Course Overview
Our MBA program in Al and Data Science is designed to equip you with the skills and knowledge you need to succeed in today's data-driven business world. Through a combination of cutting-edge coursework, you will learn to analyse and interpret complex data sets, develop predictive models, and leverage Al to drive business decisions. Our experienced faculty and industry experts will guide you through the latest tools and techniques in data science and Al, helping you to develop a deep understanding of how to leverage data and technology to drive innovation and growth. Join us and take the first step towards becoming a leader in this exciting field.Course Specialization
- MBA in Artificial Intelligence & Data Science
Course Tag
- Not Disclosed
Course Category
- Technology
Eligibility
- Required Qualification : Graduate
- Required Specialization : Relevant studies with complete 3 years of work experience is mandatory to apply for any MBA program Overall minimum 55% in last education
- Age Limit : 31
Priority Deadline
- 2024-03-01 to 2024-07-31
Course Features
-
Not Disclosed
Opportunities
-
Artificial Intelligence & Data Science
1. Big Data Analyst
2. User Experience (UX) Designer/Developer
3. Natural Language Processing Engineer
4. Researcher
5. Research Scientist
6. Software Engineer
7. AI Engineer
8. Data Mining and Analysis
9. Machine Learning Engineer
10. Data Scientist
11. Business Intelligence (BI) Developer
12. Big Data Engineer/Architect
13. Robotics Engineer
14. Computer Vision Engineer
BLOCK 1 - Cybersecurity Management and Governance
• Cybersecurity Fundamentals
• Cybersecurity Risk Management
• Organizational Behaviour
• Business Strategy
Project Management
• Business Ethics
BLOCK 2 - Blockchain &
Sustainable Finance
• Blockchain Technology
Cryptocurrencies & Fintech
• Blockchain Business Models
• Sustainable Development
BLOCK 3 - Foundations of IT
• Coding
• Advanced Coding
• Sustainable Strategies
BLOCK 4 - Data Analytics and Governance
Data Governance
Data Visualization
Data Exploration & Insight Generation
BLOCK 5 - Artificial Intelligence
• Artificial Intelligence Ecosystem
• Al & Machine Learning
Deep Learning & Neural Networks
• Legal Aspects of Artificial Intelligence
PROFESSIONAL TRAINING
Capstone Project
> Internship
In a company in France or abroad (optional)
Management of IT
Data Science Model Building
Application Procedure
-
To process for admission - complete set of all documents should be sent in original scanned clear copy as per checklist listed in one mail only.
(Xerox scan of documents is not accepted, do not forget to update cv before sharing)
(Make sure that you attach all documents as listed in one mail only, without missing any)
If you have shared incomplete documents, then I request you to please reshare again.
Download Brochure & Application Form
STEPS FOR ADMISSION:
PROCESS PLEASE MAIL COMPLETE SET OF ALL DOCUMENTS - Application form, Passport Size Photograph, Passport Copy, Updated Resume, SOP, all educational marksheets and certificates, semester wise marksheets / transcripts if any, IELTS score card, work experience if any, visa copy if any, any other additional documents if exists.
1. Forward complete set of all documents of the students in separate PDF. (Each split PDF should be named according to the documents only) - checklist and application form has not been attached. If you wish to get-then please let me know.
2. As soon we receive all documents, after verification, two rounds of interview will be scheduled - student need to crack both interview round and later within a week Conditional Offer Letter will be issued.
3. After getting offer letter student has to pay complete first year fees and 290 euros administrative cost through Bank transfer to the College account before the given deadline as per Conditional Offer Letter.
4. Once you forward me the Payment Receipt i.e., T.T (Wire Transfer) Copy of complete fees payment of the student; then within a week all admission letters required for visa process will be issued. Thus, later process for visa.
Course Price
€ 12290
- MQF / EQF Level:Not Disclosed
- ECTS:60
- Duration:1 year
- Intake Month :Sep - 2024
- Language:English
- Mode of Study:Full Time