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Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering) From IIT Bombay, Mumbai

Mumbai, MaharashtraAutonomous UniversityEstd 1958

#3 For B.Tech By NIRF 2024

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Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering)

first year fees: ₹59,300

2 YearsFull Time

Years	year 1		year 2
Semester	1	2	3	4
Admission fees	₹2700	-	-	-
Tution fees	₹15000	₹15000	₹15000	₹15000
Registration fees	₹900	₹900	₹900	₹900
Exam fees	₹1200	₹1200	₹1200	₹1200
Other fees	₹17550	₹4850	₹4850	₹4850
Total Year Wise fees	₹59,300		₹43,900

IIT Bombay Upcoming Application Dates 2024

Important Events

Events	Dates
COAP counselling	Ongoing May 21, 2024 - Jul 21, 2024

Expired Events

Events	Dates
Application Timline (M.Tech, Integrated M.Tech & MS) [Without Late Fee]	Mar 20, 2024 - Apr 05, 2024
Application Deadline (M.Tech, Integrated M.Tech & MS) [With Late Fee]	Apr 10, 2024
Application Timeline (M.Tech) [COAP Counselling]	Mar 20, 2024 - Apr 18, 2024

IIT Bombay Cutoff 2024

IIT Bombay, GATE Cutoff 2023

The 2023 GATE cutoff marks for the Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering) at IIT Bombay was 350 for the General category. While In 2022 the cutoff marks was 350 .

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M.Tech Geoinformatics & Natural Resources Engineering Compare

IIT Bombay Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering) Ranking

IIT Bombay Engineering ranking by NIRF is 3 out of 200 in India in 2024 and it was ranked 3 out of 200 in India in 2023. IIT Bombay Engineering ranking by India Today is 2 out of 35 in India in 2023 and it was ranked 2 out of 10 in India in 2022. IIT Bombay Engineering ranking by The Week is 2 out of 131 in India in 2023 and it was ranked 2 out of 216 in India in 2022

NIRF Ranking

#3 out of 200 in India 2024

#2nd in Mumbai

#2 in Maharashtra

Eligibility Criteria

Aspirants seeking admission to 2 years Full-time M.Tech Program should meet the following criteria as specified by the institute.

Academic Requirement:

Candidate must have passed B.E./B.Tech./M.Sc. (Engineering) /M.Sc./ M.C.A./MBBS/ M.Pharm./B.Pharm. with 60% marks (55% marks for SC/ST) or an equivalent CGPA, from a relevant branch.

Entrance Exam:

Candidates must qualify one of the following entrance test - GATE

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Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering) Comparison

	IIT Bombay
Reviews Rating	4.3/5 (41 Users)
Cost To Study	Total Fees ₹103200 (2 Years ) Check Detailed Fees
Ranking	# Ranked 2/35 by India Today Engineering Ranks
Highest Salary	₹36700000
Average Salary	₹2182000
General Course Details	Duration - 2 Years Course Offered - Full Time Total Seats - 32 Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree Check Course Details
Eligibility	Pass in Graduation + GATE

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IIT Bombay: 2 Answered Questions

How is the geoinformatics and natural resources engineering MTech course at IIT Bombay?

Naman GuptaGeoinformatics from Indian Institute of Technology, Bombay (IITB) (Graduated 2022)

M.Tech program in Geoinformatics and Natural Resources Engineering at IIT Bombay is an excellent program that provides interested students with a strong foundation in the principles and techniques used in geoinformatics and natural resources engineering.

The curriculum is a rich blend of theoretical knowledge and research, and students are given the opportunity to work on a number of projects related to these fields. Graduates of the program have gone on to successful careers in academia, government, and industry.

M.Tech in Geo-informatics and Natural Resource Engineering (GNR) comes under the Centre of Studies in Resource Engineering (CSRE) which was established in 1976.

Course Highlights

Total Fees	Total Fees INR 94300 (2 Years)
Rankings	# Ranked 3/300 by NIRF Engineering Ranks
GATE Cutoff (General)	350
Highest CTC	INR 18000000
Average CTC	INR 2150000
Eligibility	Pass in Graduation + GATE
Top Recruiters	Mercedes Benz R&D, Qualcomm, Sony Japan, Hitachi, PWC Diamond Consulting, Rakuten Inc, Axis Bank, IDFC Bank

A glimpse of the courses you can pursue and research activities you can conduct has been given below:

Remote sensing/Laboratory
image interpretation/Laboratory
Principles of satellite image processing
Natural Resource Modeling
Snow and Glacier Studies
Coastal and Marine Sciences/Laboratory
GIS lab
Natural Hazards Lab

Geoinformatics and Natural Resources Engineering M.Tech course at IIT Bombay is pretty decent and provides a number of opportunities.

What are the placement opportunities in IIT Bombay's geoinformatics and natural resources engineering (GNR) department?

Naman GuptaGeoinformatics from Indian Institute of Technology, Bombay (IITB) (Graduated 2022)

There are innumerable placement opportunities in IIT Bombay’s Geoinformatics and Natural Resources Engineering (GNR) department. Here are the important points that you must keep in mind:

The placement stats for Geoinformatics and Natural Resources Engineering (GNR) at IIT Bombay are excellent, so don't worry about it if you are dedicated.
The curriculum for Geoinformatics at IIT Bombay is better than other colleges in India, and the courses offered are relevant to add value to your job applications and for research and learning purposes.
The department focuses on several domains, including remote sensing, GIS, and IoT, as well as machine learning and deep learning.
The median and average salary packages for GNR graduates are INR 13 LPA and INR 17.9 LPA, respectively, and many top companies recruit from this department.
To excel in placements, it's important to focus on your projects, coding skills, and resume. Start working on Python in your first semester, and also spend time on C++/Java programming skills, DBMS, and operating systems, depending on your interests.
Data structures are essential for software profiles, so make sure you are thorough with them. Electrical/electronics students can also prepare for core engineering roles with elective courses, but it's challenging to combine a hardware profile with your specialization.
Image processing, computer vision, deep learning, and IoT-related fields are good options for those with electrical/electronics backgrounds.

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