ANNOUNCEMENTS
The Master of Science in Geoinformatics is an intensive, one-year multidisciplinary program designed to equip students with advanced knowledge and practical skills in spatial data analysis, geographic information systems (GIS), remote sensing, and machine learning. This program integrates concepts from geography, computer science, environmental studies, and data science to address complex spatial challenges in diverse fields such as urban planning, environmental management, and disaster risk reduction.
The curriculum integrates foundational theory with hands-on applications in geospatial technologies, encompassing a broad range of concepts and real-world challenges related to spatial data and environmental systems. It concludes with a project work that applies geoinformatics tools and methodologies to real-world scenarios, fostering interdisciplinary collaboration and driving innovative, sustainable solutions for global spatial problems.
Completion of foundational courses on GIS and Remote Sensing during the four-year bachelor’s degree (FYUP) i.e., B.Sc./ B.Tech degree is required as a prerequisite.
• Develop Core Competencies: Equip students with a strong theoretical foundation and practical skills in Geographic Information Systems (GIS), remote sensing, spatial data analysis, and machine learning.
• Promote Interdisciplinary Integration: Foster the ability to integrate geoinformatics with environmental science, urban planning, resource management, and other related fields to address complex spatial challenges.
• Enhance Analytical and Problem-Solving Skills: Train students to analyze spatial data critically and apply advanced geospatial techniques for informed decision making in real-world contexts.
• Encourage Research and Innovation: Cultivate research aptitude and innovative thinking for developing sustainable geospatial solutions to global issues such as climate change, disaster management, and sustainable development.
Upon successful completion of this programme, students will be able to:
• Apply Geospatial Technologies: Demonstrate proficiency in GIS, remote sensing, and geospatial analytics for solving real-world problems.
• Integrate Interdisciplinary Knowledge: Combine geoinformatics with environmental science, urban planning, resource management, and related domains to address complex spatial challenges.
• Develop Geospatial Solutions: Design and implement innovative geospatial models and applications for sustainable development, disaster management, and climate resilience.
• Conduct Independent Research: Formulate research questions, apply appropriate methodologies, and present findings effectively in the field of geoinformatics.
• Utilize Emerging Technologies: Employ cutting-edge technologies such as machine learning in geospatial contexts.
• Communicate Effectively: Present technical information clearly through maps, visualizations, reports, and digital platforms for diverse stakeholders.
This program is uniquely designed to address the rising need for professionals skilled in geospatial technologies and spatial data analytics, capable of driving initiatives in environmental monitoring, urban planning, and sustainable resource management. With a strong balance of theoretical foundations and practical expertise in GIS, remote sensing, and spatial modeling, students will emerge as professionals ready to apply geoinformatics solutions for a more resilient and sustainable future. Students will be prepared for careers in research, industry, and government sectors, contributing to data-driven decisionmaking and sustainable development.
• Fast-Track Postgraduate Degree with High Industry Relevance: A compact yet rigorous one-year structure that equips students with advanced geospatial skills in a significantly shorter timeframe ideal for early career accelerators and professionals seeking rapid upskilling.
• Industry-Aligned Curriculum Designed for Emerging Geospatial Needs: Curriculum mapped to contemporary domains such as GIS analytics, remote sensing, spatial modelling, AI-driven geospatial workflows, and location intelligence aligned with industry and government demand.
• Hands-On Learning with Real Datasets and Applied Projects: Students engage with authentic geospatial datasets from sectors such as environment, climate, urban planning, hydrology, disaster management, and natural resources bridging theory with real world problem solving.
• Exposure to Leading Geospatial Software & Tools: Training on state-of-the-art platforms such as ArcGISPro, QGIS, ERDAS Imagine, Google Earth Engine, Python for geospatial, and R ensures strong technical competency.
• Interdisciplinary Focus with Application-Driven Learning: The programme integrates geoinformatics with climate science, water resources, urban systems, agriculture, and sustainability creating versatile professionals.
• Research-Integrated Pedagogy: Despite being a one-year programme, emphasis on research-based learning, case studies, and project work prepares students for academic research and PhD pathways.
• Ideal for Multidisciplinary Learners: Open to students from varying backgrounds (science, engineering, geography, environment), promoting a diverse and collaborative learning environment.
| Year | Courses | Credits | Duration* |
| First Year | |||
| 1st Semester | 3 core courses of 3–4 credits each and 2 electives of 3 credits each | 20 | 15 Weeks |
| 2nd Semester | Research Project | 20 | 15 Weeks |
| Semester 1 | ||||||
| Course No. | Course Title | Type | Number of Credits | No. of L-T-P | Course Coordinator | Course Offered |
| NRE 171 | Environmental modelling | Elective | 4 | 42-18-0 | Dr Adil Masood | Yes |
| NRE 173 | Research methodology and thesis writing | Elective | 2 | 28-2-0 | Yes | |
| NRG 167 | Geocomputation | Core | 3 | 23-7-30 | Dr Adil Masood | Yes |
| NRG 179 | Advances in GIS and current trends | Core | 4 | 24-10-52 | Dr Ayushi Vijhani | Yes |
| NRG 181 | Advances in remote sensing: Thermal, Hyperspectral, Microwave, LIDAR and UAV | Core | 4 | 29-13-36 | Dr B. K. Bhadra | Yes |
| NRG 182 | Geoinformatics for land resources | Elective | 3 | 16-10-38 | Dr B. K. Bhadra | Yes |
| NRG 183 | Geoinformatics for water resources | Elective | 3 | 30-0-30 | Dr Ayushi Vijhani | Yes |
| NRG XXX | Geoinformatics for air | Elective | 3 | 0-0-0 | Yes | |
| Semester 2 | ||||||
| Course No. | Course Title | Type | Number of Credits | No. of L-T-P | Course Coordinator | Course Offered |
| NRG XXX | Research Project | Core | 20 | 0-0-0 | Yes | |
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