About the Program
Duration
4 Years
Annual Intake
40 Seats
B.Tech Computer Science Engineering (Honours in Artificial Intelligence & Machine Learning)
This program focuses on creating future-ready AI professionals with strong foundations in computer science. Students explore machine learning algorithms, neural networks, big data analytics, computer vision, and intelligent systems through project-based and research-driven learning.
The Proficient Learning Method, combined with support from all four university cells, ensures students gain innovation exposure, global learning opportunities, entrepreneurial skills, and strong placement outcomes. Graduates are well-positioned for top roles in AI, analytics, and advanced computing fields.
Key Features of PLM
Curriculum & Syllabus
| Code | Subject Name |
|---|---|
| BET1CE11301 | Java:Building Blocks of Programming |
| BET1XX11203 | Interactive Web Development: From Design to Code |
| BET1EE11301 | Basics of Electronics Engineering: Concepts and Applications |
| BET1XX11201 | English Proficiency-I |
| BET1XX11202 | Environmental Science: Solutions for a Better Tomorrow |
| BET1CEI1302 | Computational Mathematics - I |
| BET1ME10301 | Computer-Aided Engineering Design |
Video About Department
State-of-the-Art Infrastructure (Laboratories)
IOS Lab
An IOS lab typically refers to a hands-on environment where students, developers, or professionals can learn, experiment, and work on creating apps fo...
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Laboratories
200+
Equipment
Web Development Lab
A web development lab is a specialized space where individuals can learn and practice building websites and web applications. It is equipped with comp...
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Laboratories
200+
Equipment
Computer Lab
The computer laboratories across the campus comprise over six hundred computers for students and staff. The laboratories form an integral part of the ...
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Laboratories
200+
Equipment