Admission
BULLETIN
For Prospective Students,
We are looking for highly motivated students with a strong sense of responsibility and integrity who are passionate about financial innovation and decision analytics. Priority will be given to applicants with an undergraduate degree or background in the following fields:
Industrial Engineering
Mathematics or Statistics (with programming skills in Python)
Computer Science
Finance or Economics (with a minor in one of the above disciplines )
Overview
FINX Lab exclusively offers the MS-PhD and BS-MS(for HYU-IE students only) programs.
석박통합 및 한양대 산업공학 학석사 연계 과정만 선발.
A summer or winter tryout is mandatory before applying to the graduate program.
지원 전, 여름/겨울 연구실 트라이아웃 참여 필수 – 평가 후 입학 승인
Please read the information carefully before reaching out.
컨택 전, 반드시 정독!
Admission Process
To join the FINX lab as a graduate student, applicants must meet both of the following conditions:
① Lab Admission via Tryout
Applicants must obtain approval from the director through a summer or winter tryout.
Self-assess eligibility based on the [Requirements] below.
Submit an application by emailing the director (jwsong@hanyang.ac.kr) with:
A curriculum vitae (including a GitHub repository)
An academic transcript
At least one official English test score (TOEIC, TOEFL, or TEPS)
Application Deadlines:
May 31 – for the summer tryout (Fall admission)
November 30 – for the winter tryout (Spring admission)
Attend an interview with the director (only eligible applicants will be invited).
Pass the evaluation process to receive lab admission.
② Graduate School Admission
Applicants who gain lab admission must also secure official acceptance into the Industrial Engineering graduate program at Hanyang University.
Apply for the Industrial Engineering program at Hanyang University’s graduate school.
Pass the oral exam.
Receive official admission to the graduate school.
Requirements
ⓞ FINX Lab Degree Programs
FINX Lab offers the following degree programs:
MS-PhD Degree Program
BS-MS Degree Program (for HYU-IE students only)
① Academic Performance
Applicants must meet the following minimum GPA requirements:
MS-PhD Degree Program: 3.75/4.5 or higher
Equivalent to 3.30/4.0, 3.60/4.30, or 93/100
BS-MS Degree Program: 4.00/4.5 or higher
Equivalent to 3.50/4.0, 3.80/4.30, or 95/100
② Coursework Requirements
Applicants must have completed the following courses (or their equivalents) with a B+ or higher during their undergraduate or graduate studies:
Mandatory Courses:
Probability & Statistics
Calculus
Linear Algebra
Data Structures & Algorithms
Database Systems (with Query)
Programming-related course (C(++), Java, or Python)
Recommended Courses (HYU Course #):
Real Analysis (MAT4033)
Stochastic Processes (INE3080)
Investment Science & Portfolio Theory (INE2076)
Financial Engineering (INE3083)
Time-Series Analysis & Forecasting (INE3098)
Machine Learning & Data Mining (INE5008)
③ Certification Requirements
Applicants must hold at least one of the following certifications:
CFA Level 1 or higher (CFA Institute)
FRM Part 1 or higher (GARP)
Certified Financial Risk Manager (KOFIA) / 재무위험관리사
Certified Investment Manager (KOFIA) / 투자자산운용사
Certified Research Analyst (KOFIA) / 금융투자분석사
Certified Credit Analyst (KBI) / 신용분석사
Undergraduate Research Assistant & Tryouts
An undergraduate student is eligible for the undergraduate research assistant program if they meet any of the following conditions:
Admitted to the BS-MS or MS-PhD program.
MS-PhD applicants must pass the evaluation process through a summer or winter tryout to qualify for the undergraduate research assistant program.
Assigned to a specific task for a designated period by the director.
Please note:
Due to limited capacity, office space in the lab is not guaranteed for undergraduate research assistants or tryout participants.
Undergraduate research assistants and tryout participants must attend monthly lab meetings, where they can present and discuss the progress of their tasks.
A stipend is only guaranteed for undergraduate research assistants in the BS-MS program.
Compensation is awarded for undergraduate research assistants engaged in projects.