UNDER GRADUATION Level

Computer Science and Engineering (Artificial Intelligence & Machine Learning)


About the Program

Duration

4 Years

Annual Intake

60 Seats

The Department Computer Engineering of GMIU offers Computer Science and Engineering Hon. in Artificial Intelligence & Machine Learning (PLM) is an academic programme that integrates the field of Computer Engineering and Computer Science. It is one of the most sought-after courses among engineering students. The course contains a plethora of topics but emphasises the basics of computer programming and networking. The topics covered in the course are computation, algorithms, programming languages, program design, computer software, computer hardware and others. Computer science engineers are involved in many aspects of computing, from the design of individual microprocessors, personal computers, and supercomputers to circuit designing and writing software that powers them. Many technical institutes in India and abroad offer UG (Undergraduate) and PG (Postgraduate) level courses in Computer Science Engineering. Students can do BTech and MTech in Computer Science Engineering from these institutes. Students pursuing these courses get to learn about the design, implementation and management of information systems of computer hardware and software.

Key Features of PLM

Skill-Based Examination
Stress-Free Teaching & Learning
Industry-Based Curriculum
Two-Hour Sessions
AI-Enabled Infrastructure
Latest Simulation Tools
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ADMISSION 2026-27

For admission regarding query:

+91 90999 51160 , +91 75749 49494
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Curriculum & Syllabus

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NEP-2020 BASED ACADEMIC STRUCTURE

Transforming Education with
Multidisciplinary Excellence

Aligned with the National Education Policy (NEP-2020), GMIU offers a revolutionary academic framework designed to provide students with unparalleled flexibility. Our multidisciplinary approach empowers learners to customize their educational journey through Minor specializations, Honours programs, and Dual Degree options, fostering holistic development and global employability.

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