3-Year Program

The Bachelor of Science in Artificial Intelligence combines technical fundamentals, data analysis, business applications, and professional practice.

Languages of instruction: French / English

Year 1: Business, Data, and Digital Fundamentals

The first year provides students with the foundational knowledge needed to understand the business environment and the fundamentals of data.

Key takeaways:

• Introduction to Artificial Intelligence

• Python for Business Data – Basics

• Python Programming

• Introduction to Business Data Analysis

• Data Structures and Algorithms

• Digital Signal Processing

• Applied Statistics in Management

• Fundamentals of Data Management

• Database Principles and Applications

• Computer Networks

• Experiential marketing and phygitalization

• Market Research Methods

Students develop their initial skills in data analysis and gain an understanding of the digital challenges organizations face.

Year 2: Data Analysis and Decision-Making Tools

The second year builds on the technical and analytical skills needed to analyze data.

Key takeaways:

• Data visualization

• Data-driven decision-making

• Power BI (Business Intelligence)

• Fundamentals of Machine Learning and Deep Learning

• Natural Language Processing

• Data Exploration and Knowledge Processing

• Computer Vision and Image Processing

• Project Management and Agile Methods

Students learn how to turn data into strategic insights to support decision-making.

Year 3: Advanced AI Applications and Projects

The third year focuses onthe application of artificial intelligence technologies in business and marketing contexts.

Key takeaways:

• Fundamentals of Recommendation Systems

• Generative AI and Marketing

• Data projects applied to business challenges

• Reinforcement learning and intelligent decision-making

• Development of intelligent big data systems

• Multimodal AI and cross-linguistic understanding

• Training large language models

Students work on real-world projects that combine data, AI, and business strategyto develop their practical expertise

What teaching methods are used?

The curriculum is based on an experiential and career-oriented approach:

• Data and AI Projects

• Real-world case studies

• Technical workshops

• Group work

• Presentations by professionals

Students work on real-world business challenges.

What skills are targeted?

Upon completion of the program, graduates will be able to:

• Master the fundamentals of artificial intelligence and data

• Understanding business and decision-making challenges

• Use dataanalysis and visualizationtools

• Deploying AI solutions in marketing and management contexts

What are some possible career paths?

The Bachelor of Science (BSc) in Artificial Intelligence program prepares students for careers in rapidly growing fields such as:

• Data analyst

• Business Data Analyst

• Data/AI Consultant

• Data Analyst

• Data Marketing Analyst

• Product Analyst

• Data Project Manager

Graduates can also pursue a specialized master’s degree in data science, artificial intelligence, or business analytics.

What are the admission requirements?

• Admission after high school

• Parallel admission may be available (after one or two years of college)

What is the selection process?

• Application Form

• Job Interview