This course is designed either for students who wish to embark on or further careers in politics and for those interested in exploring the dynamic field of political communication. Three themes anchor the course material: 1.) strategic communication, or deliberate and goal-oriented communication, which enables professionals to analyze and execute political strategy; 2.) message, which enables the crafting and critique of more or less effective political communication; and 3,) research, which political professionals use to formulate, shift and optimize their strategies.
This course covers the basic elements of crisis communication and the procedures for creating crisis communications plans and for reacting to crises when they occur. How best to develop various plans for different critical audiences and understand the most effective strategies for communicating your organization’s message during a crisis is explored. The course examines various types of crises that can occur with corporations and nonprofit organizations and the differences and similarities among them. How to avoid the classic and common pitfalls of crisis communication are addressed, as are ethical issues that arise during crises. Numerous case studies are discussed in class and exercises both in and outside of class are assigned so students gain experience in crisis communication situations.
Restorative Justice (RJ) is rooted in ancient approaches to conflict resolution, aboriginal justice, and religious texts. It has re-emerged as a promising
new
paradigm - a supplement and sometimes an alternative to the criminal justice system’s existing response to wrongdoing. Perhaps most importantly, it is also an alternative response to harm or conflict at the micro, meso, and macro levels.
In this course, we will explore restorative justice and the ideas that form its foundation. We will question its strengths and shortcomings, examine restorative practices, and investigate opportunities to put the theory into practice. Over the course of the semester we will critically examine restorative justice theory, principles, and concepts while creating a unique opportunity to explore the philosophy from various perspectives, and as it is applied in various contexts.
Discussions and readings will take a critical look at how restorative justice presents a contrasting philosophy of justice that addresses the needs of multiple stakeholders, draws from faith-based and indigenous approaches, and challenges interpersonal and structural forms of harm. We will also explore intersections and applications of restorative justice within multiple fields and movements including racial justice, trauma healing, education, youth development, and transitional justice.
Although the focus will be on exploring theoretical, empirical, and experiential restorative approaches, there will also be some opportunity to develop and practice applied “facilitation” skills. As we examine the problems and limitations associated with dominant (punitive) responses to crime and rule violations, we will assess how restorative justice presents an alternative philosophy of justice and seek to understand the costs and benefits associated with attempts to apply that philosophy in different contexts, including criminal justice, schools, families, communities and nations.
You will be asked to discuss specific conflicts, dissect them through a restorative lens, and actively lead course discussions on your selected conflict. The format hopes to foster a participatory environment. This course is open to NECR and non-NECR students who are interested in further expanding their work in self-awareness, facilitation, conflict transformation, conflict analysis, and analyzing systems.
In an era of growing environmental and social awareness, supply chains have emerged as a powerful lever for driving
sustainability in operations. Supply chain emissions are, on average, 11.4 times higher than operational emissions (1)
making them a critical focal point for impactful change in operations. This course explores the essential role of supply
chains in achieving sustainable outcomes and equips students with the tools and insights needed to transform
conventional practices into innovative, responsible, and efficient systems. This course is part of a broader curriculum
aimed at cultivating leaders who can integrate sustainability into the heart of business strategy. It is designed for
students from diverse professional and academic backgrounds, no prior experience in operations or supply chain
management is required to excel in this course.
Through this interdisciplinary journey, students will gain a robust foundation in supply chain management, learning
to integrate sustainability principles across operations. The course balances analytical skills with creative problem-
solving, preparing students to address real-world challenges. Upon completing this course, students will gain a
comprehensive skillset to analyze, design, and implement sustainable operations solutions in their future careers.
Students will gain a comprehensive understanding of the strategic role of supply chains in modern economies,
including their critical impact in decarbonization efforts. Students will also learn to apply key analytical tools such as
demand forecasting and risk assessment, while mastering strategies for sourcing, supplier management, and logistics
optimization.
This is an interdisciplinary workshop for scientists, future NGO workers and journalists seeking skills in communicating 21st-century global science to the public. Scientists will be given journalism skills; journalists will learn how to use science as the basis of their story-telling. The course is designed to give students exercises and real-world experiences in producing feature stories on global science topics. While most scientists and international affairs professionals have been trained to write in the style of peer-reviewed journals, we will focus on journalism techniques, learning how to translate global science into accessible true stories that reach wide audiences.
Science is performed by passionate individuals who use their intelligence and determination to seek answers from nature. By telling their histories and uncovering the drama of discovery, we believe that there are ways for science to be successfully communicated to readers who might otherwise fear it.
This seminar will provide students with an accessible overview of the United States regulatory framework and enforcement issues specific to nonprofit organizations, section 501(c)(3) tax-exempt public organizations, and other tax-exempt entities, with the goal of training nonprofit managers to spot and understand how to respond to key legal issues that arise in the course of a nonprofit’s day-to-day work and operations.
The class will cover regulatory, legal and policy underpinnings of the philanthropic sector, focusing on both the independent and interlocking nature of the federal and state regulatory and enforcement community that oversees the sector. The class will also address key legal issues of which nonprofit managers should be aware, such as the regulatory and enforcement parameters of charitable solicitation (including via social media), compliance with legal rules regarding “lobbying” and prohibited “political activity”, navigating legal requirements for working internationally, setting compensation for executives and other key personnel, and working with organizations that are not tax-exempt under section 501(c)(3). Some class discussions will be supplemented by invited guest speakers who have had an impact on the direction of charity law and regulation.
Legal Landscape is a one-semester elective course that delivered virtually and is open, space permitting and with permission of the professors, to cross-registrants from other fields and programs at Columbia University. While there are no prerequisites for the course, it is helpful to have taken Leadership & Management of Nonprofits, or have some understanding of basic nonprofit governance and management.
This course is designed to provide students with working knowledge on how to make successful investments in sustainable companies and to prepare students to be conversationally literate in financial reporting. As you leave the school and become leaders of organizations financial literacy will be a skill set that will be vital to success no matter what career path you go down. It starts with a strong foundation in accounting and corporate finance, then moves on to ESG/Impact screening of potential investments, along with valuation techniques used to arrive at a purchase price. It will explore financial models that can aggregate multiple variables used to drive investment decisions.
To understand and lead a transition to a sustainability-aware business, managers must first be familiar with the terminology, practices and consequences of traditional accounting and finance. Students will learn traditional financial and accounting methods and tools. We will examine how these methods and tools are changing to improve product and service design, resource efficiency and allocation, employee productivity and sustainability performance outcomes. Students will learn how value is created in a company and the different methods employed to create that value, conduct due diligence, discuss optimal capital structure to finance a transaction, execute a transaction, and implement a Sustainability-based value-added operating plan to the target company. The course will conclude with students preparing a persuasive investment memo and accompanying financial model to the investment committee of an impact investing asset management firm. The course also provides a practical introduction to selected non-financial accounting topics including sustainability reporting standards, ESG corporate performance indicators and corporate social responsibility report (CSR Reporting).
This graduate-level elective course examines how technology, particularly digital and social platforms, data analytics, and artificial intelligence (AI), are reshaping nonprofit management strategies, operations, governance, and stakeholder engagement. The course is situated within a broader debate about the role of nonprofits to drive sustainability and social impact goals. Students will evaluate how emerging technologies create new opportunities, but also challenges, such as a rising AI divide. Students will critically assess how nonprofits adopt, adapt, or resist technologies. They will also explore how technological tools influence strategic decision-making, program delivery and evaluation. This includes discussions about fundraising, advocacy building via digital channels, and governance systems.
Drawing on interdisciplinary scholarship from nonprofit studies, technology management, sociology, and public administration, the course balances practical managerial considerations with critical analysis. Students will engage with real-world cases, academic research, and applied tools to develop both conceptual frameworks and strategic competencies for leading nonprofits in a technology-saturated environment.
An elective of the M.S. Nonprofit Management program, this course is open to graduate level SPS and Columbia students with a focus on nonprofits and/or civil society. It was designed to help students evaluate and apply technology to drive change as a nonprofit. There are no prerequisites to enroll for this course for graduate students.
This course explores the intersection of theory and practice in conflict resolution, giving students the opportunity to apply theories, models, and frameworks to real world scenarios. Students will analyze case studies, review current events, and bring to bear their own experiences in international, organizational, community and interpersonal conflicts in an interactive setting as they continue to develop and hone their critical thinking and conflict analysis skills.
Drawing from the disciplines of social and clinical psychology, political and organizational sciences, and international relations, conflict resolution practitioners have at their disposal a wealth of research that can inform their analysis of a situation and how to assist parties to mitigate, de-escalate and prevent conflict.
Participants in this class engage with the course readings, instructors, and each other to critically analyze and deconstruct complex conflicts in a variety of contexts. A focus on the actors, issues, structures, strategies, and processes inherent in a conflict will be used to identify opportunities to change conflict dynamics. Applying conflict resolution constructs and frameworks such as interdependence, intergroup conflict, social identity, bias, peacebuilding, power dynamics, culture, and negotiation frameworks, are among the key learnings integrated into the course.
The competencies advanced in this class are intended to be applicable beyond the program into other areas of life. Students will be empowered to reflect critically on texts, select relevant data, understand the applicability of a theory, and offer results-based recommendations in contexts ranging from global to personal.
Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
APPLIED MACHINE LEARNING II
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Prerequisites: STAT GU5204 and STAT GU5205 Open to MA students in Statistics only Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
This course examines the discipline of global marketing communication, including the environmental factors that enabled global marketing. The course assesses early models of communication management and the current factors that enable global communication programs: the identification of global target audiences; the kinds of products and services that lend themselves to global communication and those that don’t; and the characteristics of leadership brands that are preeminent in global communication today. Students consider how levels of development and cultural values affect communication programs and how local differences can be reflected in global programs. Message creation and the available methods of message distribution are evaluated in the context of current and future trends. Students learn how to approach strategy and develop an integrated, holistic global communication program and how to manage such a program.
Dynamical Systems Theory (DST) is a methodology developed in the hard sciences to understand complex systems—from the weather to the functioning of cells, using mathematical algorithms. We added the lens of social-psychological concepts and practices to better understand how to apply DST to conflict. We are now applying DST to conflict analysis and resolution for larger social problems and conflicts that are protracted, deeply embedded and have multiple complex issues. This DST approach goes beyond linear problem-solving and embraces complexity in new ways. Dynamical Systems and Conflict Resolution (NECR 5210) is a required 3-credit course in the Negotiation and Conflict Resolution Program (NECR). Students are expected to spend on average 20 hours per week on this course, including media, group work, readings, and other assignments. NECR 5210 builds on concepts from Understanding Conflict and Cooperation (NECR 5101), where students became familiar with conflict resolution frames, theories, and models, as well as a basic understanding of the DST approach. This course will further develop and advance student understanding and use of advanced DST concepts and tools that will be useful for scholar-practitioners facing situations that require a systemic approach for more highly complex conflicts. It is a complementary approach that rounds out the other concepts and skills student learn in the program. Throughout this course students will work individually and in groups on multiple case studies, to understand and apply DST methodology, while developing an appreciation for the more fluid and non-linear DST approach.
Open to MA students in Statistics only Prerequisites: STAT GU4205 or the equivalent. Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.
This course introduces the Bayesian paradigm for statistical inference. Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models, Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software.
Prerequisites: A course in the theory of statistical inference, such as STAT GU4204/GR5204 a course in statistical modeling and data analysis such as STAT GU4205/GR5205.
Change is a necessary and constant part of any organization. The change may be expected, or it may be in reaction to unanticipated external and/or internal factors. In fact, organizations that do not change do not last.
Change initiatives can be exceedingly complex and disorienting, however. The success of a given changeinitiative often rests on the clarity of vision of an organization’s leaders; an accurate and sensitiveunderstanding of the organization’s culture; the involvement, input and buy-in of multiple internal andexternal stakeholders to the change objectives and process; leaders’ ability to leverage technology tocommunicate and drive change; and an organization’s analytical capabilities to document and measureprogress, and continue to iterate and improve.
In light of these requirements, this course seeks to ask: What is the role of the HCM leader in facilitatingchange within an organization? The aims of this course are not abstract. This course will help studentsdevelop skills to support actual organizations (their own and/or others) through change. Lectures, readings,videos, in-class and asynchronous discussions, and assignments will all focus on the practical application ofchange theory and empirical research to real-world organizational contexts.
This course is an advanced elective within the Master of Science in Human Capital Management program.Prerequisites include “HCMPS5100: Introduction to Human Capital Management,” and “HCMPS5150:Integrated Talent Management Strategies.” Some familiarity with people analytics and digital approaches toHuman Capital Management will also be helpful.
Future of Work course to complement 1.5 credit internship course.
Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.
The creation and maintenance of sports leagues is a nuanced and complex endeavor. This course examines the format, hierarchy, membership, governance, and operational efficiencies of several sports leagues that have been launched with varying levels of success. Through a combination of lectures, case studies and guest speakers, students will learn about the ideation, funding, legal aspects, marketing, media strategy and monetization of these businesses, both domestically and globally. Students will gather data about emerging sports leagues of the past and present and conduct research on the leagues of their choice. The culminating project in this course will be an original proposal by student groups of a new sports league, addressing all of the aforementioned dimensions in a formal presentation to potential ‘investors.’ Students will present their proposal via online video conference for instructor feedback following the block week. This course is ideal for students who have an interest in the structural and operational decisions that affect the success and sustainability of sports leagues and their members.
This is an elective course for the M.S. program in Sports Management; students in the program may take this course when allowed by their curriculum requirements. Students outside of the Sports Management program may take this course upon approval of the Academic Program Director.
Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. Open to MA students in Statistics only A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.
This course provides strategic communication students with the foundational notions and methods of design needed to collaborate with designers and amplify their work. It examines the impact technology and social transformations are having on design: the application of digital and generative technology, the redirection toward human-centric approaches, and the discipline’s standing in embracing social and ethical concerns related to ensuring inclusivity and preventing cultural bias. The course begins with a historical overview of design’s evolution and contemporary methods, setting the stage for an in-depth exploration of visual perception principles and key design elements like shape, form, color, typography, imagery, and layout. Students will apply the knowledge gained by experimenting with design practices and developing design strategies and applications through serial hands-on, collaborative assignments and workshops.
Sitting at the intersection of business strategy, digital development, user experience, communication, and publishing, content strategy has emerged over the last few years as a discipline examining the purpose behind content (in all manifestations) and how it supports business, organizational, and user goals. While it originated in digital web design and user experience, content strategy now encompasses a much broader set of considerations and addresses content creation, distribution, and governance across multiple channels, especially the interplay among digital, social, and traditional media. Content strategy provides a holistic approach for unlocking the value behind content and for increasing its effectiveness in achieving business and organizational objectives. This course will present the fundamentals of content strategy and explore the discipline’s approaches, techniques, and tools that course participants can apply directly to the content situation in their own organization. It will draw parallels with – and highlight distinctions among – traditional communication strategy, publishing, and content strategy, and provide students with a framework to create a sustainable program grounded in meaningful, actionable content.
NECR 5270 is a three-credit summer practicum course designed to expose students to the role of social justice in conflict resolution analysis and practice, using New York City as our laboratory. Each summer, we will focus on a single, challenging question facing NYC at the intersection of conflict resolution and social justice, including how to respond to gang violence, how to address inequality, how to manage immigration and more. Within the chosen topic, we will explore the historical and theoretical intersections between the fields of social justice and conflict resolution, drawing on our conflict analysis and resolution skills to explore concrete policy options and community strategies. The course builds on the historical connection between conflict resolution and social justice, particularly as it emerged during the civil rights movement, where nonviolent resistance and negotiation were used to challenge systemic oppression. It also draws on the foundational work of Morton Deutsch at Columbia University, whose research on cooperation, competition, and social justice highlights how power imbalances can perpetuate conflict. Through critical dialogue, case study analysis, and practitioner-led workshops, students will develop culturally sensitive, sustainable, and community-centered.
We will focusing on needs-based strategies for addressing gang violence in New York City, while critically examining the role of bias in our work as conflict resolution scholars and practitioners. Students will analyze the social, economic, and psychological factors that drive individuals toward gang involvement, and learn about gang structures and the role of gang rivalries in driving crime. In addition to classroom learning, students will participate in fieldwork designed to expose them to experts, policymakers, activists, and practitioners working directly on issues related to gang violence in New York City. These immersive experiences will offer opportunities to engage with real-world challenges while critically reflecting on how biases—both personal and systemic—affect the implementation of violence prevention strategies and conflict resolution efforts. Fieldwork activities may include visits to local violence prevention programs, meetings with law enforcement officials focused on reducing bias in community engagement, and discussions with activists leading restorative justice initiatives. By integrating theoretical knowledge with practical experiences, students will be equipped to design innovative, needs
We would like to offer this course online as well as on campus.
Nonprofit organizations compete for scarce philanthropic and government funding and are expected to account for how these resources are utilized for the greater good. However, understanding how well nonprofit programs and services produce their desired outcomes can be a challenge. This course is designed to provide a broad – yet rigorous – overview of the knowledge and tools available to evaluate the effects of nonprofit and social impact programs and policies.
The primary objective of this course is to become familiar with the typical phases of an internal or external consulting project. The course is designed to provide a deep understanding of the typical challenges, opportunities, phases, and methods for conducting a successful consulting assignment for knowledge-based organizations. A typical strategic consulting assignment includes the following phases: organization assessment, sponsor/client relationship, gathering data, diagnosis issues, implementation, and measurement. Drawing on examples from a variety of organizations, this course will focus directly on strategies for building a successful knowledge service or product for organizations or institutions. We will provide knowledge of foundational frameworks and theories and the need for tailored approaches for different clients. Students will get hands-on experience diagnosing and proposing knowledge strategies for improving organizational effectiveness and competitiveness.
Successful consulting, whether internal or external, requires many capabilities and, at heart, is dependent on the client-consultant relationship. Students will be engaged in working on a simulated consulting assignment based on the current organization in which they work. Alternatively, students may discuss with the faculty to be assigned to work with a voluntary organization seeking student input. During the term, each student will complete individual and team assignments that build on the deliverables needed for an actual consulting assignment. By developing expertise in strategic leadership consulting, students will gain credibility, competence, and confidence in their ability to communicate, design, develop, and provide knowledge and change services to an organization and society. During the semester, students will learn strategies for building knowledge services, including the models, methods, processes, and social factors that promote successful change.
This course is designed for students who are or will be working in positions that require internal or external organizational consulting skills or in positions that require managing organizational change initiatives. No prerequisites.
With the explosion of communication channels, people are consuming content in a variety of forms across many devices. For marketers and agency partners, the challenge is how to select the channels and formats that will be most effective in engaging and motivating the audience to take the desired action, finding aperture moments to capture attention. Planning starts with the communication objective and translates that into channel strategies and tactics to meet the objective. In this class, you'll learn how to assess communication channels, including strengths and weaknesses and how they work together for best effect. You'll also be given the tools and frameworks necessary to create a communications channel plan, taking advantage of the paid, earned, and owned channel ecosystem. The class is designed for communication professionals who will contribute to and evaluate communication plans within their organization.
Review of the types of strategic risks, such as a flawed strategy, inability to execute the strategy, competitor risk, supply chain risk, governance risk, regulatory risk, M&A risk, international risk, etc. Includes case studies, research, and common mitigation techniques, such as strategic planning practices, management techniques, governance practices, supply-chain management, etc.
In this course, students will develop a working knowledge of the practical application of analysis and models used to make management decisions within an organization and a professional league. Basketball Analytics will explore the use of data and statistics to inform decision making in the National Basketball Association (NBA). Utilizing data made available through the NBA and other publicly available resources, students will learn to use analytics to ask and answer the right questions and provide best practice solutions through critical thinking.
As digital media increasingly drives the field of strategic communication, leading successful communication efforts also require a platform specific, evidence-based strategic approach. Leaders must know how to use a broad and rapidly changing mix of digital media platforms and tools to connect their message with the right audience. To that end, this course covers major topics in digital media and communication, such as content strategy, digital experience, channel planning, online reputation management, programmatic marketing, audience targeting, artificial intelligence and more. Through in-class lectures, discussion, case studies, guest speakers, group projects and individual writing assignments, students in this course will be introduced to strategic decision-making and communications planning for social media, mobile, digital advertising, search, email, digital out-of-home and interactive media (video, radio, podcasts). Students will also gain an in-depth understanding of how to integrate digital strategies and tactics with traditional communication efforts.
Review of the types of operational risks, such as technology risk (e.g., cyber-security), human resources risk, disasters, etc. Includes case studies, risk analysis frameworks and metrics, and common mitigation techniques, such as insurance, IT mitigation, business continuing planning, etc.
This course seeks to introduce students to the latest theory, research and practice of “Inclusive Leadership,” an evolving framework, for understanding the role of people leaders, teams, and individual contributors in cultivating diverse, equitable, and inclusion environments in companies and organizations. This interactive, intensive course will leverage insights, research, and experiences of leading scholars and practitioners in the fields of leadership, diversity, and inclusion. The content covered is grounded in inclusive leadership development, diversity management, team effectiveness, organization development, and intergroup relations. Students will learn hands-on strategies for fostering inclusion at every level of the organization, and how and why it matters on the overall culture and climate of the organization in a systematic way. Class discussions, assignments, and readings will pose questions such as: How to foster a culture of inclusion? How do we know when inclusion is actually taking place?
Students without a strong math background and experience with Excel will require significant additional time and effort to achieve the learning objectives and work through the course assignments.
This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python.
This course is a required prerequisite for registering for the following courses: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
In an era defined by unprecedented global challenges and opportunities, nonprofit advocacy serves as a powerful force for systemic reform and public innovation. This course immerses students in the intersection of theory and practice through an
advocacy practicum
approach—designed to equip future nonprofit leaders with the skills to influence policy, mobilize communities, and drive systemic change.
In the context of the ever evolving policy landscape of New York City and providing a global lens, this course offers an in-depth exploration of advocacy fundamentals within the nonprofit sector. Through real-world case studies, hands-on projects, and interactive fieldwork, students have the opportunity to examine how advocacy efforts in New York City—a hub of civic engagement—can expand broader policy frameworks and cross into international contexts.
Over the term, students will explore the theoretical foundations of advocacy, including social movement theory, policy influence, and public opinion formation. They will engage in stakeholder analysis, coalition-building, and the creation of advocacy strategies tailored to shifting political, economic, and social dynamics. Central to this course will be discussions on how traditional advocacy approaches are being redefined in response to growing inequalities and systemic challenges, emphasizing the need for adaptable, intersectional strategies to confront global disparities.
The framework emphasizes practical application: students will have the opportunity to develop and implement real advocacy plans, leveraging digital tools, media, and virtual organizing strategies to enhance their impact. Fieldwork, simulations, and collaborative projects will allow students to apply theoretical knowledge to tangible issues, empowering them to lead efforts that address pressing social challenges, whether locally in New York City or globally in areas such as international development and human rights.
Key topics include:
Crafting advocacy strategies that influence public policy in divided political environments;
Building and managing coalitions across stakeholders;
Engaging marginalized communities to ensure inclusive and equitable advocacy efforts;
Navigating the digital advocacy landscape to design impactful campaigns.
By the end of the course, students should be prepared to plan critically and act decisively in the fast-changing world of advocacy, with the tools, s
Equips students with the ability to adopt the programming culture typically present in the ERM/risk areas of most financial organizations. By studying Python, SQL, R, git, and AWS, students gain exposure to different syntaxes. Students apply these skills by coding up market risk and credit risk models. Students also gain familiarity with working in the cloud.
The environment affects human health and well-being, and current health-care technology can impact the environment. Thus, questions about how humans ought to relate both to their own environment and to other living beings on this planet fall squarely within the field of bioethics. While some observers may see bioethics as concerning only the health of human beings defined narrowly, bioethics in fact has many implications for the larger biosphere and vice versa.
This course discusses important issues at the nexus of bioethics and the environment, including climate change, ozone shield depletion, soil erosion, ocean pollution, diminishing biodiversity-all among the environmental factors with adverse consequences for the health of both human and non-human beings. Even the technologies employed in health-
care
have environmental impact harmful
to
health.
Among the challenges to be addressed: How can healthcare be made “green”? What do present generations “owe” to future generations? What is environmental justice in the relations between developed and developing societies? How should humans relate to the other inhabitants of this planet?
A survey of market, credit, liquidity, and systemic risk. Includes case studies, risk quantification methods, and common mitigation techniques using portfolio management, hedging, and derivatives. Also addresses traditional risk management practices at banking institutions.
This course provides a comprehensive overview of the grants process, with specific reference to the research, writing, and managing of a range of grant types. The grants process is considered within the context of an institution’s total fundraising strategy as well as its overall mission-based goals. The course covers the range of possible grant-giving institutions, including government, corporate, and foundation, as well as the various types of grants, such as challenge, and their respective considerations for the fundraiser and nonprofit institution. Emphasis is placed on developing competitive proposals, accurate budgets, and appropriate systems of administration.
Prerequisite: Fundraising Fundamentals: NOPM PS5370
Credit Risk Management requires business acumen, the monitoring of internal and external data, disciplined execution, and organizational intelligence. A solid understanding of this enables a credit risk manager to help organizations achieve their objectives. Through readings, case studies, and modeling projects, students learn how risk managers decide on credit risk management strategy applied throughout the client lifecycle.
Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.
Digital, social, and mobile media continue to heavily impact every aspect of sports business, often in profound and unanticipated ways, particularly in managing and optimizing revenue streams. All revenue line items are fully intertwined and integrated with each other, media, sponsorship, ticketing, hospitality, concessions and licensing, etc. Students of this course will learn to analyze and optimize the ecosystem of sports business including content rights, ticketing, sponsorship, merchandising, marketing, etc., as well as make business analytics decisions by leveraging business analytics software to run scenario analysis.
This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.
Prerequisites: GR5203; GR5204 &GR5205 and at least 4 approved electives This course is an elective course for students in the M.A. in Statistics program that counts towards the degree requirements. To receive a grade and academic credits for this course, students are expected to engage in approved off-campus internships that can be counted as an elective. Statistical Fieldwork should provide students an opportunity to apply their statistical skills and gain practical knowledge on how statistics can be applied to solve real-world challenges.
FUNDAMENTALS OF DATA ENGINEERING
COURSE OVERVIEW
The proposed graduate-level fieldwork course, Sustainability and Resilience of Tropical Coastal Ecosystems, is designed for students interested in learning more about the interconnections between tropical coastal ecosystems, focusing on the nexus between coral reef, seagrass, and mangrove systems. This course will discuss the importance and value of these vital tropical coastal ecosystems. We will specifically concentrate on the stewardship, conservation, and restoration of these systems in light of the multiple assaults associated with global climate change that impact these systems and put them at risk of complete collapse. This includes reviewing the most critical issues in tropical marine biodiversity, resource sustainability, ecosystem resilience, and global change biology. Three (3) Lecture
ACADEMIC GOALS
This course offers students a hands-on understanding of tropical coastal ecosystem management and sustainability challenges. Participants will engage with local experts and communities, fostering skills in field research and sustainability practices.
Technology’s complexity becomes intricately detailed and beautiful when viewed as a system —its components, though diverse, work in symbiosis underpinned by shared communication protocols and governance structures. This system enables machines to operate with increasingly minimal human intervention.
This survey course offers a broad and holistic exploration of technology as an integrated system, emphasizing the seamless integration that characterizes modern technological frameworks. Students will delve into the core components that constitute digital environments—such as the Internet, networks, hardware, and software—and understand how these elements collectively drive and shape today’s IT infrastructure.
This course provides the tools to measure and manage market risk in the context of large financial institutions. The volume and complexity of the data itself, at large institutions, makes it a challenge to generate actionable information. We will take on this challenge to master the path from data to decisions.
We cover the essential inputs to the engines of financial risk management: VaR, Expected Exposure, Potential Exposure, Expected Shortfall, backtesting, and stress testing as they apply to asset management and trading. We explore the strengths and weaknesses of these different metrics and the tradeoffs between them. We also cover how regulatory frameworks impact both the details and the strategy of building these engines. Lastly, we cover counterparty-credit methodologies, mainly as they apply to Trading Book risk.
TBA
Special Topics in Leadership, Ethics and Drug Development
In Ethical leadership decisions regarding drug development, regulation and delivery is a multi-dimensional process with varied stakeholders, each having their own objectives. This course will provide students with a look at how leaders in health care faced with real-life decisions utilized ethics to determine an outcome. The course is designed as a one week intensive in-person course, with two guest lecturers per day from industry, government, funding organizations, HCPs and patient organizations to help students gain a greater understanding of all stakeholders involved in health care decision making.
Through posted and classroom discussion, speakers will address and students will be challenged to consider the following questions:
Who are the relevant stakeholders? What are their preferences and do they conflict? If so, how is this conflict best resolved?
How do we apply a bioethical framework – the principles of beneficence, nonmaleficence, autonomy and justice -- to this problem?
When understanding how a new medicine is developed, how are the long and short term risks, large and small, weighed and evaluated against potential benefits?
Does industry consider justice– such as access and affordability – when deciding what products to develop?
What would you advise if you were an ethics consultant?
What do you think about the actions taken to address the issue?
How are ethical questions handled within organizations? Are consultants used formally or informally to ensure outside perspectives?
This course is for anyone with an interest in learning from leaders in the field and exploring real-life cases of bioethical decisions that impact all of us.
Using Blockchain, decisions can be made without relying on a single centralized authority, allowing for greater transparency and trust between participants. By using smart contracts and distributed ledgers, users can easily create, modify, and manage agreements between stakeholders, ensuring that all parties have access to the same information and can make informed decisions. As a result, Blockchain technology reduces the risks associated with decision-making, and improves efficiency and accuracy. This course first examines the risks and rewards of implementing Blockchain at large organizations engaging in decentralized decision-making processes. The course then explores the Blockchain as a tool for risk management.
Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.
This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al. Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.
The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.
The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.
The field of Artificial Intelligence (AI) has rapidly evolved to become a transformative global force across various industries, with particular significance for strategic communication. This elective course provides a comprehensive exploration of AI’s foundations, its current landscape, and its profound impact on media, journalism, public relations, and marketing communications. The course also addresses critical issues surrounding AI such as ethics, policy, and risk management associated with adoption, while offering practical insights into implementing common AI tools and developing essential AI skills for communication professionals.
Throughout history, societies have discovered resources, designed and developed them into textiles,
tools and structures, and bartered and exchanged these goods based on their respective values.
Economies emerged, driven by each society’s needs and limited by the resources and technology
available to them. Over the last two centuries, global development accelerated due in large part to the
overextraction and use of finite resources, whether for energy or materials, and supported by vast
technological advancements. However, this economic model did not account for the long-term impacts of
the disposal or depletion of these finite resources and instead, carried on unreservedly in a “take-make’-
waste” manner, otherwise known as a linear economy. Despite a more profound understanding of our
planet’s available resources, the environmental impact of disposal and depletion, and the technological
advancements of the last several decades, the economic heritage of the last two centuries persists today;
which begs the question: what alternatives are there to a linear economy?
The premise of this course is that through systems-thinking, interdisciplinary solutions for an alternative
economic future are available to us. By looking at resources’ potential, we can shape alternative methods
of procurement, design, application, and create new market demands that aim to keep materials,
products and components in rotation at their highest utility and value. This elective course will delve into
both the theory of a circular economy - which would be a state of complete systemic regeneration and
restoration as well as an optimized use of resources and zero waste - and the practical applications
required in order to achieve this economic model. Achieving perfect circularity represents potentially
transformative systemic change and requires a fundamental re-think of many of our current economic
structures, systems and processes.
This is a full-semester elective course which is designed to create awareness among sustainability
leaders that those structures, systems and processes which exist today are not those which will carry us
(as rapidly as we need) into a more sustaining future. The class will be comprised of a series of lectures,
supported by readings and case-studies on business models, design thinking and materi
In this course, students will comprehend the fundamental principles of these new technologies and how to strategically apply them to drive innovation, create efficiencies, and generate new opportunities in a rapidly evolving digital landscape. It offers students the opportunity to understand the factors fueling the adoption of these technologies including the exponential growth of data, the decline in trust post-financial crisis, the desire for data ownership, growing regulatory transparency requirements, the need for greater efficiencies, and the required protection of sensitive data. The evolution goes beyond the implementation of new processes, decentralized business models and technologies. The convergence of new technologies and interdisciplinary innovation drive the requirement for changes in regulatory processes, governance, and ethics.
This course is designed for graduate students who aspire to lead in the era of digital transformation. It is ideal for those who seek to understand the strategic applications of blockchain, AI, and Web 3.0 technologies to drive innovation within their organizations. Whether planning to advance in a career in technology management or a professional in data and knowledge-driven industries, this course will enable the acquisition of knowledge and skills necessary to navigate and leverage the opportunities presented by the Fourth Industrial Revolution.
Market research is the way that companies identify, understand and develop the target market for their products. It is an important component of business strategy, and it draws on the research and analytics skills you have learned thus far in the program. Often market research consists of generating your own data, through quantitative and qualitative methodologies, in pursuit of the market research question.
This course is an elective that will expand on quantitative and qualitative methodologies that have been introduced previously, provide an introduction to other methodologies that are more specific to market research, and provide hands-on practice in defining a market research plan from start to finish. Students will also learn about particular types of market research studies and when and how they should be deployed. Students will generate and test their own research instruments. Through the use of case studies and simulations, students will learn how market research fits into an overarching marketing plan for a company.
This course is designed for students who have completed the Research Design and Strategy and Analytics core courses, and who are exploring how research fits into product marketing. You will leave this class understanding the essential aspects of market research, when and how they should be deployed, and the role you could play in small and large companies directing and executing on market research opportunities.
Gender and Communication in the Workplace offers professionals across sectors and industries the knowledge and skills needed to identify the social and linguistic practices enacted at work, and the opportunity to advance the interests of those who run up against barriers to advancement as a result of prejudice and stereotyping.
In recent years, data analytics and artificial intelligence (AI) have become essential to business intelligence and informed decision making. But to realize the impact of analytics and AI, effective visual communication of data insights via user interfaces (UI), such as web pages and app dashboards, is equally critical. Building effective UIs requires mastering the user experience (UX) design principles and certain front-end development technologies. Furthermore, the recent rise of multimodal Generative AI offers unprecedented opportunities for simplifying, automating, and scaling UX/UI development.
This course provides a comprehensive understanding of UX design principles and best practices for developing UIs while emphasizing ethical considerations and inclusivity. Students will learn to create intuitive and visually engaging websites and dashboards that leverage AI-generated insights, also considering data privacy, diversity, and accessibility. Key topics include the design, implementation, and evaluation of UIs, with hands-on experience in web development technologies like HTML, CSS, and JavaScript, as well as related cloud services. Students will apply state-of-the-art AI technologies to create intelligent and interactive UIs, all while critically assessing data sources and AI models for potential biases.
The course content comprises a blend of conceptual learning and practice assignments. Weekly lectures and reading materials will cover the fundamentals of data visualization and user experience designs. Students will put the gained knowledge into practice through individual design and coding assignments and a group term project.
Artificial intelligence has become widely available. In some cases, regulations apply already. In other cases, those working in law, public policy, and ethics continue to debate whether and how to regulate use, and which products should require pre-market vetting by regulators. Many principles and guidelines govern the AI space, providing a strong “soft law” framework for state and institutional governance. Some focus on consumer privacy, fairness, protecting workers, and human rights. Students will develop a core competency in AI and ethics with an emphasis on problem-solving, critical thinking, and analysis of AI tools and products related to health, health care, and the social determinants of health.
Computer scientists, coders, and engineers best understand the development and use of machine learning, but often lack training in ethics, law, and public policy. Ethicists with an understanding of AI and machine learning can help steer AI use in safe and productive ways.
The course is primarily designed for bioethics master’s students; no formal background in artificial intelligence or machine learning is assumed. Some knowledge of ethics, ethical principles, and foundational philosophy will be presumed, yet students can request additional resources if they have not had the requisite coursework.
The first part of the course (the first 6 modules) explores the core insurance products one needs to understand within the Wealth Management and Family Office ecosystem. Students will analyze and evaluate risk exposure types for which a client might want insurance, including liability, automobile, homeowners, health, disability, long-term care, and life risks. Students will also learn how to conduct insurance needs analysis and select appropriate insurance policies and companies for their clients.
In the second part of the course, students will focus on mastery of Client Communications. In the wealth management industry, where technical expertise is increasingly commoditized, effective communication is the key differentiator for building trust and sustaining a successful practice. This intensive segment positions communication not as a mere soft skill, but as the central strategic imperative for building a thriving advisory practice. Students will master the science and art of communication in their dual roles: as advisors to clients and as operators of a practice. The modules consider the full spectrum of strategic communication: from building and maintaining robust client relationships and navigating challenging conversations, to architecting a powerful personal brand and digital presence, to designing tech-enabled, scalable outreach systems.
Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.
Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.