Courses

This course provides an in-depth exploration of social entrepreneurship and innovation as a set of promising pathways to drive social change across sectors using a systems-led approach. Students will delve into understanding complex social and environmental problems at a systems level, equipping them to contribute to long-term, sustainable solutions.

This course addresses the macro and micro effects of gender in the workplace, from the complicated reasons for the lack of representation of women in senior leadership across sectors to the dynamics of individuals of various genders working together. The landscape of the workplace has changed dramatically over the last few decades, and with a shift towards a more diverse and global workforce, understanding the intersection of work dynamics and gender is critical.

Community Organizing is for those who could imagine running national or local advocacy organizations that make change happen or anyone who wants to understand the art of community organizing. It will provide an overview of and training in contemporary community organizing practice in the United States. This includes defining what community organizing is and identifying its value base; exploring the strategies, tactics and activities of organizing; and thinking about marketing, language and evaluation.

This 7-week course exposes the students to the application and use of data analytics in setting public policy. The course does so by teaching introductory technical programming skills that allow students to learn and apply Python code on pertinent public policy data, while emphasizing on applicability. The course is accompanied by readings for each class in order to contextualize why data analytics supplements but doesn’t replace the student / professional role in setting public policy.

R is a powerful open source language and environment for statistical computing and graphics. R provides a wide selection of statistical and graphical techniques. It is rapidly becoming the leading language in data science and statistics. R can easily tackle linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering and more.

In early 2020 the intertwined economic, social, and political crises facing cities brought renewed public awareness to entrenched racial inequality and oppression in the United States, particularly anti-Black racism. Students in this course will develop a critical understanding of the causes and consequences of racial inequality in America with a focus on spatial inequality, racial segregation, and concentrated poverty in cities. We will start by exploring the historical role markets, policy, and civil society have played in creating and perpetuating urban inequality.

This course is designed to study the essential role of human resources management within healthcare organizations. It is required for health management students and recommended for health policy and finance students. In order to meet the challenges of the marketplace, organizations will need to improve the quality of the services they provide; streamline their clinical delivery and support systems, and transform their human resources management accordingly.

Healthcare Reimbursement Strategies is designed to familiarize students with the various health care payment systems that are used by various healthcare payers. The course focuses on Medicare's prospective payment systems for hospital and other provider type reimbursement. It also covers New York State Medicaid reimbursement issues and provides a general understanding of the healthcare charge structure. The course will also focus on the fundamentals of establishing a compliance program to identify and prevent fraud and abuse issues.

This graduate course is an introduction to major health policy issues and examines the role of government in the health care system. An important focus of the course is an assessment of the role of policy analysis in the formation and implementation of national and local health policy. Because much of government health policy relates to or is implemented through payment systems, emphasis will be placed on the discussion of the policy implications of how government pays for care.

This course encourages students to think creatively about what it means for a healthcare organization to make quality the highest priority. We will explore the current forces driving the push toward quality outcomes and accountability at all levels and settings of healthcare, while focusing on the philosophy of continuous improvement through team work and statistical thinking. Students will use structural tools for analysis, decision making and performance measurement.

Restricted to students in the Executive MPA Program.

This course is designed to create an “action learning” community in which students will integrate their professional experiences, and other graduate course work, with a final exploration of leadership concepts, theory and applied practice.

This course examines reproductive rights law and policy in the United States and how advocacy can impact it.

An organization’s brand can help it raise money, create change, and recruit participants as it effectively communicates its mission. But a brand is more than just a logo or a memorized elevator pitch, it is the way both internal and external audiences perceive your organization—and shaping this perception is as essential to the success of nonprofit and public organizations as it is to for-profit organizations.

Cross-sector collaborations are a response to the increasing recognition that many of the pressing challenges of our time are complex and requires a systems approach. Such challenges must involve multiple stakeholders, guided by principles of inclusion and equity, and draw on a full range of resources to achieve results that cannot be achieved by working in silos, including stakeholders’ expertise, experience and insights, relationships and networks, and financial contributions.

In our increasingly data-reliant and data-saturated society, people who understand how to leverage data to generate insights have the power to change the world. Data visualization and storytelling is a crucial skill for policy and data analysts, communications and marketing professionals, and managers and decision-makers within nonprofits, social organizations and the government. With the advent of visualization tools that do not require coding, data storytelling in the digital age is also an attainable skill set for people with varying levels of technical ability.

This course is designed for upper-class undergraduates who have a social innovation project, entrepreneurial business, or CSR idea to develop or implement. Also welcome to the course are students who would like to learn and practice success skills and employment strategies, and are willing to participate in class teams with other students who have project ideas.

This course will explore the fault lines within the field of philanthropy and prepare students to effectively leverage resources for their organizations. The course will examine different approaches to grantmaking including: social entrepreneurship, effective altruism, venture philanthropy, social justice grantmaking, and strategic philanthropy.  Students will learn the differences across these conceptual frameworks and understand how they influence the ways in which foundations establish goals, develop strategies, evaluate grantees, and determine grant awards.

How does someone go about changing the world? What does social change theory suggest are the most effective tactics to change hearts and minds? What can we learn from the past about what it means to be an effective agent of change? How have social entrepreneurs created organizations that become engines of change? How has technology, social media and trends in mainstream media changed the rules of the game?  

The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.

The past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational methods to analyze such datasets. Such methods, developed in the closely related fields of machine learning, data mining, and artificial intelligence, provide a powerful set of tools for intelligent problem-solving and data-driven policy analysis.

The past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational methods to analyze such datasets. Such methods, developed in the closely related fields of machine learning, data mining, and artificial intelligence, provide a powerful set of tools for intelligent problem-solving and data-driven policy analysis.

We enter any subject of investigation filled with learned viewpoints, opinions, and select facts that we choose to employ. This helps to make the task of uncovering what we mean by Jewish and Jewish community fraught with unusual difficulty. Whatever our background, it will be hard to shake preconceived positions. In addition, the Jewish community seeks to nurture purely voluntary association at a time of little support in the popular culture for sustaining communal norms, existing institutions or unenforceable obligations.

This course introduces students to the main areas of corporate finance and how they relate to policy issues and discussions. The course covers topics in the three main areas of corporate finance: 1) capital structure (financing choices), 2) valuation (project and firm valuation) and 3) corporate governance (optimal governance structures). We will analyze how public policy, through taxes, public expenditures and regulation, affect these aspects of corporate finance.

Multiple regression is the core statistical technique used by policy and finance analysts in their work. In this course, you will learn how to use and interpret this critical statistical technique. Specifically you will learn how to evaluate whether regression coefficients are biased, whether standard errors (and thus t statistics) are valid, and whether regressions used in policy and finance studies support causal arguments.