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The MS in Urban Analytics degree is a one-year program (three semesters), designed to give graduates a core of computing, urban planning, and data analysis and visualization skills to identify, analyze, and solve urban problems. Students will integrate those skills in an interdisciplinary way that other, single-discipline-oriented urban analytics degrees might not, and will experience a depth of urban problems addressable with data analytics.
Given most of the future population growth will be in urban regions, and that these regions will be the key to sustainable development, making cities smarter is critical for future livability. The M.S. in Urban Analytics (MSUA) brings Georgia Tech’s recognized strengths and expertise in data analytics to focus on the critical problems facing urban regions.
The School of City and Regional Planning administers this multidisciplinary program in partnership with the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), School of Computational Science and Engineering (CSE), and School of Interactive Computing (IC).
Urban analytics is an emerging field that incorporates smart cities, urban informatics, and urban science. The goal of urban analytics is to leverage data science in addressing major issues cities continue to face. These issues include air, water, and land pollution, carbon emissions, traffic congestion, inadequate housing options, and disparities in access to urban services.
Application A bachelor's degree (4 years) from a regionally accredited college or university in the United States, or an equivalent degree. Official Transcripts GPA 3.0 out of (4.0 scale) TOEFL iBT: 100 OR IELTS 7.5 overall Letters of Recommendation Personal Statement CV Submitting Graduate Record Examination (GRE) Scores is required of all applicants with the exception of Georgia Tech undergraduates or graduates with a GPA of 3.0 or higher.
Urban Analyst
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Georgia Institute of Technology
