M.Tech – Computer Science & Engineering

Overview

The Department of Computer Science and Engineering (CSE) offers the Master of Technology (M.Tech.) programme in Computer Science and Engineering, designed to develop advanced technical expertise, research capabilities, and professional competencies among postgraduate students. The programme is supported by well-equipped laboratories, modern classrooms, advanced computing facilities, and a team of highly qualified, experienced, and dedicated faculty members. The M.Tech. CSE programme aims to prepare students for advanced roles in academia, research, and the IT industry by providing a strong foundation in advanced computing concepts, emerging technologies, and innovative problem-solving methodologies. The curriculum emphasizes both theoretical knowledge and practical applications, enabling students to address complex computing challenges and meet evolving industry requirements. The programme focuses on advanced areas such as Artificial Intelligence and Machine Learning, Data Science, Cloud Computing, Cybersecurity, Internet of Things (IoT),Distributed Systems, and Software Engineering. Students are encouraged to undertake research-oriented projects, industry-relevant applications, and innovative technology solutions to enhance their analytical, technical, and research skills. The programme prepares graduates for leadership roles in technology development, research and development (R&D), higher education, and advanced software engineering.

Duration:

2 Years (4 Semesters)

Eligibility Criteria :

Educational Qualification
Candidates must possess a B.E./B.Tech. degree in Computer Science and Engineering,Information Science and Engineering, Information Technology, or an equivalent/allied branch from a recognized university, as per the applicable admission regulations.

Minimum Marks

• General Category: Minimum 50% aggregate marks in the qualifying degree.
• SC/ST Category: Minimum 45% aggregate marks, subject to applicable regulations.

Entrance Examination

• Candidates may seek admission through a valid GATE score or Karnataka PGCET, as applicable under the prevailing admission guidelines.

Admission Process

• Admissions to the M.Tech. CSE programme are made through the applicable admission procedures, including Karnataka PGCET, GATE, and the institutional or university-level quota, wherever permitted by the prevailing regulations.

Vision

To develop the Department of Computer Science and Engineering into a centre of excellence in advanced computing, research, and technological innovation, producing technically skilled professionals, innovative leaders, entrepreneurs, and environmentally responsible citizens who contribute to national development and global technological advancement.

Mission

• M1 – Academic Excellence: To provide holistic, outcome-based postgraduate education through advanced computing curricula, innovative teaching methodologies, practical learning, and continuous curriculum enrichment.
• M2 – Industry Integration and Employability: To strengthen industry–institute interaction and develop advanced technical, analytical, and professional competencies that meet global industry requirements.
• M3 – Research and Innovation: To promote research, interdisciplinary collaboration, entrepreneurship, and technology development to solve complex engineering and societal problems.
• M4 – Professional Ethics and Sustainability: To inculcate professional ethics, leadership, environmental awareness, social responsibility, and lifelong learning, enabling graduates to become responsible professionals and job creators.

Programme Educational Objectives (PEO’s)

PEO1 : – Professional Competence – Establish successful careers in industry, academia, research organizations, or technology enterprises by applying advanced knowledge and skills in Computer Science and Engineering.
PE02 : Research and Innovation – Demonstrate research aptitude, critical thinking, and innovation to develop, evaluate, and disseminate advanced computing solutions for real-world problems.
PE03 : Leadership and Entrepreneurship – Demonstrate leadership, teamwork, project management, and entrepreneurial skills to develop technology-based products, services, and sustainable solutions.
PE04 : Ethics and Lifelong Learning – Pursue continuous professional development while upholding ethical principles, environmental sustainability, and social responsibility.

Program Outcomes (POs)

PO1: Advanced Knowledge : Apply advanced mathematical, computational, and engineering knowledge to solve complex problems in Computer Science and Engineering.
PO2: Problem Analysis : Identify, formulate, and analyse complex computing problems using critical thinking, scientific principles, and relevant research literature.
PO3: System Design/Development : Design, develop, and evaluate computing systems, algorithms, and software solutions that address specified technical, industrial, and societal requirements.
PO4: Research and Investigation : Conduct systematic research using appropriate methodologies, experimentation, simulation, and data analysis to derive valid and evidence-based conclusions.
PO5: Modern Tools & Technologies : Select and apply appropriate computational tools, advanced software platforms, and emerging technologies while understanding their capabilities and limitations.
PO6: Ethics and Sustainability : Evaluate the ethical, legal, privacy, security, environmental, and societal implications of computing solutions and apply responsible professional practices.
PO7: Communication and Collaboration : Communicate technical and research findings effectively and collaborate with multidisciplinary teams in academic,industrial, and professional environments.
PO8: Leadership and Lifelong Learning : Demonstrate leadership, project management, entrepreneurship, and a commitment to lifelong learning and continuous technological advancement.

Program Specific Outcomes (PSO’s)

PS01: Advanced Computing –Apply advanced algorithms, computational models, and software engineering principles to design and implement efficient, scalable,reliable, and maintainable computing systems.
PS02: Emerging Technologies and Applications – Evaluate and apply appropriate technologies, including Artificial Intelligence, Machine Learning, Data Science, Cloud Computing,Distributed Systems, and Cybersecurity, to develop intelligent, secure, and data-driven solutions.
PS03: Research and Technological Innovation – Identify research gaps, formulate computing research problems,conduct systematic investigations, validate proposed solutions, and communicate innovative findings through technical reports, publications, prototypes, or other appropriate research outputs.

Vision–Mission–PEO alignment

The following is a proposed alignment for consideration by the BoS.

Mission / PEO	PEO1	PEO2	PEO3	PEO4
M1 – Academic Excellence	✓	✓
M2 – Industry Integration	✓		✓
M3 – Research and Innovation	✓	✓	✓
M4 – Ethics and Sustainability			✓	✓

PSO–PO correlation matrix

Proposed correlation levels: 1 – Low, 2 – Moderate, 3 – High, – – No direct correlation.

PSO / PO	PO1	PO2	PO3	PO4	PO5	PO6	PO7	PO8
PSO1 – Advanced Computing	3	2	3	1	3	–	–	1
PSO2 – Emerging Technologies	2	2	3	1	3	2	1	1
PSO3 – Research and Innovation	2	3	2	3	2	1	2	2

The correlations should be validated against the approved course outcomes, laboratory components, electives, research methodology course, and dissertation requirements.