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Yeates School of Graduate Studies Yeates School of Graduate Studies

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Graduate Program in Spatial Analysis

About the Program
 


The Master of Spatial Analysis with its unique MSA degree designation is an academically rigorous yet professionally oriented, 12-month graduate program with a 16 to 20-month thesis option. Through project-based lectures and labs, a work placement, and a major research paper or thesis, MSA students are prepared to think geographically and master geographic information systems (GIS) to support operational and strategic decision-making in government and industry.

Spatial analysts work for major banks, retailers, and real-estate developers to delineate market areas, estimate sales potentials, and recommend facility locations. Other career fields include environmental analysis and consulting, crime analysis, epidemiology, telecommunications, and natural resource management, to name just a few. Through the effective use of GIS-based analysis, mapping, and reporting, our graduates are shaping the economic and social wellbeing of cities, the settlement and conservation policies of regions, and the health and connectivity of people across the globe. MSA students are also increasingly involved in faculty research and scientific publication, and decide to pursue doctoral studies after graduation.

The following tagcloud provides an illustration of the MSA graduates’ first and current job titles that are known to the program.

The MSA program has its academic home in the Department of Geography, Faculty of Arts, at Ryerson University in downtown Toronto, Canada’s economic engine and one of the most progressive, multi-cultural, and vibrant cities in North America. Ryerson’s Centre for the Study of Commercial Activity (CSCA) was a founding partner of the MSA program, and remains a key contributor to the business geomatics field of study.

The MSA degree can be completed in 12 months (three semesters) by fulltime students and 24 months (six semesters) by parttime students. The degree requirements include four core and two elective courses, a practicum placement (waived for most parttime students), and a major research paper or thesis. Although much of the curriculum is in common for all students, and many of the spatial analysis skills are transferable, three fields of study are recognized: physical/environmental geography and landscape analysis; business/commercial applications; and social and community information analysis. Students participate in one of the fields by selecting electives, the practicum host, and their research topic according to their interests.

 

 

Spatial Analysis:
Program Details
Program-Related News

21 February 2017 - Congratulations to Joseph Ariwi's success with two 2nd prizes at YSGS's "Why Ryerson?" and "My Voice, Our Future" contests!

The first contest was for a 20-word statement explaining why the student chose Ryerson for their graduate education: 2nd Place: Joseph Ariwi, Spatial Analysis MSA "I chose Ryerson for my graduate education because of the depth of expertise and diversity of culture found on campus."

The second contest was for a 1-minute video on who they are and where they are headed after Ryerson: 2nd Place: Joseph Ariwi, Spatial Analysis MSA.

16 November 2016 - We had a successful 15-year MSA Reunion that took place concurrently with the EA user conference reception and a GIS Day-themed display of geovisualization projects from the MSA cartography course on Nov 16, 2016! Many thanks for the enormous support provided by Environics Analytics! Environics Analytics founder and president, @statslady Jan Kestle, is quoted with identifying "Geography as the secret sauce" that integrates data for advanced analytics. The Department of Geography and Environmental Studies at Ryerson University received shout-outs and accolades for training the next generation of data analysts through its BA in Geographic Analysis and MSA in Spatial Analysis programs. See an event report from Dr. Claus Rinner (https://storify.com/ClausRinner/geography-the-secret-sauce-of-data-analytics))


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