Computer Science & Engineering (GenAI) in association with PwC
Computer Science & Engineering (GenAI) in association with PwC
Our Computer Science and Engineering (CSE) program offers a comprehensive curriculum that spans the broad and dynamic field of computer science and engineering. As students progress through the program, they have the opportunity to pursue advanced courses in specialised areas, including human-computer interaction, computer graphics and animation, artificial intelligence, machine learning, data science, natural language processing, computer networks, and cybersecurity, among others. These advanced subjects foster critical thinking, creativity, and collaborative problem-solving. The program is offered in collaboration with PwC, incorporating industry-aligned expertise and a dedicated track in Cloud computing and AI.
Computer Science and Engineering (CSE) is a highly sought-after discipline that combines the foundational principles of Computer Science and Computer Engineering. The field covers essential areas such as programming, networking, computation, algorithms, programming languages, and both software and hardware systems. CSE professionals contribute to the design and development of microprocessors, personal computers, supercomputers, circuit systems, and innovative software applications. This program is offered in association with PwC and features a specialised track in Cloud Computing and Artificial Intelligence, providing students with cutting-edge industry exposure. With its strong career prospects, including competitive salaries, job security, and opportunities to engage in an ever-evolving technological landscape, CSE remains a top choice for aspiring engineers.
On completion of the CSE General program, students will possess the following programme-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)
Professional Elective Courses |
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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.