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International Dual Degree Master's Program in Geographic Information Systems

Istanbul Atlas University & Redlands University, California
Two Universities. Two Countries. One International Graduate Experience.

The International Dual Degree Master’s Program in Geographic Information Systems (GIS) brings together the academic expertise of Istanbul Atlas University and the internationally recognized GIS education and research environment of the University of Redlands in California, USA.

Designed for students seeking advanced academic and professional expertise in geographic information systems and emerging geospatial technologies, the program combines graduate-level education in Istanbul with an international academic and research experience in California.

Students complete the first year of the program at Istanbul Atlas University and continue their second year at the University of Redlands, where they undertake advanced GIS studies and thesis research under the guidance of academic advisors from both institutions.

Why This Program?

Geographic information technologies are increasingly shaping decision-making across government, business, urban development, environmental management, transportation, infrastructure, security, disaster management and many other fields.

This interdisciplinary master’s program prepares students to work at the intersection of geospatial technologies, data science and artificial intelligence.

The curriculum provides a strong foundation in:

  • Geographic Information Systems (GIS)
  • Spatial and Location Analytics
  • Geographic Database Management
  • Remote Sensing and Image Processing
  • Machine Learning and Artificial Intelligence
  • Big Data Systems and Analytics
  • Programming for CBS
  • Web GIS Technologies
  • Data Visualization
  • Digital Twin Technologies
  • Advanced Algorithms and Computer Networks

Students combine theoretical knowledge with practical applications and research-oriented project work.

A Unique International Academic Experience

One of the distinguishing features of the program is its international structure.

Year 1 – Istanbul, Türkiye Students complete the core academic curriculum at Istanbul Atlas University, developing their foundations in information technologies, data analytics, artificial intelligence and geographic information systems.

Year 2 – Redlands, California, USA Students continue their studies and thesis research at the University of Redlands, benefiting from its long-standing expertise in geographic information science and its location at the heart of one of the world’s leading geospatial technology ecosystems.

During the thesis period, students conduct research under the supervision of academic advisors from both Istanbul Atlas University and the University of Redlands.

At the Heart of the Global GIS Ecosystem

Founded in 1907, the University of Redlands has developed an internationally recognized academic environment in Geographic Information Science.

Located in Redlands, California — also home to Esri, one of the world’s leading geographic information systems and mapping technology companies — the university offers students exceptional exposure to developments in geospatial technologies, spatial analysis and location intelligence.

The University of Redlands and Esri maintain extensive links in GIS education, research, professional development and student opportunities, creating a dynamic environment in which academic knowledge and real-world applications come together.

Program Structure

  • Time: 2 years / 4 semesters
  • Total Credit: 120 ECTS
  • Language of Instruction: English
  • Program Type: Thesis-based Master’s Program
  • Year XNUMX: Istanbul Atlas University – Istanbul
  • Year XNUMX: University of Redlands – California

The program includes compulsory and elective graduate courses, seminars, applied GIS training and a master’s thesis.

From GIS to Artificial Intelligence and Digital Twins

Modern GIS is no longer limited to digital mapping.

Geospatial technologies are becoming an essential component of smart cities, digital twins, artificial intelligence, infrastructure management, environmental monitoring, logistics, mobility systems and strategic decision-making.

For this reason, the program has been designed to provide students not only with traditional GIS competencies but also with the technological skills required for the next generation of geospatial applications.

Graduates will be equipped to understand, analyze and develop solutions based on complex spatial and data-driven systems.

Career Opportunities

Graduates of the program may pursue careers in areas including:

  • Geographic Information Systems
  • Geospatial Data Science
  • Spatial and Location Analytics
  • Smart Cities
  • Digital Twin Technologies
  • Urban and Regional Planning
  • Transportation and Mobility
  • Environmental and Natural Resource Management
  • Remote Sensing
  • Infrastructure Management
  • Artificial Intelligence and Data Analytics
  • Government and Public Administration
  • Technology and Consulting
  • Academic Research

The international structure of the program is designed to provide graduates with both strong technical capabilities and experience working within different academic and professional environments.

An International Gateway to the Future of Geographic Spatial Technologies

The Istanbul Atlas University–University of Redlands partnership offers students more than a traditional master’s degree.

It provides an opportunity to study in two different academic environments, gain international research experience, work with advanced GIS technologies and become part of the rapidly expanding global geospatial ecosystem.

For students seeking careers in GIS, spatial data science, artificial intelligence, smart cities and digital transformation, the program provides a distinctive pathway combining academic depth, technological expertise and international experience.

Applications

Candidates interested in joining the International Dual Degree Master’s Program in Geographic Information Systems may apply through Istanbul Atlas University.

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