Computer Science Engineering

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 (Deemed-to-be University) in India has partnered with global partners to provide students with early employment opportunities. Through a comprehensive learning approach, students transition into Data Engineers in their second year, advance to Machine Learning Engineers in their third year, and ultimately specialize as AI Engineers upon graduation. The program offers paid internships from 2nd year, mentorship from industry professionals, and the chance to study abroad. Additionally, the course integrates global industry Certifications and emphasizes entrepreneurship, preparing students to become Technopreneurs.
Students enrolled in the this program have the opportunity to pursue the M.Tech in Data Engineering program at IIT Jodhpur. Admission to this program follows a specific set of criteria as given below:
On completion of the Artificial Intelligence and Data Engineering 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 | ||||||||
| 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 |
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.