POs and PSOs

M.Sc.(Computer Science)

Program Outcomes 

PO1 : Disciplinary Knowledge – Apply advanced knowledge of computer science principles, programming paradigms, algorithms, operating systems, and mathematical foundations to solve complex computing problems.

PO2 : Problem Analysis and Solution Design – Identify, analyze, and model real-world computing problems; design efficient algorithms and software solutions using appropriate tools and techniques.

PO3 : Modern Tool Usage – Select, adapt, and apply modern software tools, platforms, frameworks, and emerging technologies (e.g., DevOps, Data Science, Cloud Computing) to develop innovative applications.

PO4 : Research, Innovation and Project Skills – Conduct investigations of complex problems using research-based knowledge and methods, including data collection, analysis, and interpretation, and demonstrate the ability to work on research and industry-oriented projects.

PO5 : Professional Ethics and Communication – Apply ethical principles, adhere to professional practices, and communicate effectively in academic, research, and industry environments through technical documentation, presentations, and teamwork.

PO6 : Lifelong Learning and Employability – Recognize the need for, and engage in, independent and lifelong learning in the broadest context of technological change to enhance employability and entrepreneurial capabilities.

Program Specific Outcomes

PSO1 : Programming and Software Development Competency – Demonstrate proficiency in advanced programming, software engineering, algorithm design, and the development of secure, scalable applications using modern languages and frameworks.

Advanced Java Programming, Operating Systems, Software Engineering, Design & Analysis of Algorithms, Compiler Design, Python Programming Lab, DevOps Methodologies Lab

PSO2 :Advanced Computing and Emerging Technologies – Apply specialized knowledge in areas such as Artificial Intelligence, Big Data Analytics, DevOps, Cloud Computing, Distributed Systems, and Data Science to address contemporary challenges.

Artificial Intelligence, Big Data Analytics, DevOps Methodologies, Cloud Computing, Data Science with Python, Data Science with R, Distributed Systems

PSO3 :Research Orientation and Real-world Application – Design, implement, and evaluate computational solutions and research projects that address real-world problems, integrating theoretical knowledge with practical tools and industry practices.

Project Work, Software Engineering Lab, Data Science Labs, AI Lab, Cloud & DevOps related courses, Mini Projects across semesters