Accelerate your career with a comprehensive 6-month online Spatial and Geographic Analytics Program.
The Spatial and Geographic Analytics program focuses on the study and application of geographic information systems (GIS), spatial data analysis, and remote sensing. It integrates technology, data science, and geography to analyze spatial patterns and relationships. The curriculum covers GIS software, spatial statistics, cartography, and geospatial data visualization. Students learn to manage and analyze spatial data, develop mapping solutions, and support decision-making processes. The program prepares graduates for careers in urban planning, environmental management, and geospatial technology. Practical experience through projects and internships is emphasized. Graduates are equipped with skills in spatial thinking, data analysis, and technological proficiency.
₹33000-60000
Analytical Skills / Technical Skills / problem-solving/ Database Knowledge
400 Hours
METHODS | REGISTRATION FEE | PROGRAM FEE | TOTAL FEE |
---|---|---|---|
I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 1 |
₹3,000 | ₹50,000 | ₹53,000 |
I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 2 |
- | ₹50,000 | ₹50,000 |
I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 1 |
$50 | $290 | $340 |
I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 2 |
- | $290 | $340 |
Notes: GST of 18% is applicable as per Govt of India notification on total course fee.
Students residing outside India need to pay additional fee towards courier charges.
E Prospectus and Application Form
Empowering through innovative solutions and technology integration.
Introduction to Spatial and Geographic Analytics
Basics of Geospatial Data
Spatial Data Sources and Collection Methods
Spatial Data Storage and Management
Spatial Data Visualization Techniques
Spatial Analysis Methods and Tools
Applications of Spatial Analytics in Business Intelligence
Advanced Spatial Analysis Techniques
Spatial Machine Learning and Predictive Analytics
Spatial Data Mining and Pattern Recognition
Spatial Decision Support Systems
Case Studies and Applications in Various Industries
Ethical and Legal Issues in Spatial Analytics
Future Trends in Spatial and Geographic Analytics
Business Intelligence (BI) refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. It helps organizations make data-driven decisions by providing insights into their operations, customers, market trends, and other relevant factors.
A Business Intelligence Master Program typically covers a comprehensive curriculum designed to equip students with the knowledge and skills needed to excel in the field of BI. This may include courses on data analysis, data visualization, data warehousing, data mining, predictive analytics, business analytics tools, and more. Students may also engage in hands-on projects and internships to gain practical experience in applying BI concepts to real-world scenarios.
Graduates of a Business Intelligence Master Program can pursue various career paths in industries such as finance, healthcare, retail, marketing, and more. Some common job roles include BI analyst, data analyst, business analyst, data scientist, BI developer, and BI consultant. These professionals are in high demand as organizations increasingly rely on data-driven insights to drive strategic decision-making and gain a competitive edge in the market.