M. Tech. in Geospatial Technology and Artificial Intelligence

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Amritapuri

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Turn Spatial Data into Intelligent Decisions for a Smarter, Sustainable World

Build a future-ready career at the forefront of innovation with Geospatial Technology and Artificial Intelligence. This program offers the advantage of learning to utilize AI techniques in the geospatial domain. This interdisciplinary program integrates Remote Sensing, GIS, IoT, Big Data, and Artificial Intelligence, aligned to the rapidly expanding global geospatial industry. Students gain a strong foundation in theory while engaging extensively with real-world datasets, advanced tools, and emerging technologies.

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Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
– Issued in Public Interest by Directorate of Admissions and Academic Outreach

Eligibility Criteria

Applicants should have any of the following, scoring a minimum of 60% with a pass.
B.Tech. in (Aerospace Engineering, Applied Mechanics, Civil Infrastructure Engineering, Computer and Information Science, Energy Technology, Engineering Physics, Geo Sciences Engineering, Mathematics and Computing, Physical Sciences)
B.Tech. or B.E. in (Applied Electronics and Instrumentation, Civil Engineering, Computer Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electronics and Communication Engineering, Electronics and Instrumentation Engineering, Electronics Engineering, Environmental Engineering, Geo Informatics Engineering, Information Science and Engineering, Mechanical Engineering, Software Engineering)
B.E. in (Petroleum Engineering, Transportation Engineering)
M.Sc. in (Applications of Mathematics, Applied Geography, Applied Geology, Applied Mathematics, Applied Mathematics and Computing, Applied Statistics and Informatics, Computer Applications, Computer Science, Computer Technology, Data Mining and Warehousing, Earth Science, Earth Science & Resource Management, Ecology & Environmental Science, Electronics, Electronics & Communication, Electronics and Instrumentation, Electronics and Telecommunications, Engineering Physics, Environmental and Climate Change Management, Environmental Management, Environmental Science, Geography, Geoinformatics, Geological Sciences, Geology, Green Technology, Information Science, Information Security and Cyber Forensics, Information Technology, Information Technology and Management, Instrumentation Technology, Mathematical Ecology & Environment Studies, Mathematical Science, Mathematics, Mathematics and Computing, Maths & Computer Applications, Maths & Statistics, Meteorology, Operation Research & Computer Applications, Petroleum Geology, Physics, Pollution Control, Remote Sensing and GIS, Renewable Energy, Science and Technology Communication, Software Engineering, Soil and Water Conservation, Soil Science, Statistics, Sustainable Development, in Geophysics)
MCA

program overview

The MTech program in Geospatial Technology and Artificial Intelligence involves collecting, processing, analysing, and disseminating spatial information. The discipline incorporates observations collected in-situ, through remote sensing as well as using IoT- based systems, development of geodatabases, visualization using Geographic Information System (GIS) tools, and application of advanced algorithms and models. Utilisation of advanced analysis techniques such as AI provides the potential to automatically recognise patterns and forecast future events related to specific areas and issues. Besides, environmental monitoring utilizes this technology to track changes in ecosystems, optimize infrastructure development, evaluate the effects of natural disasters, and efficiently coordinate restoration and relief activities.
This program incorporates the power of artificial intelligence in geospatial information processing, bringing cutting-edge technologies together in a multidisciplinary curriculum. The students will learn to become a valuable part of the national and global efforts to resolve societal challenges in diverse areas such as intelligent agricultural practices, sustainable water availability, disaster management and risk reduction, urban development, environmental pollution, etc, to achieve community resilience and sustainable development of the society.

Learning Experience

The program emphasizes experiential and application-driven learning through:

Hands-on laboratory sessions
Training with satellite imagery, UAV data, sensor-based IoT systems, and spatial databases
Project-based coursework provides valuable experience in applying geospatial intelligence to solve real-world problems

Students obtain valuable industry or research experience, and enhanced practical skills through industry/academic internships. They get opportunity to participate in hands-on research projects, frequently collaborating with national and international experts on cutting-edge research topics.

Program Outcomes

PO1 : An ability to independently carry out research /investigation and development work to solve practical problems.
PO2 : An ability to write and present a substantial technical report / document
PO3 : An ability to demonstrate a degree of mastery over the area as per the specialization of the program
PO4 : An ability to bridge the gap between academic research and social needs

Program Specific Outcomes

PSO1 : Collect and process geospatial data from laboratory, field, and remote sensing platforms for real-world applications in Earth Science and earth observation domains
PSO2 : Apply critical thinking and analyze problems from a spatial perspective
PSO3 : Integrate geospatial analyses with artificial intelligence techniques to develop sustainable solutions for societal challenges.

Curriculum

Semester 1 Semester 2 Semester 3 Semester 4 Elective Courses

Semester 1

Course Code	Type	Course	L T P	Credit
25MA607	FC	Mathematics for Data Science	3 0 0	3
25GE601	SC	Introduction to Earth System & Observations	3 0 2	4
25GE602	SC	Fundamentals of GIS and Geostatistics	3 0 2	4
25GE603	SC	Principles of remote sensing	2 0 2	3
25GE604	SC	Geodetic surveying and monitoring methods	2 0 2	3
25GE681	FC	Advanced computer programming	0 0 2	1
25AVP501	HU	Mastery Over Mind	1 0 2	2
22ADM501	HU	Glimpses of Indian Culture	P/F
23HU601	HU	Career Competency I*	0 0 3	P/F
		credits		20

*Non-credit Course

1 lecture (L) session = 1 hour

What we offer

Semester 2

Course Code	Type	Course	L T P	Credit
25GE611	SC	Advanced Remote Sensing and AI	3 0 2	4
25GE612	SC	Geospatial Instrumentation and Modelling	2 0 2	3
25GE613	FC	Applied machine learning	3 0 2	4
25GE614	FC	Geotechnical and IoT Monitoring Methods	3 0 2	4
25RM610	SC	Research Methodology	2 0 0	2
	E	Elective I	2 0 2	3
25GE690	P	Live-in-Labs I : Participatory Design	0 0 2	1
25GE698	HU	Industrial Internship 1	0 0 2	1
23HU611	HU	Career Competency II	0 0 3	1
		Credits		23

Semester 3

Course Code	Type	Course	L T P	Credit
	E	Elective II	2 0 2	3
25GE790	P	Live-in-Labs II: Lab-to-Field: People Centred Innovation	0 0 2	1
25GE798	P	Dissertation- Phase I		10
		Credits		14

Semester 4

Course Code	Type	Course	L T P	Credit
25GE799	P	Dissertation- Phase II		15
		Credits		15

Total Course Credits: 72

Elective Courses

Course Code	Type	Course	L T P	Credit
Elective I
25GE631	E	Climate Change and Sustainability: A Modelling Perspective	2 0 2	3
25GE632	E	Geoelectrical Characterization And Monitoring Methods	2 0 2	3
25GE633	E	Smart cities and urban planning	2 0 2	3
25GE634	E	Geohydrology and Ground Water Modeling	2 0 2	3
25GE635	E	Integrated Disaster Management, Risk Reduction & Resilience	2 0 2	3
Elective II
25GE731	E	Applications of Deep Learning	2 0 2	3
25GE732	E	Environmental Geology and Geohazards	2 0 2	3
25GE733	E	Sustainable Development – Frameworks & Solutions	2 0 2	3
25GE734	E	Vulnerability Assessment & Disaster Risk Reduction	2 0 2	3

Fee Structure

Note:

The tuition fee of 53,000 per semester applies to the option where you take your time to complete the
program over six semesters. This option is designed for working professionals.
Working Professionals will not be eligible for any scholarship.

Head	Fee	Term
Fee for Working Professionals
Tuition Fees	53000/-	Per Semester
Caution Deposit (Refundable)	5000/-	One Time
Total	58000/-

MTech Program Fee 2022 (Per Semester)

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Refund Policy

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Handbook 2026

Curriculum & Syllabus

Curriculum & Syllabus 2023

Facilities and Infrastructure

Program Coordinator

Dr. Dhanya M.

MTech-Geoinformatics & Earth Observations Program Coordinator

Placements

At Amrita, companies vie with each other to be the early birds for hiring,
thanks to the quality of students, past and present.

250

6.8 LPA

300

5.37 LPA

150

6.67 LPA

56

17.5 LPA

View All Placements

Alumni Testimonial

Aparna Yadav

(2020-22 Batch , Intern at INCOIS, an autonomous body under Ministry of Earth Sciences)

I always had passion in doing research on the never ending mystery of oceans. Amrita’s Geoinformatics curriculum gave me the skills & opportunity to get an internship at INCOIS

Nanditha Rajan

( 2020-22 Batch , Intern at INCOIS, an autonomous body under Ministry of Earth Sciences)

Thank you so much for the opportunity to work with INCOIS. Amrita and its syllabus has helped a lot me to improve my knowledge and technical skills in GIS, remote sensing and also programming. We had so many hands-on training program that now helps us to confidently perform many functions and solve problems in GIS