Computer Science & Engineering

(Specialization in AI & ML, Data Science, Cyber Security, IOT & CS including Blockchain)

Department Overview

The Department of Computer Science and Engineering is enriched with competent and well qualified faculty members to bring out the best in students. Ever since its inception, the Department has always been on a high growth pace with a strong dedication to provide engineering education. The department has well equipped laboratories with internet, web application facilities accessible on LAN and Wi-Fi are available for students to provide them hands-on experience on latest softwares and technological tools used in the industries. Seminars, corporate training, workshops are conducted by experts to prepare students as future software professionals. PDP classes are conducted to pour add-ons to their technical skills. Many of our students graduated through campus, find placements in more than one organizations.

Future Plans for the Computer Science & Engineering Department

1. Enhancing Academic Excellence

• Introduce specialized elective courses in emerging areas like Artificial Intelligence, Machine Learning, Block chain, and Quantum Computing.
• Develop interdisciplinary programs and collaborations with other departments.
• Strengthen the curriculum to align with industry trends and research advancements.

2. Research and Innovation

• Establish dedicated research labs for cutting-edge technologies like IoT, Data Analytics, and Cybersecurity.
• Encourage faculty and students to publish in high-impact journals and participate in prestigious conferences.
• Promote innovation by initiating hackathons, coding competitions, and startup incubation programs.

3. Industry Collaboration

• Forge partnerships with leading tech companies for internships, live projects, and industry-sponsored research.
• Invite industry experts for guest lectures, mentorship programs, and curriculum development.
• Launch certification programs in collaboration with global technology providers like Microsoft, Google, and AWS.

4. Student Empowerment

• Organize regular skill-development workshops focusing on coding, soft skills, and entrepreneurial mindsets.
• Provide access to global online learning platforms like Coursera, edX, and Udemy for continuous learning.

Foster a supportive environment for competitive exams like GATE, GRE, and professional certifications.

AI & ML, Data Science & Cyber Security

AI & ML, Data Science & Cyber Security has consistently excelled in all its initiatives and has stood united in addressing challenges to deliver high-quality education. Our department comprises a dynamic blend of faculty with both academic excellence and industry experience, ensuring students receive a well-rounded and future-ready education.

Beyond academics, the department actively fosters research and encourages students to participate in curricular and extracurricular activities. We prepare students for diverse career opportunities in the government sector, leading tech industries, and entrepreneurship through hands-on training, live projects, skill development programs, and ethical management education.

The department is a vibrant hub of learning, offering students meaningful engagement through workshops, seminars, certification programs, technical festivals, innovative R&D initiatives, and industrial visits. These activities provide a platform for students to gain practical exposure and sharpen their technical and soft skills.

Student Development Initiatives:

The Department of AIML and DS organizes a variety of events under student associations that enhance both academic and co-curricular capabilities. These initiatives aim to foster leadership, collaboration, and innovation among students.

Future Plans for the AI & ML, Data Science & Cyber Security:

1. Curriculum Enhancement:

• Introduce soft skills training focused on communication, teamwork, critical thinking, and problem-solving to prepare students for global industry demands.

2. Research and Development:

• Establish advanced research labs dedicated to AI, machine learning, deep learning, robotics, and quantum computing.
• Encourage faculty and students to publish research in reputed journals and present their work at international conferences.

3. Skill Development and Certifications:

• Offer industry-recognized certification programs in high-demand domains such as AWS, Google Cloud, Microsoft Azure, Data Analytics, and AI tools.

4. Placement and Career Development:

• Strengthen campus placement drives through enhanced industry collaborations and partnerships with leading tech firms.
• Provide personalized career counseling and mentoring programs to support students’ professional growth.

5. Alumni Engagement:

• Build a robust alumni network to support current students through mentoring, internships, and job referrals.