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IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering: Fees 2025, Course Duration, Dates, Eligibility
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16 Apr, 2025
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Course Description
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering is offered as 2 Years Full Time program, with total intake of 32 seats. The minimum eligibility criteria for M.Tech is Pass in Graduation + GATE. The total fees for IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering in 2021 is ₹ 1.17 Lakhs for the complete course duration, which includes total tuition fees of ₹ 72,000.
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering fees in first year is ₹ 66,700. The detailed fees is mentioned below.
- The first year tuition fees is ₹ 36,000.
- The Admission Fee is ₹ 8,750.
- Other Miscellaneous fees is ₹ 21,950.
IIT Bombay Hostel Fee is ₹ 15,850.
IIT Bombay offers a total of 32 seats for M.Tech Geoinformatics & Natural Resources Engineering. Admissions are offered based on GATE. Check IIT Bombay Admission 2025
IIT Bombay GATE Cutoff 2025 marks is 233 for the GeneralPwD category. Further, the cutoff marks is 315 for KM category, 350 for OBCPwD category, Earlier, the GATE cutoff marks 2023 was 350 for the General category.
According to Collegedunia.com Rankings 2026 for Engineering, IIT Bombay ranks 10 out of 15 in India. Earlier, the institute ranked 2 out of 394 institutes in India.
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Fees 2025
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Fee has not been released yet. For reference you can check the previous year academic fees in the section below.
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Previous Fees
| Fees (2024 - 2025) | Year 1 (in INR) | Year 2 (in INR) | ||
|---|---|---|---|---|
| Semester | 1 | 2 | 3 | 4 |
| Tuition Fees | ₹18000 | ₹18000 | ₹18000 | ₹18000 |
| Admission Fees | ₹8750 | - | - | - |
| Other Fee | ₹14600 | ₹7350 | ₹7350 | ₹7350 |
| Semester Wise Fees | ₹41350 | ₹25350 | ₹25350 | ₹25350 |
| Yearly Fees | ₹66700 | ₹50700 | ||
* Fees is refundable
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Admission 2025
The minimum eligibility for admission to M.Tech Geoinformatics & Natural Resources Engineering at IIT Bombay is Pass in Graduation + GATE. Candidates are allotted seats based on GATE.
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Cutoff 2025
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Cutoff 2025 has been released. You can check the GATE cutoff marks for M.Tech Geoinformatics & Natural Resources Engineering admissions in the section below.
| Categories (2025) | Round 1 |
|---|---|
| GeneralPwD | 233 |
| KM | 315 |
| OBCPwD | 350 |
| PH | 233 |
| SCPwD | 350 |
IIT Bombay M.Tech Geoinformatics & Natural Resources Engineering Cutoff 2023
| Categories | Round 1 |
|---|---|
| General | 350 |
| OBC | 315 |
| SC | 233 |
| ST | 233 |
| EWS | 350 |
IIT Bombay Ranking 2025
IIT Bombay ranking 2025 has not been released. You can check the agency wise previous year national ranking below.
| Ranking Agency | Latest | Previous |
|---|---|---|
 | #10 out of 15 (2026) | #2 out of 394 (2023) #2nd Mumbai #1 Maharashtra |
 | #2 out of 131 (2025) #1st Mumbai #1 Maharashtra | #2 out of 275 (2024) #1st Mumbai #1 Maharashtra |
 | #2 out of 31 (2024) #1st Mumbai #1 Maharashtra | #2 out of 35 (2023) |
 | #3 out of 25 (2024) | #3 out of 25 (2023) |
 | #3 out of 200 (2023) #1st Mumbai #1 Maharashtra | #3 out of 300 (2022) #1st Mumbai #1 Maharashtra |
 | #1 out of 170 (2023) | #1 out of 192 (2022) |
 | #151-175 out of 800 (2020) | #151-175 out of 800 (2019) |
Also Check:
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
Course Details
Fee Details :
- For Institute Staff category : Rs. 15100 (1st Year) and Rs. 5100 (For Remaining Year)
- For Internation Students :
- Students from Non SAARC countries (ICCR / SF / Study in India (SII)) : Rs. 177350
- Students with concession of “Tuition Fees” (under TA/FA category, DAAD, ASEAN) : Rs. 25350
| Years (2024 - 2025) | year 1 | year 2 | ||
|---|---|---|---|---|
| Semester | 1 | 2 | 3 | 4 |
| Tuition fees | ₹18000 | ₹18000 | ₹18000 | ₹18000 |
| Admission fees | ₹8750 | - | - | - |
| other fee | ₹14600 | ₹7350 | ₹7350 | ₹7350 |
| Semester Wise Fees | ₹41350 | ₹25350 | ₹25350 | ₹25350 |
| Yearly Fees | ₹66,700 | ₹50,700 |
IIT Bombay Scholarship
| Name | Description |
|---|---|
| test 1 | lakflkajsf |
IIT Bombay Upcoming Important Dates 2025
Expired Events
| Events | Dates |
|---|---|
| GATE 2025 Result Date | Mar 16, 2025 |
| GATE 2025 Exam Dates | Feb 16, 2025 |
| GATE 2025 Exam Dates | Feb 15, 2025 |
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IIT Bombay Master of Technology [M.Tech] (Geoinformatics & Natural Resources Engineering) Ranking
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IIT Bombay: 2 Answered Questions
How is the geoinformatics and natural resources engineering MTech course at IIT Bombay?
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?
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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