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M-TECH in Surveying Technology at Symbiosis International University
Pune, Maharashtra
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About the Specialization
What is Surveying Technology at Symbiosis International University Pune?
This M.Tech Geoinformatics and Surveying Technology program at Symbiosis International University focuses on integrating advanced geospatial technologies with traditional surveying principles. It addresses the growing need for skilled professionals in India''''s rapidly expanding infrastructure, urban development, and environmental sectors. The program emphasizes practical application and cutting-edge tools to analyze spatial data for diverse real-world challenges.
Who Should Apply?
This program is ideal for engineering and science graduates from fields such as Civil, Computer, IT, Geoinformatics, and related disciplines. It caters to fresh graduates seeking entry into the dynamic geospatial industry as well as working professionals aiming to upskill in areas like remote sensing, GIS, GNSS, and drone technology, crucial for career advancement in Indian organizations.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as GIS Analysts, Remote Sensing Specialists, Photogrammetrists, Survey Engineers, and Project Managers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program aligns with industry demand for expertise in smart cities, disaster management, and infrastructure planning, fostering growth trajectories in both government and private sectors.
Student Success Practices
Foundation Stage
Master Geospatial Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand core concepts of GIS, Remote Sensing, and GNSS. Utilize online courses from platforms like Coursera (e.g., Esri''''s GIS Specialization) or NPTEL lectures on Geoinformatics to supplement classroom learning. Actively participate in lab sessions to gain hands-on proficiency with basic geospatial software.
Tools & Resources
QGIS, ArcGIS, Google Earth Engine, Esri Academy, NPTEL, Coursera
Career Connection
A strong foundation ensures a solid understanding of the domain, which is crucial for entry-level roles as GIS analysts or data processors in Indian firms.
Develop Programming Skills for Spatial Data- (Semester 1-2)
Focus on mastering Python with key geospatial libraries (e.g., GDAL, Fiona, Shapely, geopandas). Practice scripting for data manipulation, automation, and visualization. Participate in coding challenges on platforms like HackerRank or LeetCode, specifically looking for problems involving spatial data structures.
Tools & Resources
Python, Anaconda, GDAL, QGIS Python Console, Stack Overflow, GitHub
Career Connection
Programming proficiency is highly valued in the Indian geospatial sector for developing custom applications, automating workflows, and handling large datasets, opening doors to roles as geospatial developers.
Network with Peers and Faculty- (Semester 1-2)
Form study groups with classmates to discuss complex topics and collaborate on projects. Actively engage with faculty during office hours to clarify doubts and seek guidance on research interests. Attend departmental seminars and workshops to learn from guest speakers and senior researchers.
Tools & Resources
University internal platforms, Professional networking events, Faculty office hours
Career Connection
Building a strong academic and professional network within the university often leads to research opportunities, project collaborations, and valuable mentorship for future career guidance in India.
Intermediate Stage
Engage in Practical Industry Projects- (Semester 3)
Seek out opportunities for minor projects or case studies provided by the institute or through faculty connections. Volunteer for practical field work or data collection initiatives. Apply theoretical knowledge from advanced courses like Photogrammetry, UAS, and Spatial Databases to real-world problems.
Tools & Resources
Drone deploy software, Photogrammetry suites (e.g., Agisoft Metashape), Spatial database systems (e.g., PostGIS), Industry project calls
Career Connection
Hands-on project experience is critical for showcasing practical skills to potential employers in India, especially for roles requiring direct application of surveying and geoinformatics techniques.
Explore Specialization Electives in Depth- (Semester 3)
Dive deep into the chosen elective (e.g., LiDAR Technology, Machine Learning for Geospatial Data, Big Data Analytics). Conduct literature reviews, explore open-source tools, and attempt mini-projects related to the elective''''s domain. Consider writing a short paper or presentation on a specialized topic.
Tools & Resources
Open-source LiDAR processing software (CloudCompare, LASTools), ML libraries (Scikit-learn, TensorFlow), Big Data tools (Hadoop, Spark)
Career Connection
Developing expertise in a niche area increases employability for specialized roles within the Indian geospatial industry, such as LiDAR data analysts or geospatial AI engineers.
Participate in Geospatial Competitions & Workshops- (Semester 3)
Look for national-level hackathons, data challenges, or technical paper competitions in geoinformatics. Attend workshops organized by industry bodies (e.g., ISRO, Survey of India, private companies) to learn about emerging trends and technologies. Present your project work at college-level technical events.
Tools & Resources
Kaggle, Geo-hackathons announcements, Industry seminars, Technical symposiums
Career Connection
Participation demonstrates proactive learning, problem-solving abilities, and exposure to cutting-edge tools, enhancing your resume for placements in India.
Advanced Stage
Secure a Relevant Industrial Internship- (Semester 4)
Actively seek and secure an internship with a reputable geospatial company or government organization in India. Focus on internships that align with your specialized interests (e.g., drone surveying, GIS consulting, remote sensing analysis). Maximize the learning experience by taking initiative, asking questions, and contributing meaningfully to projects.
Tools & Resources
Career services cell, LinkedIn, Company websites, Professional networks, Internship portals (Internshala, Naukri)
Career Connection
An industrial internship is often the direct pathway to pre-placement offers (PPOs) and provides invaluable real-world experience, making you highly marketable to Indian employers.
Develop a Comprehensive Thesis/Dissertation- (Semester 4)
Plan and execute your final project (Project Phase II) with meticulous research, robust methodology, and clear objectives. Ensure your dissertation addresses a significant problem in Geoinformatics and Surveying Technology, incorporating advanced tools and techniques learned throughout the program. Seek regular feedback from your faculty mentor.
Tools & Resources
Academic databases, Research papers, Specialized software for your project, LaTeX/Word for document preparation, Plagiarism checkers
Career Connection
A well-executed thesis demonstrates independent research capabilities, problem-solving skills, and deep domain knowledge, crucial for roles in R&D, academia, or specialized consulting in India.
Prepare for Placements and Professional Interviews- (Semester 4)
Refine your resume and cover letter, highlighting your M.Tech specialization, projects, and internship experiences. Practice technical interview questions related to GIS, Remote Sensing, GNSS, and your chosen specialization. Work on communication and presentation skills, essential for facing HR and technical rounds in Indian companies.
Tools & Resources
University placement cell, Mock interviews, Online interview preparation platforms, Company-specific interview guides
Career Connection
Effective preparation maximizes your chances of securing desirable placements in top geospatial companies, government bodies, or research organizations across India.
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree in Engineering / Technology (B.E. / B.Tech.) in Civil / Computer / Geoinformatics / Information Technology / Agriculture / Electronics / Electrical / Telecommunication / Instrumentation, or B. Sc. (Applied Sciences) in Geoinformatics / Computer Science / Information Technology / Mathematics / Physics / Statistics / Agriculture or BCA / MCA / M. Sc. (Physics / Mathematics / Statistics / Computer Science / IT / Geoinformatics / Environmental Science / Electronics) or equivalent, with a minimum of 50% marks or equivalent grade (45% for Scheduled Caste/Scheduled Tribes). Candidates appearing for final year examinations can also apply, subject to fulfilling the minimum percentage requirement.
Duration: 2 years (4 semesters)
Credits: 78 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7001 | Principles of Geoinformatics | Core | 4 | Fundamentals of GIS, Geospatial Data Models, Map Projections and Coordinate Systems, Introduction to GPS, Remote Sensing Basics, Geospatial Databases |
| T7002 | Remote Sensing and Digital Image Processing | Core | 4 | Electromagnetic Spectrum, Satellite Remote Sensing Platforms, Image Rectification and Registration, Image Enhancement Techniques, Image Classification, Hyperspectral Remote Sensing |
| T7003 | Global Navigation Satellite Systems (GNSS) | Core | 4 | GNSS System Components, GPS, GLONASS, Galileo, BeiDou, GNSS Data Acquisition, Differential GPS (DGPS), GNSS Data Post-Processing, Applications of GNSS |
| T7004 | Programming for Geospatial Applications | Core | 4 | Python Programming Fundamentals, Data Structures and Algorithms, Geospatial Libraries (GDAL, Fiona), Scripting for GIS Operations, Web GIS API Integration, Database Connectivity |
| T7005 | Research Methodology and Technical Communication | Core | 4 | Research Design and Types, Data Collection and Sampling, Statistical Analysis Techniques, Report Writing and Documentation, Technical Presentation Skills, Ethics in Research |
| T7006 | Geoinformatics & Surveying Technology Lab I | Lab | 4 | GIS Software Practice, Remote Sensing Software Exercises, GNSS Data Processing Workflows, Python Geospatial Scripting, Map Creation and Cartography, Geospatial Data Visualization |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7007 | Advanced Digital Photogrammetry and UAS | Core | 4 | Aerial Photography Principles, Digital Photogrammetric Workflows, Unmanned Aircraft Systems (UAS) Operation, UAS Data Acquisition and Processing, 3D Modeling from Aerial Imagery, Applications in Surveying |
| T7008 | Geospatial Database Management Systems | Core | 4 | Database Management Concepts, Structured Query Language (SQL), Spatial Databases (PostGIS, Oracle Spatial), Database Design and Normalization, Spatial Data Security, Query Optimization for Geospatial Data |
| T7009 | Land and Engineering Surveying | Core | 4 | Traditional Surveying Methods, Total Station Surveying, Leveling and Contouring, Traversing and Triangulation, Route and Construction Surveying, Boundary and Cadastral Surveying |
| T7010 | Web and Mobile GIS | Core | 4 | Web Mapping Services (WMS, WFS), JavaScript Mapping Libraries (Leaflet, OpenLayers), Mobile GIS Application Development, Location-Based Services (LBS), Geospatial API Integration, Cloud-based GIS Platforms |
| T7011 | Environmental Geoinformatics | Elective | 4 | Environmental Modelling, Pollution Mapping and Monitoring, Climate Change Impact Assessment, Disaster Risk Reduction, Ecological Footprint Analysis, Sustainability Assessment |
| T7012 | Hydrogeoinformatics | Elective | 4 | Hydrological Cycle Analysis, Water Resource Mapping and Management, Flood Modeling and Assessment, Drought Monitoring and Mitigation, Watershed Management, Groundwater Modeling |
| T7013 | Urban Geoinformatics | Elective | 4 | Urban Planning and Development, Smart City Applications, Traffic and Transportation Management, Infrastructure Mapping, Urban Utility Management, Urban Growth Modeling |
| T7014 | Geoinformatics & Surveying Technology Lab II | Lab | 4 | Photogrammetry Software Practice, UAS Data Processing Workflows, Web GIS Development, Mobile GIS App Creation, Spatial Database Querying, Survey Data Analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7015 | Advanced Spatial Analysis | Core | 4 | Spatial Statistics and Econometrics, Geostatistics and Interpolation, Network Analysis, Surface Modeling and Analysis, Multi-Criteria Decision Making, Advanced Geospatial Algorithms |
| T7016 | Entrepreneurship in Geospatial Technology | Core | 4 | Business Plan Development, Geospatial Market Research, Funding and Investment Strategies, Legal and Regulatory Aspects, Geospatial Startup Ecosystem, Innovation and Business Models |
| T7017 | LiDAR Technology and Applications | Elective | 4 | LiDAR Principles and Sensors, LiDAR Data Acquisition, Point Cloud Processing, Digital Elevation Model Generation, Feature Extraction from LiDAR, Applications in Surveying |
| T7018 | Machine Learning for Geospatial Data | Elective | 4 | Fundamentals of Machine Learning, Supervised and Unsupervised Learning, Deep Learning Architectures, Geospatial Feature Engineering, Predictive Mapping and Modeling, Applications in Geoinformatics |
| T7019 | Big Data Analytics for Geoinformatics | Elective | 4 | Big Data Concepts and Ecosystem, Hadoop and Spark Frameworks, Geospatial Big Data Management, Cloud Computing for Geoinformatics, Real-time Geospatial Data Processing, Big Data Visualization |
| T7020 | Project Phase I | Project | 6 | Problem Definition and Scoping, Comprehensive Literature Review, Methodology Design and Planning, Initial Data Collection and Analysis, Preliminary Implementation, Project Proposal and Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T7021 | Project Phase II & Industrial Internship | Project | 12 | Advanced Implementation and Experimentation, Data Analysis and Interpretation, Results Evaluation and Discussion, Dissertation Writing and Presentation, Industrial Training and Exposure, Practical Problem-Solving in Industry |
