000

Model-Based Systems Engineering

2 Credit(s)


Students are required to complete at least one Hub core course (2 credits) from the Society Hub and at least one Hub core course (2 credits) from other Hubs.

3
Program Required Courses

FTEC 5101

Microeconomic Theory *

3 Credit(s)

FTEC 5031

Advanced Probability Theory *

3 Credit(s)

FTEC 5032

Optimization Theory *

3 Credit(s)

FTEC 5040

Financial Technology Research

3 Credit(s)

FTEC 5100

Research in Corporate Finance *

3 Credit(s)

FTEC 5110

Research in Asset pricing *

3 Credit(s)

FTEC 5030

Statistics for Fintech *

3 Credit(s)

* PQE required. Finished in the first year.

Program Required CoursesProgram Required CoursesProgram Required Courses

4
Program Elective Courses

To meet individual needs, students will be taking courses in different areas, which may include but not limited to courses and areas listed below.

FTEC 5050

Machine Learning and Artificial Intelligence

3 Credit(s)

FTEC 6000

FinTech Attachment

2-4 Credit(s)

ACCT 7720

Doctoral Seminar – Research in Managerial Accounting, Auditing and
Governance

4 Credit(s)

ACCT 7730

Doctoral Seminar – Research in Financial Accounting

4 Credit(s)

ACCT 7740

Empirical Research in Governance, Contracting and Auditing

2-4 Credit(s)

COMP 5211

Advanced Artificial Intelligence

3 Credit(s)

COMP 5212

Machine Learning

3 Credit(s)

COMP 5221

Natural Language Processing

3 Credit(s)

COMP 5631

Cryptography and Security

3 Credit(s)

COMP 6211

Advanced Topics in Artificial Intelligence

3 Credit(s)

COMP 6613

Topics in Applications of Computer Science and Engineering

3 Credit(s)

ECON 5040

Economics of Financial Technology

2 Credit(s)

ECON 5130

Microeconomic Analysis

4 Credit(s)

ECON 5210

Microeconomic Theory I

4 Credit(s)

ECON 5300

Econometrics

4 Credit(s)

FINA 7900

ATheoretical Corporate Finance

3 Credit(s)

FINA 7900

BTheoretical Asset Pricing

3 Credit(s)

FINA 7900

CEmpirical Corporate Finance

3 Credit(s)

FINA 7900

DEmpirical Asset Pricing

3 Credit(s)

MATH 5470

Statistical Machine Learning

3 Credit(s)

MATH 5471

Statistical Learning Models for Text and Graph Data

3 Credit(s)

MATH 6510

Topics in Financial Mathematics

2-4 Credit(s)

5
PhD Qualifying Examination (PQE)

The objective of the Ph.D. Qualifying Examination is to assess students’ general knowledge of Fintech area and understanding of fundamental principles, as well as the ability to apply these principles to solving problems. The PQE provides an early assessment of students’ potential to meet the requirements to obtain their doctoral degree. Ph.D. students are required to pass the qualifying examination within the first 22 months after admission, with a maximum of two attempts.

The PQE at the Fintech Thrust consists of two components, a first-year critical survey paper and a written comprehensive exam.

Please see detailed PQE guidelines below (link to files):

Fintech PQE Guidelines

6
Postgraduate Seminar

FTEC 6101

FinTech Program Seminar

1 Credit(s)

Students are required to complete FTEC 6101 or its equivalent. The credit earned cannot be counted toward the credit requirements.

7
Graduate Teaching Assistant Training

All full-time RPg students are required to complete PDEV 6800. The course is composed of a 10-hour training offered by the Center for Education Innovation (CEI), and session(s) of instructional delivery to be assigned by the respective departments. Upon satisfactory completion of the training conducted by CEI, MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed.

PDEV 6800

Introduction to Teaching and Learning in Higher Education

0 Credit(s)

8
Professional Development Course Requirement 

PDEV 6770

Professional Development for Research Postgraduate Students

1 Credit(s)

Students are required to complete PDEV 6770. The 1 credit earned from PDEV 6770 cannot be counted toward the credit requirements.

***PhD students who are HKUST MPhil graduates and have completed PDEV 6770 or other professional development courses offered by the University before may be exempted from taking PDEV 6770, subject to prior approval of the Program Planning Committee.

SOCH 6780

Professional Development in Innovation, Technology, and Social Responsibility

1 Credit(s)

Students are required to complete SOCH 6780. The 1 credit earned from SOCH 6780 cannot be counted toward the credit requirements.

***PhD students who are HKUST MPhil graduates and have completed SOCH 6780 or other professional development courses offered by the University before may be exempted from taking SOCH 6780, subject to prior approval of the Program Planning Committee.

9
English Language Requirement

LANG 5000 Foundation in Listening & Speaking for Postgraduate Students 1 Credit(s)
Full-time RPg students are required to take an English Language Proficiency Assessment (ELPA) Speaking Test administered by the Center for Language Education before the start of their first term of study. Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG 5000 until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation. The 1 credit earned from LANG 5000 cannot be counted toward the credit requirements.

LANG 5001

Postgraduate English for Engineering Research Studies

1 Credit(s)

LANG 5002

Postgraduate English for Business and Social Science Studies

1 Credit(s)

LANG 5010

Postgraduate English for Science Studies

1 Credit(s)

Students are required to take one of the above three courses. The credit earned cannot be counted toward the credit requirements.
Students can be exempted from taking this course with the approval of the Program Planning Committee.

10
Graduation Thesis

FTEC 6990

MPhil Thesis Research

0 Credit(s)

FTEC 7990

Doctoral Thesis Research

0 Credit(s)

MPhil:

  1. i.Registration in FTEC 6990; and
  2. ii.Presentation and oral defense of the MPhil thesis.

PhD:

  1. i.Registration in FTEC 7990; and
  2. ii.Presentation and oral defense of the PhD thesis.

For details on the policies and procedures on your graduation thesis, please refer to the student handbooks’ Guidelines on Thesis Research section.

PHD ADMISSION
Admission Requirements
1
General Admission Requirements of the University

Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification;

Applicants seeking admission to a doctoral degree program should have obtained a bachelor’s degree with a proven record of outstanding performance from a recognized institution;
or presented evidence of satisfactory work at the postgraduate level on a full-time basis for at least one year, or on a part-time basis for at least two years.

2
English Language Admission Requirements

Applicants have to fulfill English Language requirements with one of the following proficiency attainments:

TOEFL-iBT: 80*

TOEFL-pBT: 550

TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)

IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5

* refers to the total score in one single attempt

Applicants are not required to present TOEFL or IELTS score if

their first language is English, or

they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.

Admission and Application
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PhD in Fintech
Email: ftect@hkust-gz.edu.cn
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