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Quick Facts

Total Fees
2.32 L

Fees Details

General

2.32 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

24 Months

Overview

The Master of Technology (M.Tech.) in Computer Science Engineering (CSE) at Chandigarh Engineering College, Jhanjeri, is a two-year postgraduate program designed to equip students with advanced knowledge and skills in the field of computer science. The curriculum is meticulously crafted to align with industry standards, ensuring that graduates are well-prepared for the demands of the modern technology landscape. Students are prepared to tackle complex challenges and drive innovation in technology through a combination of lectures, hands-on labs, and real-world projects.

Chandigarh Engineering College, Jhanjeri, provides a supportive and dynamic learning environment with state-of-the-art facilities, experienced faculty, and access to industry collaborations. The program encourages research and development, offering students opportunities to engage in groundbreaking projects and contribute to scholarly publications. The graduates of the M.Tech. CSE program are well-equipped for careers in academia, research, and industry, and are poised to become leaders and innovators in the technology sector.

Scope

M.Tech CSE at CEC Jhanjeri offers a wide range of career opportunities in the rapidly evolving field of computer science. Graduates can pursue roles in software development, artificial intelligence, machine learning, data analytics, cybersecurity, and network engineering. The program equips students with the advanced knowledge and skills necessary to excel in these in-demand fields, contributing to technological advancements and innovation.


Eligibility Criteria

Candidate must have completed B.E. / B. Tech. (CSE / IT / Software Engg. / Computer Engg. / Software Systems / Information Security / Cyber Security / Computational Engg. / Machine learning / IoT / Data Science) with at least 50% (45% in case of candidate belonging to reserved category).

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