Computer Science
The Computer Science department offers two academic programs. The B.Sc. Computer Science program was started in 1986–87, is an undergraduate course of 4 years duration, with an intake capacity of 80 students. The M.Sc. Computer Science program began in 2016–17, is a 2-year postgraduate course, and admits 30 students per intake.The Department of Computer Science is committed to delivering quality education, fostering innovation, and nurturing skilled professionals who can meet the evolving demands of the IT industry and society. The department provides a strong academic foundation combined with practical exposure to emerging technologies, research, and industry-oriented learning. Through a learner-centric approach, we aim to develop technically competent, ethically responsible, and socially aware graduates.
Our Mission
- To provide strong theoretical and practical knowledge in computer science and allied domains.
- To encourage students to adopt innovative thinking, problem-solving skills, and lifelong learning.
- To integrate academic learning with industry requirements through projects, internships, and collaborations.
- To inculcate professional ethics, teamwork, and social responsibility among students.
Objectives
- To offer a comprehensive curriculum aligned with current technological trends.
- To develop analytical, programming, and research skills among students.
- To motivate students to participate in seminars, workshops, certifications, and competitive exams.
- To prepare students for higher education, entrepreneurship, and successful careers in IT and related fields.
Features of the Department
- Well-structured curriculum as per university and industry standards.
- Well-equipped computer laboratories with updated software and internet facilities.
- Experienced and dedicated faculty members.
- Regular organization of guest lectures, industrial visits, workshops, and training programs.
- Focus on project-based learning, internships, and skill development activities.
Strengths
- Qualified and motivated faculty with academic and research experience.
- Supportive learning environment and student mentoring system.
- Strong emphasis on practical learning and hands-on experience.
- Active participation of students in academic, co-curricular, and extension activities.
- Consistent academic performance and placement support.
- Introduction of value-added and certification courses in emerging areas such as Data Science, Artificial Intelligence, Cyber Security, and Cloud Computing.
- Strengthening industry–institute interaction through MoUs and collaborative projects.
- Promoting research culture, innovation, and startup initiatives among students.
- Upgradation of laboratory infrastructure with advanced technologies.
- Encouraging faculty and students to engage in research publications and professional development activities.
Our Mission
- To provide strong theoretical and practical knowledge in computer science and allied domains.
- To encourage students to adopt innovative thinking, problem-solving skills, and lifelong learning.
- To integrate academic learning with industry requirements through projects, internships, and collaborations.
- To inculcate professional ethics, teamwork, and social responsibility among students.
Objectives
- To offer a comprehensive curriculum aligned with current technological trends.
- To develop analytical, programming, and research skills among students.
- To motivate students to participate in seminars, workshops, certifications, and competitive exams.
- To prepare students for higher education, entrepreneurship, and successful careers in IT and related fields.
Features of the Department
- Well-structured curriculum as per university and industry standards.
- Well-equipped computer laboratories with updated software and internet facilities.
- Experienced and dedicated faculty members.
- Regular organization of guest lectures, industrial visits, workshops, and training programs.
- Focus on project-based learning, internships, and skill development activities.
Strengths
- Qualified and motivated faculty with academic and research experience.
- Supportive learning environment and student mentoring system.
- Strong emphasis on practical learning and hands-on experience.
- Active participation of students in academic, co-curricular, and extension activities.
- Consistent academic performance and placement support.
- Introduction of value-added and certification courses in emerging areas such as Data Science, Artificial Intelligence, Cyber Security, and Cloud Computing.
- Strengthening industry–institute interaction through MoUs and collaborative projects.
- Promoting research culture, innovation, and startup initiatives among students.
- Upgradation of laboratory infrastructure with advanced technologies.
- Encouraging faculty and students to engage in research publications and professional development activities.