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M. Tech. in Computer Science and Engineering

Overview

The Master of Technology in Computer Science and Engineering represents a cutting-edge postgraduate programme meticulously designed to prepare students with advanced knowledge and skills vital to navigate in the field of computer science and engineering.

Boasting a well-rounded curriculum, the programme encompasses fundamental components such as the mathematical foundations of computer science, advanced data structures, algorithms, and software engineering methodologies. This is further enriched by programme-specific electives in cyber security, open elective courses, and culminates in the execution of dissertation or industrial projects, delivering a holistic and immersive learning experience.

Complementing interactive lectures, the programme adopts a collaborative learning approach through group projects and presentations. A research-oriented approach to offer students opportunities to participate in cutting-edge research projects or independent studies.

Duration

Two Years / Four Semesters

Commence of the course


Course Duration

Two Years


Mode of Study

Eligibility


B.E. / B.Tech. with minimum 50% marks or equivalent in CGPA in Computer Science/Information Technology or MCA.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.


Key Features

Dynamic learning methodology with a focus on active engagement and collaboration..

Participation in interactive lectures for deeper understanding and critical thinking.

Collaborative projects and presentations to enhance teamwork and problem-solving skills.

Research-oriented approach, providing opportunities for cutting edge exploration.

Hands-on application through practical experience with software tools and hardware components.

Emphasis on industry alignment, featuring relevant projects, internships, and continuous learning.

Programme Structure

Career Opportunities

Graduates of M. Tech. in Computer Science and Engineering can pursue diverse career roles such as Software Engineer/Developer, System Architect/Designer, Data Scientist/Data Analyst, Machine Learning Engineer, Network Engineer, Cybersecurity Analyst/Engineer, Database Administrator, Cloud Solutions Architect, Research Scientist (Academia/Industry Labs), Project Manager, Technical Consultant, Teaching/Professorship, and Quality Assurance (QA) Engineer.

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