This 36-credit-hour program is split across three semesters. Here's a step-by-step look at your next 12 months:
Leadership Assessment and Development
IIME400 — Summer Semester 3 Credit Hours
In this course, you will get to know yourself better by completing assessments and making sense of them, having team discussions, presenting to the class, engaging in various experiential activities, participating in a coaching session, working with a team, and expanding your knowledge of leadership skills and abilities. You will also be introduced to human behavior in organizations through instruments developed by faculty in the Department of Organizational Behavior, and learn about the themes and issues that organizations have in common.
Technology Marketing Strategy
IIME475 — Summer Semester 3 Credit Hours
High technology products and services are unique in the levels of ambiguity and risk that challenge a manager's ability to craft a marketing strategy. Understanding the customer, reading market trends, creating a compelling vision of value, and launching marketing programs (already foreboding tasks in traditional marketing situations) have a heightened sense of uncertainty in the context of high technology platforms such as nanotechnology and regulated medical devices. This course draws on contemporary ideas in the literature by thought leaders in technology marketing. We work through several marketing models and methods in practice today to assist students to synthesize and build appropriate conceptual and managerial frameworks for technology marketing practice.
Accounting/ Finance and Engineering Economics
IIME410 — Summer Semester 3 Credit Hours
The goal of this course is to develop a working understanding of accounting, finance, and economics and to apply this understanding to develop the skills necessary for a career in a business organization.
Applied Statistics for Decision Support in Data Science
IIME 476-Summer Semester 3 Credit Hours
In this intense summer application-oriented course, the goal is to bridge traditional statistical tools with the R language to prepare beginning graduate students for further study in data science. Managerial decision support involves the collection, analysis, and interpretation of data for understanding uncertainty and risk in decision-making; quite simply, decision support requires statistics! The “R” language plays a significant role facilitating the building of statistical and data science models and approaches to visualizing data and making predictions to support decisions, but absent a foundational knowledge in probability and statistics the impact of the tools and their use may not be fully realized. The course is project-based to provide direct application of probability and statistics to the extraction of knowledge from data.
Understanding People and Change in Organizations
IIME 425 — Fall Semester 3 Credit Hours
The purpose of this course is to understand why people act and behave the way they do in organizations. This course balances underlying theories with practical examples and real life situations. Behavior is examined, and models and tools are provided to the student. The intent is to make the student a better diagnostician and to better inform the student of the organizations in which he or she may find his/herself.
Product and Process Design, Development, and Delivery I & II
IIME 430 A & B — Fall & Spring Semesters 6 Credit Hours
Product and process development (PPD) are integrated activities in business, and this course develops an integrated approach to the understanding and practice of the complex relationships among customers, designers and manufacturers that define PPD.The course is built around a capstone project emphasizing different aspects of the product and process design and development activities of cross-functional teams. Case studies are used to illustrate and understand PPD successes and failures.
Operations Research and Supply Chain Management
IIME 432 — Fall Semester 3 credit hours
This course is an introduction to operations research, focusing on applying operations research tools to manage business and organization's supply chain operations. Operations research (also called management science) is the discipline of applying advanced mathematical methods to help make better decisions. By using techniques such as mathematical modeling to analyze complex situations, operations research gives executives the power to make more effective decisions and build more productive systems based on considerations of all available options, careful predictions of outcomes and estimates of risk, and the latest decision tools and techniques. Operations research solves problems that arise in every business function (e.g., operations, finance, marketing, accounting, HR), every economy sector (e.g., financial, healthcare, industrial goods, technology, utilities), and every business type (e.g., for-profit and non-profit, start-ups and Fortune 500 companies), even government.
Six Sigma and Quality Management
IIME 440 — Spring Semester 3 Credit Hours
This course provides an introduction to managing quality throughout the supply chain in both manufacturing and service organizations, utilizing the popular Six Sigma approach. The familiar DMAIC (define, measure, analyze, improve, control) problem solving approach will be emphasized.
Students will learn the basic tools of quality (such as cause-and-effect diagrams for brainstorming), quality processes (such as benchmarking), and quality management including quality planning, quality control,and quality improvement. The course will include the subject of statistical process control, an integral component of Six Sigma.
IIME 11069 — 3 units offered in the Fall
Entrepreneurship is an area of importance to business leaders, educators, politicians, and individual members of the society. It is a driver of economic development and wealth creation in organizational units ranging in size from the individual company to entire nations.
Technology-based entrepreneurship is particularly important to this economic development due to its impact on productivity and its potential for exponential growth.
This course will emphasize a variety of issues related to enhancing innovation, demonstrating that there are not many “absolute truths,” but there are numerous best practices.
Representative Sample of Other Electives
- Regulatory Affairs for the Biosciences (*)
- Models of Healthcare Systems(*)
- Independent Projects
- Fundamentals of Clinical Information Systems
- Technology Marketing Strategy
- Lean service operations
- Health economics and strategy
- Commercialization and Intellectual Property Management
- Marketing Metrics
- Supply Chain Logistics
- Executive Leadership
- Leadership in Diversity and Inclusion:Towards a Globally Inclusive Workplace
- Exploratory Data Science
- Advanced Control & Energy Systems
- Translational Research for Biomedical Engineers
- Entrepreneurship & Innovation
*The two courses are for 1.5 credits and are generally taken together in one semester