Presentation of the Bachelor in Data Analytics & AI
The Bachelor in Data Analytics & AI equips students with the technical, analytical, and business skills needed to thrive in a data-driven world. Through a hands-on, project-based approach, students learn to collect, analyse, and interpret data, while leveraging artificial intelligence to solve complex business challenges. The program covers key areas such as data visualization, machine learning, programming, and decision-making. By combining academic excellence with real-world applications, graduates develop the expertise to transform data into strategic insights and drive innovation across industries in an increasingly digital economy.
Why choose the Bachelor?
Learn by doing
Through hands-on projects, real datasets, and practical business cases, you will develop the skills employers are looking for. From data visualization to AI applications, every course is designed to help you apply concepts in real-world contexts and build a strong professional portfolio.
Prepare for the future
Data and AI are transforming every sector of the global economy. This program equips you with the tools, mindset, and adaptability needed to thrive in emerging roles, drive innovation, and pursue a wide range of international career opportunities.
Master in-demand skills
Gain expertise in data analytics, artificial intelligence, programming, and machine learning. The curriculum combines technical knowledge with business understanding, preparing you to turn complex data into actionable insights and contribute to strategic decision-making across industries.
+20 000
alumni
Part of the Paris School of Business Network
Bachelor Data Analytics & AI Program (2026/27)
1st Year
- Programming
- Calculus I
- Understanding Information Systems
- Tech Tools for Management
- College English I
- Ideology, Morality and the Rule of Law
- Military Theory
- National Security Education
- Physical Education I
- Calculus II
- Data Structures
- Applications, Programming & Cloud Computing
- Managing and Leveraging Company Data
- Fundamentals of Management
- General Theory of Economics
- General Theory of Law
- College English II
- Mental Health of College Students
- Physical Education II
2nd Year
- Introduction to Data Science
- Probability Theory and Mathematical Statistics
- Database Systems
- Opportunities and Risks of a Technological Solution
- Introduction to Cybersecurity and Data Protection
- Low-Code Application Development
- Legal-Business Management
- Digital Jurisprudence
- Python for Data Science
- Fundamentals of Data Engineering
- Business Intelligence
- Statistics and Quantitative Techniques
- Project Management
- Product Management
- Agile Methodology Scrum Master
- Strategic Analysis and Business Models
- Principles and Architecture of Information Systems
- Linear Algebra
- Professional Research Paper Writing
- Law and Economics
3th Year
- Machine Learning
- Big Data Technologies
- Big Data Management Methods and Applications
- Operational Research Foundation
- Research Methodology
- Intelligent Big Data Analysis and Decision-Making
- Digital Transformation
- Leveraging Disruptive Technologies (Blockchain, VR, IoT)
- Security Risk Management
- Innovation and Change Management in Technology
- AI Development Strategy
- Project Management Integrating AI
- Natural Language Processing (NLP)
- Deep Learning
- Data Privacy and Compliance in Cybersecurity
- Comprehensive Experiment and Practice in Data Engineering
- Graduation Internship
- Professional Thesis
4th Year
- Internship
- Applied Industry Experience
- Professional Thesis
- Final Data Analytics & AI Project
What to do after the Bachelor Data Analytics & AI?
Professional integration
Unlock diverse career opportunities in data, AI, and digital innovation. Graduates develop the analytical, technical, and business skills sought by organizations across industries, preparing them for high-demand roles in a rapidly evolving digital economy.
- Data Analyst
- Business Intelligence Analyst
- Junior Data Scientist
- Data Engineer
- Machine Learning Analyst
- AI Analyst
- Information Systems Analyst
- Digital Transformation Consultant
- Product Analyst
- Cybersecurity & Data Protection Analyst
How to join the Bachelor Data Analytics & AI?
The admissions process for the Bachelor's program consists of an application review, an English language test, and a one-to-one interview.
1.
Apply
Download and send us our application form or apply with our online application
2.
Application Review
The Paris School of Business admissions committee carefully reviews your application.
3.
Individual Interview
You will attend a motivation interview either in person or remotely to validate your admission.
Download our Brochure
Paris School of Business processes the collected data in order to manage your requests for information and support you in your orientation. We inform you that Paris School of Business uses your data for marketing purposes to personalize and adapt its service offers to your needs and to establish statistics and marketing profile models. By providing your contact details, you agree to be contacted by our advisers from Monday to Friday from 9:30 to 19:00. Your data will be kept for a period of 3 years; to learn more about the management of your personal data and to exercise your rights, please consult the school's data protection policy or send an email to the data protection officer of the school of your choice. Data protection policy
Paris School of Business processes the collected data in order to manage your requests for information and support you in your orientation. We inform you that Paris School of Business uses your data for marketing purposes to personalize and adapt its service offers to your needs and to establish statistics and marketing profile models. By providing your contact details, you agree to be contacted by our advisers from Monday to Friday from 9:30 to 19:00. Your data will be kept for a period of 3 years; to learn more about the management of your personal data and to exercise your rights, please consult the school's data protection policy or send an email to the data protection officer of the school of your choice. Data protection policy