BS in AI and Geospatial Analytics

Turn maps and AI into real-world impact

Combine artificial intelligence, geography, data science and computing to understand our world and help shape its future. In the BS in AI and Geospatial Analytics, you will learn to work with spatial data from satellites, drones, sensors and other sources, then use AI and geospatial tools to address challenges in disaster response, sustainability, public health, urban planning and more.

Why choose the BS in AI and Geospatial Analytics at UB?

If you want to use technology to understand places, solve problems and help communities and ecosystems thrive, this major gives you the tools to do it.

You will study geospatial artificial intelligence, or GeoAI, where AI meets mapping and spatial data. Along the way, you will explore issues such as climate resilience, sustainable cities, environmental health and the ways technology affects people and places.

At UB, you will benefit from:

  • An interdisciplinary program that brings together AI, geography, data science and computing
  • Faculty expertise in geostatistics, environmental modeling, global economies, regulation and trade
  • Opportunities to connect with students and faculty across UB’s growing AI community
  • The resources of a major public research university in an affordable and welcoming city

UB: A leader in AI

UB is helping advance research, education and responsible innovation in artificial intelligence through:

  • Empire AI
  • A National Science Foundation-funded National AI Institute
  • More than 400 researchers working in AI and related fields
  • Centers and initiatives exploring how AI can serve society

Program highlights

Build technical skills while learning how geography can help you understand patterns, relationships and change across space.

Your studies will include:

  • AI and society courses such as “AI and Society,” “AI and Ethics” and “Technological Disruption and Diffusion”
  • Foundations in machine learning, linear algebra, probability and computer science
  • Geography courses in Earth systems, global economic geographies and human-environment relationships
  • Geospatial training in GIS, cartography, remote sensing and environmental modeling
  • Electives in areas such as locational analysis, dynamic modeling and GIS design
  • A capstone experience that brings together AI, geospatial analysis and questions of social impact

What you will learn

You will build a foundation in AI, math, computer science and geography, then apply what you learn to real-world spatial questions.

You will learn to:

  • Understand different forms of AI and examine their ethical and social implications
  • Build quantitative skills through mathematics and geographic statistics
  • Use programming, machine learning and computational approaches to analyze information
  • Explore Earth systems, global economic geographies and human-environment interactions
  • Create and interpret maps using GIS and cartographic techniques
  • Analyze remotely sensed and other forms of spatial data
  • Work with data from satellites, drones, sensors and digital platforms
  • Combine AI and geospatial methods to study challenges in areas such as disaster management, global health and sustainability
  • Bring together your skills in a capstone focused on AI, society and real-world problem solving

Learn by doing

Your education extends beyond lectures and assignments. Depending on your interests and opportunities available, you may:

  • Work with faculty on research in remote sensing, spatial modeling or GeoAI
  • Conduct field studies in campus or local environments
  • Take part in computing competitions and collaborative data challenges
  • Explore study abroad opportunities
  • Connect with student organizations in AI, computer science, geography and related fields

These experiences can help you build technical skills, work with real data and see how geospatial analysis is used to understand complex problems.

Career outcomes

Geospatial data is used across industries to understand where things happen, why they happen and what may happen next. Adding AI skills can prepare you to work with increasingly complex data and analytical tools.

Graduates may find opportunities in areas such as:

  • Technology and location-based services
  • Satellite and drone data analysis
  • Public health
  • Insurance and risk analysis
  • Urban and regional planning
  • Environmental and conservation work
  • Government and public policy
  • Research and consulting

Possible career paths include:

  • Agricultural land analyst
  • Biodiversity specialist
  • Climate risk analyst
  • Environmental analyst
  • Geospatial software engineer
  • Geographic Information Systems specialist
  • Health surveillance analyst
  • Intelligence analyst
  • Location intelligence specialist
  • Public policy analyst
  • Remote sensing analyst
  • Urban planner

You may also choose to continue your education in geography, GIS, AI, environmental science, international trade or a related field.

Take the next step

Use maps, data and AI to better understand the world and help create safer, healthier and more sustainable places. At UB, you will build skills across technology and geography while learning in a research-focused environment with faculty who can help you grow.

Contact us

Have questions about the BS in AI and Geospatial Analytics, advising or how the program fits your goals? Contact: