Curriculum Introduction

The overall course setting of MF program and teaching content of each course fully reflect the basic style to closely connect the development of international financial field with the actual conditions of domestic and foreign markets. The more balanced curriculum structure and different elective tracks fit well with the financial job market and demonstrate students’ professional skills.

Aimed at fostering the next-generation of talents, the MF-FinTech Program presents a curriculum focusing on three domains: Finance, Statistics & Machine Learning, and Computer Skills & Applications.

Two-Year English Program

Hard Skills

Academic

Compulsory Course

Restricted Electives

Free Electives

Soft Skills

ELSA Course

Student Activities

Charity Event

MF Union

Practice

LIVE Learning

Industry Sharing

International
Exposure

Student Exchange

Dual-Admissions Program

Career
Development

Workshops

Mentor Program

Counseling

Resume Writing

Interview Skills Coaching

Job Posting

MF General Track

Compulsory
Courses

Principles of Finance

Principles of Accounting

Derivative Securities

Macroeconomics

Financial Econometrics

Financial Markets

Business Writing

Presentation Skills

Restrictive
Electives

Capital Markets

Fixed Income Securities

Behavioral Finance

Corporate Finance

Merger,Acquisition and Reorganization

Securities Analysis &Valuation

Financial Reporting & Analysis

Common
Electives

Asset Management in Practice

Portfolio Management

Alternative Investments

Fraud and Compliance Management

Private Wealth Management

Structured Products: Design and Innovation

Venture Capital & Private Equity

Entrepreneurial Finance

Real Estate Finance

International Corporate Finance

Internal Control & Enterprise Risk Management

* Curriculum is subject to change

MF-FinTech Track

Finance

Principles of Finance

Fixed Income Securities

Derivative Securities

Financial Markets

Financial Econometrics

Financial Risk Management

Corporate Finance

Macroeconomics

Microeconomics

Principles of Accounting

Statistics &
Machine
Learning

Machine Learning: Foundations and Basics

Machine Learning (I): Methods and Applications in Finance

Machine Learning (II): Methods and Applications in Finance

Financial Mathematics

Financial Engineering

Computer Skills &
Applications

C++ Programming for FinTech

Introduction to Database and Applications

Block Chain: Principles and Applications in Finance

Cloud Computing Platforms

* Curriculum is subject to change