At a Glance
Academic Excellence Meets AI-Driven Innovation
The INSEAD MIF provides a rigorous education designed for young professionals (0-2 years of work experience), preparing you to lead in a finance sector shaped by AI and global change. Alongside strong technical foundations, you will develop leadership, resilience, communication skills and a broader strategic perspective through subjects such as strategy and the global economy. AI is embedded throughout the curriculum, including core courses in machine learning and financial technology tailored to the evolving needs of the finance industry.
Programme Structure
4
Months Pre-Programme10
Months Curriculum6
Months Professional Experience13
Core Courses3
Specialised Tracks10+
ElectivesYour Learning Journey
Designed for your first major role in finance, the programme combines four months of pre-programme study, ten months of core curriculum and six months of professional experience. You will build essential skills, apply them through practical learning weeks and tailor your journey through specialised track options. Studying across Europe and Asia, you will graduate with the skills and perspective to launch a successful career in finance.
Course Curriculum
Period 0
Online Foundations
- Data, statistics and business fundamentals
- Programming foundations
- Data analytics platforms onboarding (Bloomberg, LSEG etc)
- Interview Preparation
Period 1
Fontainebleau
Core Courses
4 Core Courses
- Corporate Finance I
- Capital Markets
- Financial Accounting
- Data Science for Finance
Launch Week (Mid-August Start)
Period 2
Fontainebleau
Deepening Expertise
4 Core Courses
- Corporate Finance II
- Investments & Asset Management
- Global Economy
- AI & Deep Tech for Finance
1 Practical
- M&A Practical
Period 3
Fontainebleau
Specialisation Begins
5 Core Courses
- Advanced Valuation
- Sustainable Finance
- Private Equity
- Financial Statement Analysis
- Adv. Micro for Fin. Markets
1 Practical
- Investment Fund Practical
Period 4 & 5
SINGAPORE
Your Specialised Track
Students select one of three specialisation tracks to align with career goals:
Track 1: Wealth Management
Track 2: Corporate Finance & Private Markets
Track 3: Open Track
Professional Exposure
WORLDWIDE
Conclude your MIF journey by applying what you have learnt by joining a company, either as an intern or a full-time employee. This professional exposure period of 6 months allows you to build work experience and conduct a final analysis on the industry you have joined.
Students will also have the option to return back for curriculum. However, they will still need to complete internships alongside their classes.
Launch Period
You will experience INSEAD’s signature business simulation, take language classes and begin your career development journey with an introduction to industries, recruitment processes and in-demand skills. The launch period also includes team-building and cultural awareness activities, helping you build strong relationships and collaborate effectively within a diverse, international cohort.
Three Specialised Paths. One Goal: Your Success
At the end of Period 3, you will choose a specialisation track that aligns with your career ambitions.
-
Wealth Management
-
Required Courses (3)
- Wealth Management
- Hedge Funds
- Trusted Advisor
- Family Offices
-
Corporate Finance & Private Market
-
Required Courses (3)
- Advanced Applied Corporate Finance
- Corporate Restructuring
- Entrepreneurial Finance
- Private Credit
- Search Funds: Entrepreneurship Through Acquisition
-
Open Track
-
For flexible career paths.
There is no fixed course pathway. You may select courses from across the available tracks or choose electives that best support your individual goals.
Designed for the AI Era
Artificial intelligence is reshaping financial decision-making, from portfolio optimisation to risk management. At INSEAD, you will not only understand this shift, but learn how to apply it with confidence. From generative AI to algorithmic trading, industry-standard tools and real-world applications are embedded throughout your learning journey. Learn More
Machine Learning
Build models that forecast asset prices, automate credit decisions and optimise multi-asset portfolios.
Generative AI
Apply large language models (LLMs) and agentic AI to research, advisory work and workflow automation.
Real-World Application
Deploy live models in practicals, analyse real market data and solve industry challenges during your professional experience.
Our Faculty
Associate Professor of Finance
Associate Professor of Finance
Assistant Professor of Decision Sciences
Associate Professor of Entrepreneurship and Family Enterprise
At INSEAD, we blend rigorous analytical training with a forward-thinking approach, equipping you to shape the financial world of tomorrow.”
Dean of the Europe Campus
Any Questions?
Or try recently asked questions:
