MSc Finance & AI

Campus

  • PARIS
  • THIONVILLE-LUXEMBOURG

Duration

  • 1 year

In Short

Intake

  • February
  • September

Pace

  • Initial

Graduation diploma

  • 5 years of higher education

Teaching languages

  • English English

Tuition fees

  • Septembre intake : €15,000 per year (Paris and Thionville)

  • February intake : €12,000 per year (Paris only)

     

Contacts

Promotion officier : 
François RAMONET
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Application Brochure

  • Description

  • Programme

  • Admissions & Tuition Fees

  • Career Opportunities

Presentation

The MSc Finance & AI trains experts to combine finance, data and artificial intelligence to support and automate financial decision-making.

The programme develops skills in financial modelling, Python programming, Machine Learning, risk management, algorithmic trading and data analysis.

Students also learn to address governance, ethical and regulatory issues, while developing their ability to manage FinTech projects and innovative solutions.

Program Objectives

  1. Analyze markets and financial data
  2. Model risks and performance
  3. Automate financial decisions using AI
  4. Lead FinTech and innovation projects
  5. Address governance, ethics, and compliance issues
  6. Develop smart and innovative financial solutions

Target Skills

  • Financial Analysis & Modeling
  • Data Engineering
  • Algorithmic Trading
  • Risk Management & Scoring
  • Governance, Ethics & Regulation
  • Leadership & Change Management

Program

  • Semester 1

    • Core courses + specialization courses

  • Semester 2

    • Core courses + specialization courses + intership (6 months)

Semester 1

Core Modules 

  • Social Responsibility and Corporate Ethics
  • Research Methodology
  • Project Management
  • Data Analysis for Decision Making 

Specialization Modules : Foundations in Finance Data & Machine Learning

  • Financial Markets & Risk Modeling 
  • Financial Econometrics in Python
  • Machine Learning for Finance
  • Data, Governance, and Regulation

Semester 2

Core Modules 

  • Digital Transformation
  • Leadership & Management
  • Change Management 

Specialization Modules : Advanced AU Applications & Financial Innovation

  • Fil Rouge / Mission Conseil 
  • Portfolio Management and Algorithmic Trading
  • Deep Learning for Finance
  • AI Risk & Fraud Analytics
  • Blockchain and Digital Assets

Internship and Final Project

  • 4- to 6-month internship
  • Presentation of the final project before a jury
     

Partnerships and Professional Networking

  • Co-taught modules: 
    Direct presentations by professionals on real-world case studies.
  • Fil Rouge Project : 
    Evaluation of student projects by a panel of professionals.
  • Site visits immersive experiences : 
    Access to innovation labs and trading floors in Luxembourg.

  • Priority hiring:
    Internship (4 to 6 months).

Admission

Admission requirements:

  • 240 ECTS credits minimum (applicants holding a 4-year degree / Bachelor’s degree equivalent to 240 ECTS)
  • English: proof of English proficiency is required during the application process (TOEIC, TOEFL, IELTS 6.0, etc.).

Contents of your application file

  • CV and cover letter
  • Identity document
  • Copy of degrees and transcripts

The admissions procedure

  • Review of the application
  • Candidate interview (30 minutes)

Contact

Admission services : 

Send message

Tuition fees

  • Septembre intake : €15,000 per year (Paris and Thionville)
  • February intake : €12,000 per year (Paris only)

Target Careers

  • Corporate Finance & Decision Making : 
    Financial Data Analyst, AI-Ehanced Credit Analyst, Financial Engineering Manager.  
  • Asset Management & Trading : 
    Assistant Portfolio Manager, Financial Risk Analyst, Junior Quantitative Analyst.  

 

  • Risk Management & Compliance : 
    AI Risk Manager, Fraud & Anti-Money Laundering (AML) Analyst, RegTech Consultant.
  • FinTech Consulting & Innovation : 
    Finance & Digital Transformation Consultant, AI & Finance Project Manager, FinTech Solutions Architect.