Computer Science & Engineering (GenAI) in association with IBM

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.
Our CSE (Computer Science and Engineering) courses offer a wide range of subjects that cover the broad field of computer science and engineering. As students progress through this course, they can choose advanced courses in areas such as human-computer interaction, computer graphics and animation, artificial intelligence, machine learning, data science, natural language processing, computer networking, and computer security and privacy, among others. By taking more advanced courses, students become increasingly collaborative and creative. This program is offered in collaboration with IBM.
Computer Science and Engineering (CSE) is a highly sought-after discipline that integrates the principles of Computer Engineering and Computer Science. It encompasses core areas such as computer programming, networking, computation, algorithms, programming languages, as well as software and hardware systems.
Professionals in this field are involved in designing microprocessors, personal computers, supercomputers, and circuit systems, as well as developing advanced software solutions. This program is offered in association with IBM and includes a specialised track in Generative AI. CSE offers substantial advantages, including competitive salaries, strong job security, and opportunities to work in a dynamic and continually evolving technological landscape.
On completion of the CSE General program, students will possess the following programme-specific outcomes:
Professional Elective Courses |
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Track 1 – Full Stack Developer |
Track 2 – Data Engineering |
Track 3 – Blockchain |
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Backend Programming |
Data warehousing and data mining |
Mathematics of Modern Cryptography |
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Server-Side Scripting |
Data Analytics using SQL |
Introduction to Blockchain Technologies |
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Data modelling with NOSQL Database |
Data modelling with NOSQL Database |
Cryptocurrency Technologies |
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RestAPIs using Spring Boot Framework |
Big Data Analytics |
Smart Contracts |
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Front-end Framework using Angular and React |
Data Visualisation using Tableau |
Blockchain for Cyber Security |
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DevOps |
Database Security |
Blockchain Technology in Web Development |
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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.