The Computer Science Department has ties with numerous industries to place our talented students in various fields like Machine Learning, Cloud Computing, and Data Science. We prepare students according to industry needs by providing them with training on a regular basis. This tie-up aims to equip our students with the skills and experience needed to excel in the tech industry, while fostering long-term innovation and research partnerships.

• Internship Programs
• Guest Lectures and Workshops
• Industry Projects
• Research Collaborations
• Industry Certification Programs 

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
• Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.
• Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.
• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings..
• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
• Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work as a member and leader in a team, to manage projects and in multidisciplinary environments.
• Life-long learning: : Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. 

• To provide Students with good breadth of knowledge in mathematical, scientific, computing and basic engineering fundamentals necessary to formulate, analyze and solve hardware/software engineering problems and/or also to pursue advanced study or research.
• To educate Students with proficiency in core areas of Computer Science Engineering and related engineering so as to comprehend engineering trade-offs, analyze, design and synthesize data and technical concepts to create novel products and solutions for the real-life problems.
• To instill in Students a sense of high professionalism, to work as part of teams on multidisciplinary projects and diverse professional environments needed for a successful professional career and relate engineering issues to the society, global economy and to emerging technologies.
• To provide our students with a learning environment consciousness of the life-long learning process to develop effective oral and written communication skills and to introduce them to written ethical codes and guidelines, show leadership and entrepreneurship and exhibit good citizenship. 

• To study the Statistical Analysis concepts with their relationships and process.
• To familiarize with describing data, transforming and summarizing.
• To understand testing hypothesis with real time applications.
• To apply the examining relationships to find the correlation and regression.
• To demonstrate and analyze using basic statistical techniques with different use cases.
• Demonstrate fundamental understanding of Artificial Intelligence (AI) and its foundation.
• Demonstrate basic concepts of problem solving, searching, inference, perception.
• Demonstrate proficiency in applying AI techniques in various domains.
• Apply basic principles of AI in solutions that require real world knowledge representation and learning.
• Demonstrate the real life examples of Artificial Intelligence .
• Demonstrate an ability to share in discussions of AI, its current scope and limitations and societal implications. 

Candidates should have passed 10+2 examination with Physics, Mathematics & Chemistry i.e. (PCM) for CE & ME and Physics, Mathematics & Chemistry/Computer Science for CSE and CSE AIML with minimum 45% of marks. Computer Science /Information Technology / Biology/ Informatics Practices /Biotechnology /Technical Vocational Subject/ Agriculture/ Engineering Graphics / Business Studies/ Entrepreneurship (40% in case of candidates belonging to reserved category) in the above subjects taken together.