Department Vision
- Empowerment of students with advanced mastery in core computer science, artificial intelligence, and emerging technologies, enabling them to address complex global challenges.
- Inculcation of lifelong learning, strong professional ethics, and a sense of responsibility toward societal development.
- Cultivation of postgraduates committed to developing sustainable, ethical, and socially responsible technological solutions.
- Bridging the gap between academia and industry through the promotion of research-driven entrepreneurship and professional leadership.
Department Mission
- Provide state-of-the-art laboratory infrastructure and a research-driven ecosystem supporting high-performance computing and advanced software development.
- Deliver a rigorous, research-integrated curriculum that encourages innovation beyond conventional computing paradigms.
- Promote cross-disciplinary collaboration and critical thinking to design intelligent systems addressing socio-economic needs.
- Develop strong technical, analytical, and managerial competencies to prepare graduates for leadership roles in industry and academia.
- Instill professional ethics and integrity to ensure responsible and sustainable use of technology.
- Build strategic partnerships with global technology leaders and research institutions to solve real-world problems through collaborative innovation.
- Nurture adaptable, lifelong learners capable of thriving and leading in a dynamic, data-driven global environment.
- Course Structure
Program Outcomes
- The broad objective of the programme is to prepare students for productive careers in academia and computing industry by providing smooth environment for teaching and research in the core and applied areas of the discipline.
- Computing Knowledge: Apply fundamental principles of computer science, programming, and mathematics to solve real-world problems.
- Curriculum Balance: To keep a balance between fundamental concepts, core areas of computer science and specialized skills required to adapt to the needs of the constantly evolving computing industry.
- Industry and Innovation Readiness: Adapt to emerging trends in IT, AI, cloud computing, cybersecurity, and data analytics.
- Lifelong Learning: Engage in continuous learning and professional development to stay updated with evolving technologies.
- Project Management and Leadership: Demonstrate leadership skills in managing projects, resources, and team collaborations.
- Entrepreneurship and Career Growth: Develop entrepreneurial skills and industry- oriented expertise for career advancement.
- Research and Innovation: Encourage creativity and research-based solutions for technological advancements.
Program Specific Outcomes
- Demonstration of professional competence in teamwork, project management, and leadership roles in multidisciplinary computing projects.
- Implement the concept of theory and technology with classical and modern techniques for solving the complex problems in Computer Science.
- Utilization of research methodologies and experimental techniques to analyze, interpret, and validate computational solutions.
- Be more curious towards learning new and emerging technologies adapt quickly to changes.
- Application Development focuses on creating system designs and delivering solutions to meet hardware and software requirements effectively.
- Know the contextual knowledge in computing science research and communicate effectively with stakeholders with the society at large for enhancing the quality of life.
- Be honest in upholding the ethical principles and social responsibilities along with socio- economic innovations.
- Contribution to societal development by applying computing technologies to domains such as healthcare, education, environment, and governance.