Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.
The Artificial Intelligence & Data Engineering program focuses on providing students with the skills and knowledge needed to utilize trusted, AI-based, at-scale services (handling larger volumes) for business transformation and innovation.
The program offers additional data and platforms to enable faster and more reliable access to services. It also emphasizes operationalization, which helps students to overcome developmental delays that typically hinder AI (Artificial Intelligence) projects. The program enables students to benefit from all the core characteristics of a modern data & AI platform.
JAIN University in India has partnered with Futurense Technologies to provide students with early employment opportunities. Through an immersive learning model, students become Data Engineers in their second year, Machine Learning Engineers in their third year, and AI Engineers upon graduation. The program offers paid internships, mentorship from industry professionals, and the chance to study abroad. Additionally, the course integrates Harvard Business Publishing Certifications and emphasizes entrepreneurship, preparing students to become Technopreneurs. Students will receive a Conditional Letter of Intent from Futurense Technologies.
On completion of the Artificial Intelligence and Data Engineering program, students will possess the following program specific outcomes:
Duration of the program: 4 years
Department Specific Electives |
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DSE Tracks | Elective-I | Elective-II | Elective-III | Elective-IV | Elective-V | ||||||||
3rd Semester | 5th Semester | 6th Semester | 7th Semester | 7th Semester | |||||||||
Track - I | Artificial Intelligence and its solutions | Intelligent Systems | Domain Specific AI | Designing AI solutions | Recommender Systems | Human Computer Interaction (HCI) | |||||||
Track - II | Data Modelling and Analysis | Spreadsheet Modeling | Data Visualization and Storytelling | Data Centers | Social Network Analytics | Time Series Analysis | |||||||
Track - III | High Performance Computing | Fundamentals of Cloud Computing | Edge Computing | DevOps | Cloud Computing architecture | Geographic Information Systems (GIS) and Applications |
Computer Science and Engineering (Open Elective Baskets) |
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Sl. No | Finance and Accounting | Entrepreneurship and new venture creation | Marketing and Management |
1 | Finance for non-finance professionals | Entrepreneurship Theory and Practice | Marketing Management |
2 | Wealth Management | Launching and managing an enterprise | Consumer Behavior |
3 | Indian Financial System | Business Plan and Project Implementation | Brand Management |
4 | Financial Reporting | Sustainable Entrepreneurship | Product Management |
*Cost of certification will be paid by student on Actual basis