Managing modern technologies calls upon a synthesis of tools drawn from many disciplines: science and engineering, computers and information, economics and regulation, psychology and community values, design and assessment.
The M.S. in Technological Systems Management at SUNY Korea currently allows students to pursue one of two focus areas:
This is a highly focused program that prepares students for a variety of positions related directly to managing the technical operations and process systems of global organizations. The goal of the program is to introduce students to modern technologies with an emphasis on teaching students how to use technology to conduct business activities, and how to apply emerging technologies to improve operations. It emphasizes learning analytical, diagnostic, and quantitative skills. It draws on courses in Engineering Management and Technology Systems Management from Stony Brook University.
This focus area centers on next generation networks and related digital technologies that can impact disaster risk reduction (DRR). They include, among others, next generation (currently LTE) public safety networks, satellites, robotics, the Internet of things, artificial intelligence, virtual reality and augmented reality. Disaster risk reduction, as understood in this focus area, follows the Sendai Framework, adopted at a UN World Conference in 2015. Among its innovations, the framework shifts the focus from disaster loss to disaster risk, from disaster management to disaster risk management. It also broadens the scope of the effort to include slow-onset, man-made and bio hazards.
Modern management's approach to quality has changed radically in the last 20 years; this course explains why and how. It covers methods used by both manufacturing and service organizations to achieve high quality: how each organizational function is involved in quality; how improving quality can reduce costs; importance of communication; importance of involving all employees; need to measure quality; and introduction to statistical quality control and how it is used.
This course provides students with frameworks and models for analysis of issues at the intersection of science, technology and public policy, and business strategy; and helps students develop skills to work on policy issues that require deep understanding of the technical details. Topics include utility/profit maximization theory, its limitations and alternative theories, business and government interactions, technology innovation and managements, policy process (agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, evaluation of policy outcomes). Cases drawn from energy and environmental policy, educational technology, STEM education will be used to illustrate stakeholders and their value structures, high levels of uncertainty, multiple levels of complexity, and their influence on policy intervention. This course emphasizes quantitative policy analysis methods, and critical thinking.