

PHD in Geographical Information System Gis at University of Mysore


Mysuru, Karnataka
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About the Specialization
What is Geographical Information System (GIS) at University of Mysore Mysuru?
This Geographical Information System (GIS) program at University of Mysore focuses on advanced theoretical and applied aspects of spatial data science and geoinformatics. It addresses the growing demand for highly skilled GIS professionals and researchers in various sectors across India, including smart cities, environmental management, disaster response, agriculture, and urban planning. The program aims to equip researchers with cutting-edge tools and methodologies for complex spatial problem-solving, making it highly relevant to the evolving Indian geospatial industry landscape and its strategic importance.
Who Should Apply?
This program is ideal for postgraduate students with an M.A./M.Sc. in Geography, Earth Science, Environmental Science, Computer Science, Urban & Regional Planning, or allied fields, who possess a foundational understanding of GIS and a strong aptitude for research. It also suits working professionals in government agencies, NGOs, or private firms seeking to specialize in advanced geospatial analytics, spatial modeling, or contribute to academic research in the field. Ideal candidates are keen on scientific inquiry, critical thinking, and technological application to real-world spatial problems.
Why Choose This Course?
Graduates of this program can expect to pursue advanced research careers, become leading geospatial analysts, data scientists, or take up roles as project managers and consultants in India''''s burgeoning geospatial industry. Career paths include roles in national research organizations like ISRO and NRSC, state remote sensing centers, private tech firms specializing in geospatial services, and academia as professors or post-doctoral fellows. Entry-level salaries for PhDs in this domain can range from INR 6-10 LPA, with experienced professionals earning significantly more, especially in leadership or specialized consulting roles, contributing to India''''s technological advancements.

Student Success Practices
Foundation Stage
Master Research Methodology- (Semester 1)
Thoroughly engage with the ''''Research Methodology'''' coursework. Focus on understanding diverse research designs, advanced statistical tools, and ethical considerations in research. Actively participate in seminars and discussions to refine your initial research question and conceptual framework.
Tools & Resources
Swayam/NPTEL courses on Research Methodology, Statistical software like R or SPSS, Academic writing guides and reference managers (e.g., Zotero)
Career Connection
A strong foundation in research methodology is critical for successful thesis completion, publishing in high-impact journals, and for any future research or data-driven roles in academia or industry, particularly in India''''s data-intensive sectors.
Deep Dive into Advanced GIS Concepts and Tools- (Semester 1)
Beyond the core coursework, actively explore advanced GIS topics like geostatistical analysis, network analysis, and 3D GIS through online tutorials, specialized books, and MOOCs. Work on small, self-initiated projects using open-source GIS software to apply theoretical knowledge to practical scenarios.
Tools & Resources
QGIS, ArcGIS tutorials (if accessible), Python libraries like GeoPandas, Rasterio, GDAL, Online GIS forums (e.g., Stack Exchange GIS)
Career Connection
Developing practical skills in advanced GIS tools and programming makes you highly competitive for research assistantships, project roles, and ultimately, industry positions requiring specialized geospatial expertise in the Indian market.
Identify a Focused Research Area with Mentor Input- (Semester 1-2)
Based on your coursework, extensive literature review, and discussions with your supervisor, start narrowing down your specific research interest within GIS. Actively seek input from departmental faculty and explore potential interdisciplinary collaborations to align with departmental expertise and available resources. Attend departmental colloquia and research presentations.
Tools & Resources
Scopus, Web of Science, Google Scholar, Departmental faculty research profiles, ResearchGate
Career Connection
A well-defined and focused research problem early on streamlines your PhD journey, increases publication potential, and positions you as an expert in a niche area, significantly enhancing career prospects in academia and specialized industry roles.
Intermediate Stage
Develop Strong Geospatial Programming Skills- (Year 2-3)
Acquire advanced proficiency in programming languages like Python or R, which are essential for automated spatial analysis, custom tool development, and handling big geospatial data. Focus on scripting for GIS operations, machine learning for spatial data, and advanced data visualization techniques.
Tools & Resources
Python (ArcPy, GeoPandas, scikit-learn, TensorFlow for geospatial ML), R (sf, raster, leaflet), Online coding platforms like HackerRank, Kaggle (for data science challenges)
Career Connection
Strong coding skills are highly valued in modern GIS and data science roles, opening doors to advanced positions in spatial data analytics, geoinformatics development, and research & development in both public and private sectors in India.
Engage in National and International Conferences- (Year 2-4)
Present your preliminary research findings at national or international GIS/geospatial conferences and workshops. This provides invaluable experience in presenting, helps in networking with peers and experts, receiving constructive feedback, and staying updated with cutting-edge developments in the field. Start with smaller workshops or symposiums.
Tools & Resources
ISRS Annual Conference, FOSS4G India, ESRI India User Conference, International Cartographic Association (ICA) events
Career Connection
Conference participation boosts your academic profile, expands your professional network significantly, and can lead to collaborations, job opportunities, and post-doctoral positions, especially with global exposure.
Seek Mentorship and Interdisciplinary Collaboration- (Year 2-4)
Beyond your primary supervisor, identify other faculty members, industry experts, or researchers in related fields (e.g., Computer Science, Environmental Science, Urban Planning) whose work aligns with yours. Seek their guidance, collaborate on research papers, or participate in their ongoing projects. This broadens your perspective and introduces you to diverse research methodologies and application domains.
Tools & Resources
University research centers, Industry bodies like Geospatial Media and Communications, LinkedIn for professional networking and exploring industry connections
Career Connection
Mentorship and collaboration are vital for academic growth, securing strong recommendations, and gaining exposure to different career paths and opportunities in the interdisciplinary geospatial domain, both in India and abroad.
Advanced Stage
Publish in High-Impact Peer-Reviewed Journals- (Year 4-5)
Prioritize publishing your research findings in reputable, peer-reviewed, high-impact journals relevant to GIS, remote sensing, and spatial data science. Focus on clear articulation of your scientific contribution, rigorous methodology, and robust, validated results. Aim for at least 2-3 quality publications as a primary author.
Tools & Resources
Journal of Geographical Systems, Transactions in GIS, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Taylor & Francis Online, Springer Link, Elsevier (for journal search)
Career Connection
Publications are the cornerstone of an academic or research career. They validate your expertise, build your citation profile, and significantly enhance your employability in universities, national research labs, and R&D divisions within leading Indian and international companies.
Prepare Rigorously for Thesis Defense and Viva-Voce- (Year 5-6)
Systematically organize and synthesize all your research findings, write your doctoral thesis following university guidelines, and prepare meticulously for the pre-submission and final viva-voce examinations. Practice presenting your complex work concisely, defending your methodology, and confidently addressing critical questions from internal and external examiners.
Tools & Resources
University thesis formatting guidelines, Mock viva sessions with faculty and peers, Presentation software and data visualization tools
Career Connection
A strong thesis defense and a confident viva are crucial for successful PhD completion and demonstrating your readiness for independent research, critical thinking, and leadership roles in any professional setting.
Develop a Comprehensive Post-PhD Career Strategy- (Year 5-6)
Actively explore post-doctoral positions, research scientist roles, academic faculty positions, or specialized industry opportunities well before your final thesis submission. Network strategically, update your professional CV, and tailor your applications to specific institutions or companies that align with your specialized research expertise and career aspirations.
Tools & Resources
University career services and alumni network, Professional networking platforms (LinkedIn, ResearchGate), Job portals like Naukri, Indeed, and specific academic job boards (e.g., Current Science, Nature Careers)
Career Connection
Proactive and strategic career planning ensures a smooth and impactful transition post-PhD, effectively leveraging your advanced specialization, research acumen, and leadership potential into impactful roles in academia, government, or the burgeoning private sector in India and globally.
Program Structure and Curriculum
Eligibility:
- Master''''s Degree (M.A./M.Sc.) in Geography, Earth Science, Environmental Science, Urban & Regional Planning, Computer Science, or equivalent relevant discipline with at least 55% aggregate marks (50% for SC/ST/Category I candidates). Candidates must pass the University''''s PhD Entrance Test or be exempted (e.g., UGC-NET/CSIR-NET/JRF/SLET/GATE qualified).
Duration: Minimum 3 years, Maximum 6 years (Coursework component is typically 1 Semester)
Credits: 16-20 (for coursework, typically 4-6 credits per paper) Credits
Assessment: Internal: 30% (for coursework papers, based on assignments, seminars, internal tests), External: 70% (for coursework papers, based on end-semester examinations). The overall PhD assessment includes periodic progress reviews, pre-submission viva, thesis evaluation by external examiners, and a final viva-voce examination.
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GPHRM101 (Inferred) | Research Methodology | Core | 4 | Foundations of Research and Research Ethics, Literature Review and Problem Formulation, Research Design and Types of Research, Data Collection Methods and Techniques, Statistical Analysis, Interpretation and Report Writing |
| GPHGIS102 (Inferred) | Advanced Geographical Information System | Specialization Core | 4 | Advanced Spatial Data Models and Structures, Spatial Analysis and Geostatistical Methods, Integration of Remote Sensing Data in GIS, Web GIS, Mobile GIS and Distributed GIS, Open Source GIS and Customization Techniques, GIS Applications in Environmental and Urban Planning |




