The Master’s degree in Technology Leadership & Innovation with a focus on Global Digital Innovation will develop the critical skills, knowledge and experience that the next generation of leaders will need. New digital technologies have revolutionized the way businesses operate and how products and services are delivered. It is critical to understand these new technologies and how they can be leveraged to create value in the global economy. This program builds on core areas knowledge to develop an interdisciplinary education that moves beyond the traditional theories of innovation, which are rooted in the economics of innovation and entrepreneurship, and instead focuses on new models of open innovation and open collaboration. The program also emphasizes the digital drivers of innovation and value creation in our global digital economy, and how to successfully achieve digital innovations.
Admissions Requirements for Purdue M.S
Please visit the Admissions page to learn more about the admissions requirements for the Purdue University M.S. degree.
Plan of Study
Purdue M.S. Classes
Research Methods in Technology & Innovation [3 Credits]
TECH 646 Analysis of Research in Industry and Technology: Analysis of research and evaluation of research reports. Emphasis on understanding the application of fundamental statistical methods in design and interpretation of research findings in industrial, technical, and human resource development environments.
Applied Statistics [3 Credits]
IT 50700: An introduction to measurement strategies in industrial, technical, and human resource development environments. The evaluation of measurement outcomes will be the primary focus of the course.
STAT 501: Applied statistics for students without calculus who anticipate the need to apply statistics in their future work. Intended primarily for graduate students in education and the social sciences. Not intended for students in the mathematical sciences or engineering.
STAT 511: Statistics 511 is a comprehensive introduction to probability and statistical methods for students in engineering and science. It provides a strong foundation for more advanced statistical courses. The emphasis is on the understanding of basic ideas, theories and methodologies. No statistical software packages are required in this course, although their outputs will be used to facilitate teaching and learning occasionally.
Quality & Productivity Management [3 Credits]
IT 500800: Examines the contemporary issues of continuous improvement in quality and productivity in manufacturing and service industries. Includes a close examination of the evolving philosophies bearing on the scope, improvement, and costs of quality assurance programs in industry and technology.
STAT 502: Second course in applied statistics, emphasizing design and analysis of both experiments and observational studies. Regression with several explanatory variables. Regression diagnostics. Analysis of variance for factorial designs. Multiple comparisons. Analysis of covariance. Repeated measures designs. Extensive use of the SAS statistical software. Does not require knowledge of calculus. Good for graduate students in a variety of disciplines whose research will require statistical analysis.
STAT 512: Techniques of modern Quality Control and Management. Topics include Statistical and graphical data summaries, basic tools (pareto charts, fishbone diagrams, flowcharts), Control Charts for Measurement and Attribute data, proper use of Control Charts, Capability Studies, Continuous Improvement, ISO 9000:2008 Requirements, Six Sigma and Taguchi Methodology.
Foundations of Innovation Studies (TLI 520) [3 Credits]
●Provide a broad spectrum introduction to the field of innovation studies.
●Gain practical and theoretical knowledge of innovation at a variety of levels, including the individual, team, organizational, and ecosystem contexts.
●Examine innovation strategies and tensions within the innovation “triple helix” of industry, academia, and government through the use of case studies and individually selected research reports.
●Examine recent innovation efforts and present short innovation cases that align with the learning objectives of the class.
Digital Innovation & Transformation (TLI 526) [3 Credits]
●Explore the various effects the digital revolution has on the foundations of competitive advantages and thereby prepares its students in developing digital innovation and transformation strategies.
●Identify the technological reasons for and the nature of the digital revolution.
●Analyze technological trends and apply trends to changes in firm strategies and leadership decisions.
●Assess and strategize how firms can better organize for innovation by making use of digital technologies and their affordances Examine digital technologies and describe how these technologies allow for mass customization and customer co-production.
Behavioral Analytics (TLI 527) [3 Credits]
●Provide a foundation of skills and tools that enable students to determine their own project topic, collect the data that they need, manipulate that data, and perform analysis consistent with their data.
●Identify behavioral data and develop hypotheses.
●Collect data from websites, APIs, and Databases.
●Use methods and tools to clean and organize that data.
●Use Visualizations and Statistical techniques to address behavioral hypotheses.
Research in Open Innovation (TLI 625) [3 Credits]
●Gain an overview of the scientific literature on open innovation with the OIR Matrix developed for this class as basis for scientific research inquiry into open innovation.
●Develop your own theoretically and practically motivated research question in the field of open innovation and develop a theoretical model and hypotheses.
●Develop a research design for your project, identify (or plan collection of) data, and pilot your research question using small or ‘big data’.
●Participate in an action-oriented research project on open innovation and research-design learning
Technological Innovation and Problem Solving Seminar (TECH 621) [3 credits]
●Explore the technological process and the complex, interdisciplinary nature of decision-making in the course of research and development, product development, technology management and technology commercialization.
●Explore central concepts of technology and innovation in depth.
●Gain better understanding of the innovative process and best practices for successfully engaging in and fostering effective R&D, product development, technology management, human resource development, process improvement and technology commercialization initiatives.
Directed Project/ Purdue IronHacks [3 credits]
●Students will gain real-world digital innovation experience by participating in Purdue IronHacks. IronHacks is digital innovation contest in which students develop digital apps with social impact. These apps offers citizens around the world new ways to make better and informed decisions. Please learn more about IronHacks here: www.ironhacks.com.
Business and Data Analytics[3 credits]
●Understand data acquisition, preparation and processing, statistics, data mining, visualization, computational science, natural language processing
Life of a Faculty Entrepreneur [3 credits]
●Introduction to the intellectual, financial, leadership and management processes for translating research into tangible products.
Note: a minimum of two elective courses will be required to complete the Purdue M.S. in Technology Leadership & Innovation as part of the Dual Degree Program. Additional electives will be added at a later date.