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Is Online MTech Valid?

An online MTech is not valid in India as per the guidelines of the Supreme Court of India & AICTE. The major reason behind this decision is the technicality of this program, which cannot be matched through an online mode. Besides, considering the busy schedules of working executives & their professional needs, the same program in the name of M.Tech for working professionals has been introduced by many universities. This program is AICTE-approved & is offered in a modified format of learning that offers a great level of flexibility.
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M.Tech Online Course Subjects/Syllabus

The curriculum of this online MTech program is curated by some highly experienced experts & faculty members who have served the industry for over a decade. The prime focus of this semester-mode degree program is to equip working professionals with advanced knowledge of the field & the latest techniques or tools that have been added recently in the technical industry.

The syllabus of this online master of technology program is divided into 4 semesters. The exact subject list of these 4 semesters can be confirmed only after finalizing the specialization area of the program. To help you understand the level of academic detailing offered through this program, the curriculum of the online M.Tech in Computer Science Engineering is given below:

Semester I

Semester II

  • Mathematical Foundation of Computer Science
  • Big Data Analytics
  • Object-Oriented Design and Analysis
  • Advanced-Data Structure & Algorithm
  • Elective I
  • Object-Oriented Design Lab
  • Advanced-Data Structure lab
  • Trends in AI & Soft Computing
  • Research Methodology and IPR
  • Data Mining and Data Warehousing
  • Elective II
  • Soft Computing & AI Lab
  • Data Mining Lab
  • Project with Seminar

Semester III

Semester IV

  • Digital Image Processing
  • Data Science using Python
  • Machine Learning
  • Natural Language Processing and Text Managing
  • Elective III
  • Data Science using Python lab
  • Dissertation Preliminary
  • Seminar II
  • Elective IV
  • Dissertation
  • Seminar III

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Let's clear up some doubts

Subjects include Big Data, Machine Learning, Data Mining, NLP, and AI. Basically, all the buzzwords recruiters suddenly started worshipping after 2020

Yep. The curriculum is designed around modern industry tools and advanced technologies. Less outdated textbook theory, more “this might actually help at work tomorrow."

Absolutely. Labs, seminars, dissertations, and practical training are major parts of the program because technical education without projects feels suspiciously incomplete, honestly.

Yes, Machine Learning is one of the core subjects in later semesters. One friend joined just for ML and now casually uses words like “model accuracy” everywhere.

 

Students develop technical expertise, research ability, analytical thinking, and problem-solving skills. Fancy way of saying your brain stops fearing complicated systems eventually.

 

Definitely. AI, Soft Computing, Data Science using Python, and NLP are covered extensively. Modern tech courses basically can’t survive now without adding AI somewhere.

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