M.Tech – Computer Science and Engineering

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Program Description
Tuition Fee
Important Dates
Admission Process
Admission Requirment
Full Syllabus
Placements & Opportunities

Code20302
DeliveryFull-time
Length2 Years
CredentialM.Tech Computer Science and Engineering

Program Description

M. Tech. Computer Science and Engineering programme provides you with deep understanding in the field of computer science. It develops in you an ability to analyse complex engineering problems and generate research based solutions. The post graduates will apply the knowledge of computer science subjects to identify and solve complex engineering problems across a broad range of application areas. They will be hired in various sectors including computers, Data Scientist, research scientist, Market researchers, Academician and many others.

Tuition Fee

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Yearly

Semester

1st Year ₹1,05,000
2nd Year ₹75,000

1st Sem ₹67,500
2nd Sem ₹37,500
3rd Sem ₹37,500
4th Sem ₹37,500

Important Dates

Dates are tentative & subject to notification of state govt/regulatory bodies

Dates
Online Registration Starts on
Slot Booking for online examination
Dates of Entrance Examination #
Date of Admission

Schedule
Started
Ongoing
June- July
June- July

Last Date : Refer Application Page

M.Tech Computer Science and Engineering
Admission Process

01

Complete
the Application

02

Get Shortlisted
and Receive the
Letter

03

To Book Your
Seat Asap

M.Tech Computer Science and Engineering
Admission Requirement

Passed BTech (CSE/IT) or MCA. Obtained at least 50% marks in the qualifying examination.

M.Tech Computer Science and Engineering Syllabus

Semester 1

Course Code	Course Title	L	T	P	Credits
CSE5708	Mathematical Foundations of Computer Science	3	0	0	3
CSE5001/CSE5001L	Advanced Database Management Systems	3	0	4	5
CSE5002/CSE5002L	Advanced Algorithmic Analysis	3	0	4	5
COM5701	Engineering Communication	3	0	0	3
CSE5744	Research Methodology and Publication Ethics	2	0	0	2
CSE5701	Advanced Computer Architecture	3	0	0	3
	Total Credits				21

Semester 2

Course Code	Course Title	L	T	P	Credits
CSE5709	Knowledge Representation & Reasoning	3	0	0	3
	Department Elective -I	3	0	0	3
	Department Elective-II	3	0	0	3
CSE5003/CSE5003L	Cloud Computing Fundamentals	3	0	2	4
CSE5808	Parallel Algorithms	3	0	0	3
SEM5001	Seminar				1
	Total Credits				17

Semester 3

Course Code	Course Title	L	T	P	Credits
CSE6501	Minor Project	0	0	0	3
CSE6701	Soft Computing	3	0	0	3
	Open Elective -I	3	0	0	3
	Department Elective -III	3	0	0	3
	Department Elective-IV	3	0	0	3
	Total Credits				15

Semester 4

Departmental Electives

Course Code	Course Title	L	T	P	Credits
Pool 1
CSE5726	Pattern Recognition	3	0	0	3
CSE5733	Information Retrieval	3	0	0	3
CSE5734	Applied Statistical Methods	3	0	0	3
CSE5735	Python Programming	3	0	0	3
CSE5706	Distributed Systems	3	0	0	3
CSE6711	Web Services	3	0	0	3
Pool 2
CSE6706	Cloud Computing And Virtualization	3	0	0	3
CSE5710	Data Compression	3	0	0	3
CSE5712	Grid and Cluster Computing	3	0	0	3
CSE5740	Internet of Things	3	0	0	3
CSE5741	Big Data Analytics	3	0	0	3

Open Electives

Past Placements

Cloud Analogy
Knoldus Software
RGF professional
Dell
Oracle etc.

Career Opportunities

Researcher
Academician
Computing/IT Consulting
Solution Developers.
System/Network Administrators
IT Manger
Data Engineer
Data Scientist/Data Analyst

Kickstart Your Careers

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