The exponential growth in earth observation data, coupled with advances in high-resolution spatial technology and computing power, has accelerated the rise of geo-intelligence. Deep learning models, like neural networks, excel at capturing complex, non-linear relationships in spatial data with near-human precision. This fusion of data science and spatial analytics enables more accurate pattern recognition, hypothesis testing, and model building, uncovering valuable insights across various sectors.
- Artificial Intelligence - Develop AI algorithms, learn the application of AI in data mining, utilise AI algorithms in data analytics, develop AI-based models in different data sets, and more.
- GeoIntelligence - Gain expertise in spatial data mining, study the location-driven information system for business growth in diverse sectors, machine learning for remote sensing, learn spatial analytics with regards to governance, and more.
Geoinformatics, which includes Remote Sensing, GIS, and GNSS, uses spatial data from satellites, drones, and terrestrial sources to support various sectors. Practical applications range from urban planning, environmental modeling, and agriculture to navigation, military operations, and climate change analysis. Other sectors benefiting from geoinformatics include public health, transport planning, business location strategy, telecommunications, and even architecture and archaeological reconstruction.
Programme Name- Master of Science (Data Science and Spatial Analytics) Dual Degree - Symbiosis Institute of Geoinformatics and Masters AIML and Space Science from RUDN University, Russia. , A.Y 2024-25.
About Course- The Dual Degree Master's Programme at Symbiosis Institute of Geoinformatics(SIG), offers students a unique opportunity to study in Russia for a term. During the first term, the curriculum primarily focuses on Data Science and Spatial Analytics, which is taught at SIG, Pune. The second term delves into topics such as Artificial Intelligence, Machine Learning, and Advanced methods in space flight mechanics, which is taught at the RUDN University in Russia.
Upon completing the programme, graduates receive dual certifications which include an M.Sc. in Data Science and Spatial Analytics, and a Master's Diploma (M.Sc.) in AI, Machine Learning, and Space Science. The international exposure and dual expertise gained through this programme will prepare graduates for career opportunities on a global scale.
Eligibility- Graduate in Engineering, IT, Science, Computer Science, or Computer Application of any recognised university/institute of national importance with a minimum of 50% of marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Selection Procedure- Admission will be based on a Personal Interview (PI). Candidates will be called for PI, and the final result will be published as per the schedule on the SIG website: www.sig.ac.in
Geoinformatics encompasses a range of technologies for managing spatial information, playing a key role in urban and rural development, infrastructure, transportation, natural resource management, and disaster preparedness. Graduates in Geoinformatics can pursue careers as GIS consultants, engineers, analysts, or developers across government, academia, research, and private sectors. They are equipped to create innovative solutions and collaborate with experts in various fields.
