MBA in Artificial Intelligence & Data Science
MBA in Artificial Intelligence & Data Science
Register from our site
Programme operated by Ascencia Business School
Presentation
Duration: 1 year – 2 semesters
2 days of classes per week
Academic level required: 3/4 years of university studies
Intake: February and September
RNCP Certified
This MBA in AI & Data Science is aimed at professionals and recent graduates who have successfully completed 3/4 years of university studies in any discipline and wish to start or pursue a career in the international business world. The international diversity of the participants enables a multicultural richness when it comes to teamwork or project development.
In our campus located in « La Grande Arche de la Défense », in the heart of the first European business district, you will gain the theoretical knowledge and practical experience necessary to get involved in a wide range of business projects within international organisations.
As part of this programme, students prepare for the Level 7 professional qualification “Artificial intelligence project manager”, awarded by Ascencia Business School, a member of the Collège de Paris, and registered in the Répertoire National des Certifications Professionnelles under No. 36129.
International Students – ADMISSION CHECKLIST
- Resume
- Passport Copy (Front & Last Page)
- SOP (Statement of Purpose)
- Passport Size Photo
- Work Experience (If Any)
- Scanned Copy of Application Form (Duly Filled & Signed)
- Additional Certificates (If Any)
- Marksheets, Transcripts, Consolidated, Provisional & Degree Certificates for all levels viz. school, high school, bachelors.
- English Level Required: IELTS (6)
STUDYING BENEFITS
- Training 100% in English
- Students are legally allowed to work 20 hrs a week
- Accommodation: Government benefit (CAF)
AFTER STUDY JOB OPPORTUNITIES
- Data Analytics
- Data Science Manager
- Security Analyst
- Market Research Analyst
- Technical Services Manager
- Business Intelligence Developer
- Data Architect
Program
- • Cybersecurity Fundamentals
- • Cybersecurity Risk Management
- • Organizational Behaviour
- • Project Management
- • Business Ethics
- • CT French
- • Blockchain Technology
- • Cryptocurrencies & Fintech
- • Blockchain Business Models
- • Sustainable Development
- • CT French
- • Coding
- • Advanced Coding
- • Management of IT
- • Sustainable Strategies
- • CT : French
- •Data Governance
- •Data Visualization
- • Data Exploration & Insight Generation
- • Data Science Model Building
- • CT : French
- • Artificial Intelligence Ecosystem
- • AI & Machine Learning
- • Deep Learning & Neural Networks
- • Legal Aspects of Artificial Intelligence
- • Professional Report
- • CT : French
Program contents are indicative and subject to changes, as College de Paris constantly improves its curriculum according to evolutions in the business world.
