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.
B. Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) will prepare students for the emerging and exponential technologies of Industry 4.0. Artificial Intelligence (AI) enables computers and machines to perform tasks that typically require human intelligence. Machine learning (ML) allows computers to acquire intelligence by using algorithmic models that learn from patterns in past experiences and act without being explicitly programmed for a specific task. AI and ML are among the most exciting technologies of Industry 4.0 and have become so pervasive today that we use them frequently in our daily lives without even realizing it.
The B.Tech - Computer Science and Engineering (Artificial Intelligence and Machine Learning) program prepares students for Industry 4.0 technologies. It integrates Futurense Technologies Industry 4.0 certifications in Machine Learning and follows a project-based learning approach, leading to internships and career opportunities with MNCs and startups in India and abroad. Machine learning is a key aspect of Industry 4.0, enabling computers to learn and act without explicit programming. The course offers a global study abroad option and integrates certifications from Harvard Business Publishing. Students will receive a Conditional Letter of Intent from Futurense Technologies, aligning with the university's vision of creating new-age Technopreneurs.
Students in this program will be issued with a Conditional Letter of Intent (LOI)* from Futurense Technologies
On completion of the Artificial Intelligence and Machine Learning 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 | ||||||||
| 5th Semester | 6th Semester | 6th Semester | 7th Semester | 7th Semester | |||||||||
| Track - I | Internet of Things | Reinforcement Learning | Data Visualization and Storytelling | Cloud and Distributed Computing | ESG Analytics | ||||||||
| Track - II | Applications of AI | Blockchain Technologies for Data Science | Information Security Governance | Introduction to Big Data | Network Analytics | ||||||||
| Track - III | Smart Contracts | Geographic Information Systems (GIS) and Applications | User Experience User Interface Design (UX &UI) | Speech recognition and conversational systems | Microservice Architecture | ||||||||
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