Computer Science Engineering
Computer Science Engineering
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.. 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.
On completion of the Artificial Intelligence and Machine Learning program, students will possess the following program specific outcomes:
A student who has passed 10+2 examination (level 4.0) with Physics and Mathematics as mandatory courses, along with one of the following: Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship, shall be eligible for admission to B.Tech. programmes. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
OR
Passed D.Voc. Stream in the same or allied sector.
(The University will offer bridge courses in Physics and Mathematics, along with Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship, for the students coming from diverse backgrounds to prepare level playing field and desired learning outcomes of the programme).
RESERVATION CATEGORY: The University follows the percentage of Reservation for SC/ST & OBC Category as prescribed by the Central Government.
Passed a minimum three-year / two-year (Lateral Entry) Diploma examination (Level 4.5) with at least 45% marks (40% marks in case of candidates belonging to reserved category) in any branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector.
(The University will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
Bachelor of Technology (Lateral Entry to Third Year): UG Diploma in Engg (Level 5.0)
Bachelor of Technology (Lateral Entry to Final Year): B.Voc. in relevant discipline (Level 5.5)
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.