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Online M.Tech For Working Professionals In Computer Science (CSE)

M.Tech in computer science engineering for working professionals with flexible timings is a professional master’s degree with a duration of two years. It is divided into four semesters. This course allows the learners to seek knowledge about machine learning, cloud computing, data mining, software engineering, data analytics, etc. You can opt for this course after fulfilling certain conditions, such as completing a B.Tech or B.E. degree course and having certain years of work experience. It has a blend of topics, such as color image processing, wavelets, multi-resolution processing, etc. This course will help you deepen your knowledge of computer science.
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Computer Science programs from top Universities

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Sanskriti University Engineering
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Computer Science From Sanskriti University Engineering

4.6/5

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₹ 1,60,000

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Lingaya's Vidyapeeth Engineering
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Computer Science From Lingaya's Vidyapeeth Engineering

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M.Tech for Working Professionals in Computer Science Course Subjects/Syllabus

The M.Tech in Computer Science Engineering Program for Working Professionals offers a wide range of engineering subjects, including algorithms, data structures, artificial intelligence, cybersecurity, etc. It thus ensures strong industry relevance, hands-on knowledge, and career skills in data analytics, computer networks, or data mining. A structured syllabus layout is as follows: 

M.Tech for Computer Science Engineering for Working Professionals Syllabus

Semester 1 

Semester 2

  • 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 Al & Soft Computing
  • Research Methodology and IPR
  • Data Mining and Data Warehousing
  • Elective II
  • Soft Computing & Al Lab
  • Data Mining Lab
  • Project with Seminar

Semester 3

Semester 4

  • 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 

 

*This is the general syllabus for reference; specific learners can connect with the university or professors.

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LogoFAQ's

Let's clear up some doubts

This program will take two years and include four semesters.

Machine-learning technologies, cloud computing, data analytics, artificial intelligence, software engineering, and many more.

Yes, numerous universities really present the program partially online or hybrid for that reason so that you can even study while at work.

No regular classes are for this course. Usually, sessions are conducted online, and if you miss something, it is recorded.

Any B.Tech or B.E. with relevant experience can apply.

Yes, work history in a field relevant to engineering or technology is generally mandatory.

You must visit the official site of the university, fill out the application form, submit documents, pay the fee, and await your email about admission. 

Yes, it is entirely meant for people who are working and provides flexible times for classes.

 

You will need your academic certificates, identification proof, work experience documents, and a passport-size photo.

 

Some specific universities may have an entrance exam, while many accept students based on past qualifications and work experience.

 

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