Healthcare Management

ACCT 575: Financial and Managerial Accounting in Healthcare

MGMT 536: Leading Healthcare Change

This course covers theory and technique for leading organizations through transformation at the broad strategic level and in terms of improving operations, all within the unique context and challenges of the health care industry.

MGMT 537: Healthcare in Leadership

You will learn about leadership in a way that is engaging and insightful. You will use a number of interviews with healthcare leaders to help understand the subtleties of leadership action. You will also use a number of exercises, cases, and reflections to have you experience different elements of effective leadership. The exam, term paper, and other writing assignments will ask you to analyze and reflect, rather than simply memorize and recite.
 

MGMT/ENTR 548: Healthcare Entrepreneurship

In this course, you will focus your business and entrepreneurial skills on contemporary healthcare challenges and opportunities.  Through a series of readings, case studies, discussions, guest speakers, and assignments, you will explore a number of contemporary healthcare problems and identify entrepreneurial solutions to these problems. Graduate-level requirements include completion of one additional assignment.

MKTG 538: Innovative Strategies in Health Care Marketing

In this course, you will take a "customer-centric" view and explore how participants in the health-care sector (physicians & nurses, hospital administrators, executives in the pharmaceutical and medical devices sectors, as well as various intermediaries who service the sector) can improve the effectiveness and efficiency of their offerings (both products and services) to help with the needs of their customers- the consumers of health care, i.e. the patients and their families.

MGMT 534: Healthcare Quality and Reliability

MIS 545: Data Mining for Business Intelligence

This course will cover data mining for business intelligence. Data mining refers to extracting or "mining" knowledge from large amounts of data. It consists of several techniques that aim at discovering rich and interesting patterns that can bring value or "business intelligence" to organizations. Examples of such patterns include fraud detection, consumer behavior, and credit approval. The course will cover the most important data mining techniques - classification, clustering, association rule mining, visualization, prediction - through a hands-on approach using XL Miner and other specialized software, such as the open-source WEKA software.

MIS 561: Data Visualization

The goal of this class is to introduce students to principles and tools of data visualizations and create visualizations using appropriate tools for two different but related purposes: (1) exploration; and (2) presentation. The first part is about trying to understand the data and test hypotheses that drive the data visualization effort, and formulate a story; the second part is to convey that finding to others in a convincing manner.