M.E – Computer Science and Engineering

Program Overview

The M.E – CSE program focuses on advanced computing concepts, software systems, and emerging technologies. It equips students with strong analytical, research, and design skills required for high-end software development, research, and academic careers. Emphasis is placed on innovation, problem solving, and independent research.

Program Educational Objectives (PEOs)

• PEO 1: Apply advanced knowledge of computer science and engineering to analyze, design, and develop complex computing systems for industry and research applications.
• PEO 2: Pursue successful careers in advanced software development, system architecture, data analytics, artificial intelligence, research, and academia.
• PEO 3: Demonstrate research aptitude, innovation, and problem-solving skills to contribute to technological advancements and scholarly research.
• PEO 4: Exhibit professional ethics, leadership, effective communication, and lifelong learning to adapt to emerging technologies and societal needs.

Program Outcomes (POs)

• PO1 – Advanced Engineering Knowledge: Apply advanced mathematics, computer science principles, and engineering concepts to solve complex and research-oriented computing problems.
• PO2 – Problem Analysis: Identify, formulate, analyze, and solve complex engineering and research problems using advanced computational techniques.
• PO3 – Design and Development of Solutions: Design and develop efficient, scalable, and secure software systems and architectures that meet functional and non-functional requirements.
• PO4 – Research and Investigation: Conduct independent research, including literature review, experimentation, data analysis, and interpretation, to draw valid and original conclusions.
• PO5 – Modern Tool Usage: Select and apply advanced software tools, platforms, and frameworks for modeling, simulation, analysis, and implementation of computing solutions.
• PO6 – Ethics and Professional Responsibility: Apply ethical principles and professional standards while addressing legal, security, privacy, and societal issues related to computing systems.
• PO7 – Communication and Teamwork: Communicate effectively through technical reports, publications, and presentations, and function efficiently as an individual or as part of a multidisciplinary team.
• PO8 – Lifelong Learning: Recognize the need for continuous learning and adapt to rapid technological changes through self-directed and professional development.

Programme Specific Outcomes (PSOs)

• PSO 1: Design and implement advanced software systems, distributed applications, and cloud-based solutions using contemporary architectures and methodologies.
• PSO 2: Apply concepts of artificial intelligence, machine learning, data analytics, and big data technologies to solve complex real-world and research problems.
• PSO 3: Conduct independent and collaborative research, resulting in technical reports, dissertations, publications, or innovative solutions for industry and academia.

Curriculum Highlights

• Advanced Data Structures and Algorithms
• Advanced Operating Systems
• Advanced Database Management Systems
• Software Architecture and Design
• Distributed and Cloud Computing
• Artificial Intelligence and Machine Learning
• Data Analytics and Big Data Technologies
• Research Methodology and Technical Writing

Seminars, laboratory work, case studies, and a research-oriented dissertation form an integral part of the program.

Career Opportunities

• Senior Software Engineer
• System Architect
• Data Scientist / AI Specialist
• Research Engineer
• Academician or Lecturer