Computer Science Engineering
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 global certifications. The program offers internships from 2nd year, aligning with the university's vision of creating new-age Technopreneurs.
Furthermore, students enrolled in the this program have access to Futurense Online Courses in collaboration with Global Partners. These courses offer a diverse range of subjects including Emerging Tech, Programming, Tech Leadership, Project and Product Management. Moreover, students can expect to earn a minimum of four certificates from Global Partners each year, culminating in a total of 16 certificates over the span of four years.
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:
Enhance your B.Tech experience with the option to pursue a Minor Degree from IIITH and gain unique opportunities for academic and professional growth!
Key Highlights of the UG Minor Degree Program from IIITH:
Certificate Issuance:
Minor Degree Recognition:
Research Internships:
Note:
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 |
Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.