All India Ranking 2025

About Department

Established in 2020, the Department of Computer Science Engineering & Artificial Intelligence is a dynamic academic hub committed to shaping future-ready professionals by uniquely blending core computer science fundamentals with cutting-edge specializations in AI.

With an annual intake of 360 students, the department has rapidly matured into a significant center of learning, backed by a highly qualified and diverse faculty team with academic backgrounds from premier institutions, including IITs, NITs, and renowned government engineering colleges. A key highlight of the department is its Cyber Security Center of Excellence, which serves as a dedicated platform for research, innovation, and skill development.

This is complemented by a rigorous focus on experiential learning, project-based pedagogy, and continuous industry interaction, equipping graduates with the technical proficiency and confidence required in today's evolving technology landscape. As a result, the department has consistently delivered strong placement outcomes, with students regularly securing competitive roles in top-tier technology companies, innovative startups, and advanced research laboratories. Guided by a commitment to academic rigor, innovation, and ethical technological practices, the department stands as a premier center of excellence for students aspiring to transform the global landscape through AI and secure computing.
email: [email protected]

Course	Duration	Affiliation	Approvals
B.Tech	4 years	Dr. A.P.J. Abdul Kalam Technical University	AICTE

The Department offers

The Department offers four years Bachelor’s Degree Program in Computer Science and Engineering (Artificial Intelligence) with an intake of 360. The Department organises various Seminars, Workshops, Conferences, Symposiums, Short term training and Certifications in the field of Artificial Intelligence and its applications.

NVIDIA DGX A100 SYSTEM SPECIFICATIONS
GPUs	8x NVIDIA A100 Tensor Core GPUs
GPU Memory	320 GB total
Performance	5 petaFLOPS AI 10petaOPS INT8
NVIDIA NVSwitches	6
System Power Usage	6.5kW max
CPU	Dual AMD Rome 7742, 128 cores total, 2.25 GHz(base), 3.4 GHz (max boost)
System Memory	1TB
Networking	8x Single-Port Mellanox ConnectX-6 VPI 200Gb/s HDR InfiniBand 1x Dual-Port Mellanox ConnectX-6 VPI 10/25/50/100/200Gb/s Ethernet
Storage	OS: 2x 1.92TB M.2 NVME drives Internal Storage: 15TB (4x 3.84TB) U.2 NVME drives
Software	Ubuntu Linux OS
System Weight	271 lbs (123 kgs)
Packaged System Weight	315 lbs (143kgs)
System Dimensions	Height: 10.4 in (264.0 mm) Width: 19.0 in (482.3 mm) MAX Length: 35.3 in (897.1 mm) MAX
Operating Temperature Range	5°C to 30°C (41°F to 86°F)

AI Infrastructure Facilities - NVIDIA DGX A100

The Department has an established NVIDIA AI Learning and Research Centre in collaboration with NVIDIA. The AI Research Centre comprises of High-End Computing facility with NVIDIA DGX A100 server, which is a High-End AI Supercomputer. The DGX A100 is the world's first 5 petaflops AI system build on NVIDIA A100 Tensor Core GPU's, Integrating 8 A100 GPUs with 320GB GPU memory. The establishment of this research centre has led researchers to pursue AI oriented Research work and projects which are essential for the upcoming society needs.

The Degree program is spread over four years with two semesters in each year. Students study five theory courses and work on assignments in two or three laboratory courses in each semester. The first year of engineering is common to all disciplines. The students learn basic courses in Computer Science and Engineering, such as Discrete Structures, Data Structures, Operating Systems, Digital Electronics, Theory of Computation and Microprocessors in second year of engineering. The courses such as Artificial Intelligence, Machine Learning Techniques, Analysis of Algorithms, Databases, Software Engineering, Computer Networks etc. are offered in the third year of engineering. Students present seminar on topics as per their interest and also carry out a mini project in a group of 3/4 students during their second and third year of engineering. In the final year engineering, students not only study core courses such as Distributed systems, Object Oriented Modelling, Advanced Computer Architecture but also choose elective courses as per their interest. Students also carryout project work as per the industry demands.