This course provides an introduction to computer-based models for decision-making. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing. Applications will include advertising planning, revenue management, asset-liability management, environmental policy modeling, portfolio optimization, and corporate risk management, among others. The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces. Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked “experts only.” The rise of personal computers, friendly interfaces (such as spreadsheets), and large databases has made modeling far more accessible to managers. Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.
Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future.
Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries, data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices.
This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.
Often, our progress toward the remediation of persistently accumulating human damage to our collective home, the biosphere, is attributed to large-scale entities having a rather amorphous quality. Such are the industrial revolution, the global north, capitalism, colonialism, and countless preoccupied, habituated or denialist components of the human population. Yet, the dynamics of all types of leadership and management, whether in public, civic or private organizations, frequently push back on the progress desired, in more specific ways. These dynamics are so characteristic that climate ethics, an offshoot of environmental ethics, may seem to be cornered or futile. However, looking more closely at the essential functions of leadership and management, we may find the possibilities of change for the better: change that reverses climate change, or more widely, unsustainability. Conversely, we may find inadequate possibilities for such critical change.
In this course, leadership and management are explored to determine their dynamics are and how these afflict our biospheric home—including virtually all life. The course is divided into 4 sections, the 1st is two weeks long, the 2nd and 3rd are each four weeks long, and the 4th is two weeks long. The topic of the 1st section is climate ethics, their content and context: how they work and how they are tripped by surrounding problematic discourses. The topic of the 2nd section is leadership: at its becomingly best, and how it demeans itself with incapability, irresponsibility and corruptibility. The topic of the 3rd section is management: at its operationally best, and how it degrades itself with dysfunctional hierarchy, captive systematization, and offensive behavior. The topic of the 4th section reverts to climate ethics: the necessity of accruing and maintaining value—of the right kind, and the necessity of creating and applying guidance—of the right kind. It is not only because the impacts of problematic ways of doing things are harmful to the biosphere but also because those impacts have others, which are increasingly desperate, rancorous and volatile.
The signing of the Paris Treaty in 2015 signaled a recognition by nearly all the world’s governments of the need to reduce greenhouse gas emissions to avoid the worst effects of climate change. Meanwhile, the changing climate is already having negative impacts on business assets and operations around the world. Despite evidence that climate change poses a threat to business as usual for many companies, the financial sector has yet to form a consistent view on how to value risks and opportunities associated with climate change. There are multiple reasons for this. Climate-related disclosures vary widely from company to company, as do the ways that climate risks affect different sectors and geographies. The policy landscape is varied and fast changing. Unfortunately, many financial analysts lack the technical knowledge to assess corporate disclosures and actions pertaining to climate.
This 6-week course provides a practical overview of how analysts in the financial sector can assess corporate climate risk and opportunity among publicly traded corporates, using public data. The class will begin with the concept of how business leaders and financial analysts understand climate risk – alongside other concepts such as decarbonization, transition planning and climate impacts from a policy perspective.
We will then move to focus on industry-specific analysis in four sectors – 1) oil and gas, 2) consumer staples, 3) mining, and 4) financial services. In each, we will survey the tools that investors have to assess climate risk and opportunity, taking into account policy, voluntary frameworks, and technology. For each of these elements, we will review both how these tools can assist with climate risk analysis as well as their limitations and inconsistencies. We will consider ways the analyst can work with relevant data and reconcile public corporate claims with evidence through corporate disclosures.
The application of Machine Learning (ML) to climate science and environmental sustainability has become increasingly popular in recent years, promising to revolutionize how we analyze and address critical environmental challenges. This course will introduce students to the fundamental concepts and methods of ML, emphasizing their practical applications to climate science and environmental sustainability efforts.
Students will gain both theoretical knowledge and practical skills through hands-on experience with machine learning methods and coding. The course is designed to provide familiarity with the design, implementation, and evaluation of machine learning models towards addressing specific problems in climate science and sustainability. By working with real-world datasets, students will develop a deeper understanding of both the capabilities and limitations of ML tools in climate research and for evaluating environmental sustainability solutions. This course will cover essential topics such as data preprocessing, model selection, evaluation metrics, and the ethical implications of ML in climate science.
As ML tools become increasingly important to these application areas, this course will be invaluable for those looking to interact with scientists and engineers, manage scientific projects, and develop policies in the realm of climate science and sustainability.
Computing and data analysis have become an indispensable tool for researchers and industry professionals working in virtually any aspect of the modern world. This course will introduce students to the fundamental concepts and methods that are broadly applicable to any data science project, with a thematic focus on climate and environmental data. This includes an introduction to Unix, programming, common data formats, analysis, and visualization. The primary focus will be to teach students the foundations of Python in a climate data science context, which is of the most widely used and accessible programming languages today. Students will also be introduced to cloud computing, which will be the primary tool for in class assignments and projects.
The course is designed to be accessible for any students with an interest in being able to ask and answer questions using data. This course will also be invaluable for those looking to interact with scientists and engineers, manage scientific projects, and develop policies in the realm of climate science and sustainability.
Negotiation today requires navigating complexity, interpreting incomplete data, managing uncertainty, and fostering trust in environments where clarity is scarce and stakes are high. Practitioners must address information gaps and asymmetry, regulatory pressures, and power dynamics while aligning diverse interests and shaping agreements that endure.
This course prepares students with skills to negotiate effectively across healthcare, technology, and business—domains where outcomes hinge on data limitations, contractual nuance, and shifting stakeholder priorities. Trust and credibility are emphasized as essential currencies, especially when agreements depend on long-term relationships, compliance, and cross-functional collaboration.
Guest speakers from multiple industries will share practical insights into negotiating across roles and power structures. Their perspectives will underscore the value of preparation, trust-building, and adaptive strategies for navigating uncertainty in dynamic environments.
Students will:
Build and apply negotiation frameworks in complex, multiparty environments.
Learn how to extract meaning from structured (quantitative) and unstructured (qualitative) data.
Develop data-informed narratives to guide decision-making and stakeholder alignment.
Practice identifying cognitive bias, ethical tension, and strategic leverage points.
Engage in simulations and case studies grounded in real-world contracting and influence challenges.
Note for NECR Students
: As an elective offered by the Negotiation and Conflict Resolution (NECR) program, this course builds on students’ conflict negotiation skills (PS5105) and their application in healthcare. Students will further engage with concepts on the influences and cultural understandings of conflict parties, and conflict analysis (PS5124 and 6050). The aforementioned courses will contribute to the understanding of this course’s content and should, in general, be taken before this elective.
Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.
Artificial intelligence (AI) and generative AI – like ChatGPT, MidJourney, and Gemini – are poised to change the world for everyone. It is critical that students understand (and utilize) this new technology at several levels. In this class – through readings and a dozen hands-on activities – students will come to deeply understand AI. Specifically, students will construct (using Python) some of the basic building-blocks of AI, like machine learning (like recommendation systems), natural language processing (like word embeddings) and chatbots. They will test out AI’s capabilities and refine prompts in real-world settings, whether in art, video, writing or Internet-of-Things. They will learn about how generative AI fits into the history of technology adoption and the diffusion of innovation, answering questions like: Will AI be able to replace whole jobs? And if so, when? They will use the lenses of psychology and economics to explore the impact of AI in people’s lives, including in the context of algorithmic fairness, regulation and intellectual property. They will be pushed to take human creativity in new directions, augmented by AI’s “weirdness.” Lastly, students will be pushed to further develop their own uniquely-human skills – like in critical thinking and empathy – in response to the power of generative AI to mimic humans. As best-selling author Seth Stephen-Davidowitz has recently (Dec. 2023) written, “So far, my newest book has higher ratings than either of my previous two books -- even though it was written in 1/36th of the time, thanks to AI. AI is wild!" By the end of this class, students will feel empowered technically and philosophically to handle all new generative AI developments. There are no specific prerequisites for this class.
This course explores the impact of climate change on global health equity, with physical, mental, and social dimensions of health and well-being. With a global perspective and thematic focus on social determinants of health, health equity and climate justice, students will learn about climate-related vulnerabilities of different population groups with respect to age, gender, education, race/ethnicity, socioeconomic status, migration/legal status, chronic health conditions, and disability. The course will specifically focus on community participatory and co-design approaches aiming to decrease the negative health impacts of climate change and to promote health equity by involving populations in conditions of vulnerability in research, advocacy, policy, and practice.
The course will include interactive theoretical discussions, small group work, role-plays, and simulations, as well as student-led seminars, and talks by guest speakers including members of communities with vulnerabilities. During the course, students will work in small groups to develop project proposals on research, advocacy, training or practice to decrease climate-related global health inequities with evidence-based approaches that include community engagement, community empowerment, health impact assessment, and/or intersectoral collaboration. The course will aim to improve students’ knowledge and skills to differentiate between whole population vs. target population approaches, to reverse stigma and discrimination towards certain groups and to advocate for global health equity, by using community participatory, interdisciplinary and intersectoral approaches.
Better climate communications have become a priority across sectors as the impacts of climate change continue to shift daily lives for individuals, communities, and organizations. Whether it be exploring more effective ways to communicate science, navigating difficult conversations stemming from different viewpoints, or connecting more meaningfully with individuals and groups in a changing world, at the center of climate communication is the convergence of science and the dynamics of human behavior. This course invites participants to explore how to apply research from psychology, adult learning theory, cognitive science, and social neuroscience to improve climate change communications and support meaningful change in their specific contexts.
This course is designed for students who are, or will be, tasked with communicating climate change–related information in a range of settings, from professional and policy environments to community engagement, education, and everyday encounters. Every context and audience is unique; for that reason, the course emphasizes tailoring climate communication strategies to specific audiences, institutional settings, and decision-making environments. Using an applied, action-learning approach, the course follows a structured developmental arc in which students move from analyzing climate communication challenges, to modeling cognitive and systemic dynamics, to developing and refining a practicum proposal, and ultimately to designing a final applied climate communication strategy.
The course combines short lectures, guest speakers from the field, and applied, in-class activities focused on mental modeling, systems thinking, and decision-making under uncertainty. Students will complete a practicum project that allows them to generate localized, evidence-informed communication strategies addressing an ongoing or emerging climate communication challenge relevant to their work, research, or community context.
This course examines how data are produced, governed, and used in climate and social research, and how these processes shape power, equity, and decision-making. Students engage with Critical Data Studies and data justice frameworks to interrogate Earth observation, modeled estimates, and community-generated data commonly used in climate and social research contexts. A central focus of the course is the tension between hyper-local, participatory data practices often associated with data justice and co-production, and the scale, automation, and volume of data produced in the AI era. The course examines when scaling data systems is necessary to address compounding climate, affordability, and basic-needs challenges, and when that same scale risks reproducing inequities or weakening accountability.
This course provides an interdisciplinary introduction to the public health dimensions of climate change, with a focus on the mechanisms linking climate-related hazards to health outcomes, the methods used to study these relationships, and the policy and intervention frameworks that shape responses. Students will examine major climate exposures—including hazardous heat stress, floods, tropical cyclones, air pollution, and other environmental stressors—and their impacts on population health, with particular attention to vulnerable communities, local and global inequities, and environmental justice.
The course emphasizes core epidemiologic and attribution methods used in climate–health research, alongside evaluation of public health adaptation and mitigation strategies. Students will also explore the role of global governance, international institutions, and financing mechanisms in addressing climate-related health risks. Through lectures, applied examples, and student-led presentations, the course fosters systems thinking and critical analysis, equipping students from diverse disciplinary backgrounds to assess evidence, communicate uncertainty, and engage with real-world climate and health decision-making.
Demand for climate adaptation and resilience (A&R) finance is growing rapidly among the global investment community. This intensive course explores A&R from both theoretical and applied perspectives, examining how resilience thinking intersects with financial decision-making under deep uncertainty. We begin with foundational literature on resilience theory and socio-ecological systems. The course then examines how adaptation and resilience discourse is manifested within the broader financial system. Through case studies and guest lectures from industry leaders, students will explore specific A&R financial instruments and investment structures. The course culminates in group presentations applying learned frameworks to real-world A&R investment cases.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
The Wealth Management Student Community Center helps facilitate remote pre-residency requirements and preparatory activities to preserve the limited in-person time we have during the residency for other activities. Given that we are a remote program, this is the most effective way to introduce, assign, inform and track new student activity prior to starting the core courses. The use of a dedicated site helps them practice using the LMS, in addition to acclimating to Columbia, the faculty and the resources. The activities in which the students participate for the residency are critical to their success in the 16-months of remote learning in which they engage. Recordings and other materials are provided to students in continuity with completed activities and the site is also used as a general communications tool with the students outside of the dedicated Canvas courses.
The decline of nature and biodiversity is creating systemic risks for economies, industries, and financial markets, all of which fundamentally depend on healthy ecosystems. At the same time, the imperative to finance conservation, restoration, and biodiversity protection raises complex questions about the scale of capital required, how it can be mobilized, and what role financial markets should play. These two agendas—managing nature-related financial risks and mobilizing finance for nature outcomes—are often conflated, undermining both effective risk mitigation and adequate nature finance.
This course rigorously distinguishes between these dimensions. Students will learn how nature-related risks propagate through firms, sovereigns, supply chains, and financial institutions, and how these risks are measured, priced, and disclosed. Separately, the course examines financial instruments and market structures designed to finance biodiversity protection and ecosystem restoration. Students will explore biodiversity credits, nature-linked bonds, rhino bonds, debt-for-nature swaps, structured conservation products, and nature-based solutions (NbS) alongside foundational scientific concepts, global biodiversity governance, political economy, and emerging disclosure regimes such as TNFD.
The course culminates in a final project integrating ecological understanding, measurement frameworks, sovereign and firm pricing, financial engineering, and policy analysis.
Organizations have adopted formal approaches, such as establishing grievance committees and ombudsman's offices, to mediate conflicts in the workplace setting and, on occasion, hire outside, independent mediators to handle escalated conflicts and public-facing disputes. Attempts to mediate conflict, though, are much more widespread in organizations than these formal approaches would suggest and are often undertaken by professionals from a wide variety of disciplines who have no formal training in mediation. Increasingly, such professionals are tasked to manage conflicts — whether their field is finance, marketing, social media or human resources — and are evaluated in performance reviews on their ability to perform this task. Professionals today must be prepared to acquire the knowledge and skills of a mediator to meet the expectations of the organization.
With that end in mind, this course is designed for professionals who find themselves frequently having to intervene in conflicts between or among others. Although these professionals may choose to become full-time mediators, they are more likely to use mediation principles and techniques as additional tools to help them within their chosen fields of work, be it in public policy, social media, human resources, international development, peace-building or law. This course will aid professionals who wish to become skilled conflict practitioners, constructively managing conflict between or among people or groups with whom they engage.
This course is an elective in the NECR Program. It is open, space permitting, to cross-registrants from other fields and Columbia University schools and programs. There is no prerequisite knowledge or coursework to register for the course; however, if you have not taken a course in negotiation or studied that field, please contact the instructor. The course is delivered in-person on campus; participation by Zoom is not permitted. The course is semi-intensive and delivered over a partial semester.
Sustainable debt markets are reshaping global finance as sovereigns, corporations, municipali?ties, and multilateral institutions deploy green, social, sustainability, sustainability-linked, and transition-labeled instruments to address climate and development challenges. This course exam?ines how sustainability is embedded into debt structures; the market principles, taxonomies, and regulatory frameworks that govern these instruments; and the opportunities and limitations they present.
The course is designed for students who want a technical, practice-facing understanding of instru?ment design, pricing and investor demand, external review processes, disclosure and reporting, and integrity risks including additionality, credibility, transition integrity, and greenwashing. Students build fluency in issuer frameworks and transaction documentation, learn how to evaluate KPI/SPT ambition and verifiability, and develop the ability to critique claims made in real issuances.
Through a structured case-study approach, students will practice analyzing transactions across corporate, sovereign, municipal, and structured-finance settings. The course culminates in a final analyst report assessing a real instrument end-to-end: structure, pricing context, credibility, and decision-relevant implications for investors, issuers, and policymakers.
This course provides an opportunity for students in the Economics Master of Arts Program to engage in off-campus internships for academic credit that will count towards their requirements for the degree. The internships will facilitate the application of economic skills that students have developed in the program and prepare them for future work in the field.
TBA
Investing in professional growth is essential to building strong, adaptive, and innovative nonprofit organizations. Columbia University's M.S. in Nonprofit Management Professional Development Series is an online, bi-weekly, zero-credit seminar class that helps students stay current with best practices, navigate complex challenges, improve organizational sustainability, and enhance their impact in the communities they serve. Students will increase their networks and connect with potential mentors and employers while hearing how they can leverage the M.S. in Nonprofit Management degree in their own careers.
The course, which is a co-registration requirement for NOPM students taking Capstone, is open to all NOPM students and for cross-registration.
In
Activating Employees: Transformation, Culture, and Growth
, we examine both
tried-and-true and emergent methods for building durable, strategic programs to
inform, engage, enable and activate entire companies in alignment with business
strategy, company values, and purpose.
This course teaches students how to get through to any audience for any reason. Technology leaders, more than in any other industry, must be equally comfortable as public speakers for vastly different audiences, from software developers and sales teams to politicians and the general public. Through exercises in speaker and audience analysis, studies in public speaking techniques, and an exploration of behavioral psychology principles influencing audience receptivity, students will gain tangible skills to increase their impact as public speakers. Specifically, this course will equip students to: 1. identify how impactful speakers prepare for, present to, and pivot for maximum impact according to audience type, size, and receptivity; 2. learn strategies on how to “read the room” and adapt both verbal and nonverbal communication techniques in real-time; and 3. gain hands-on experience in public speaking through exercises designed to develop public speaking skills across a range of tech-sector specific experiences, circumstances, audiences.
Law is infused into every part of business, especially through the lens of technology. Fluency in business and legal frameworks, risk/benefit principles, from idea to exit, is essential for any innovation leader. This course offers a deep dive into the critical phases of technology companies and their journey through growth, scaling, and eventual market exit. Topics include capital formation, contracts, intellectual property, human capital, and business transactions.
TBD
The field of management consulting is dedicated to delivering increased value to client organizations by effectively diagnosing complex challenges and crafting tailored, strategic solutions that drive meaningful change, ultimately improving organizational performance, agility, and long-term success. Moreover, mastering consulting skills strengthens leadership and stakeholder management, enabling consultants to build trust and foster collaboration that maximizes client impact in a rapidly evolving business landscape.
This course addresses a critical need by providing students with a comprehensive and integrated approach to mastering the essential skills required of advisors and consultants. Recognizing the complexities inherent in these roles, the program immerses students in realistic, end-to-end client scenarios from initial sales engagements through to project execution, equipping them to navigate complex and challenging situations with confidence.
Given the multidisciplinary nature of management consulting, this course was developed through a unique partnership between the Technology Management and Human Capital Management graduate programs at Columbia University School of Professional Studies. Designed by senior consulting partners from top-tier firms, and taught by deeply experienced practitioners, this course offers a comprehensive toolkit that students can apply in both consulting and industry roles. It uniquely integrates practical consulting tools with leadership development to prepare students for the multifaceted challenges of the ‘trusted advisor’ role to clients and leaders.
This course is an introduction to how sustainability issues (commonly referred to as ESG: Environmental, Social, and Governance) have become financially material to the global equity, credit, underwriting, insurance, risk management, venture capital, and asset management capital markets. These issues have a direct impact on risk exposure and the quality of public, private and government debt/equity investments. The course will devote significant time to fundamental principles of finance including valuation, financial statements, time-value of money, capital markets, and asset management. Students will develop the knowledge and skills necessary to effectively communicate sustainability/ ESG issues to a financial professional.
This course gives students a foundation in how sustainability issues affect the various sectors of finance and an understanding of how integrating sustainability principles and practices into finance can be used to make a business become more efficient, effective, reduce risks, create opportunities and provide competitive advantage, for both companies and financial firms alike. The course will provide a framework for how sustainable investing has subcategories for socially responsible investing (SRI), ESG integration, ESG thematics, and Impact Investing. The alignment and tradeoffs of sustainability issues and their impact on management and investors will also be addressed.
In this course, students will explore the full product lifecycle from discovery and user research to agile execution, stakeholder engagement, and go-to-market planning. But beyond the tools and tactics, this course invites students to step into the mindset of a product leader: someone who doesn’t just manage ideas, but brings them to life with courage, conviction, and collaboration. Whether you’re refining an existing solution, launching something new, or championing someone else’s vision, you’ll learn how to lead from wherever you are navigating complexity, earning influence without authority, and making impactful decisions even when the destination is unclear.
Existing energy sources and the infrastructures that deliver them to users around the world are undergoing a period of rapid change. Limits to growth, rapidly fluctuating raw material prices, and the emergence of new technology options all contribute to heightened risk and opportunity in the energy sector. The purpose of this course is to establish a core energy skill set for energy students and prepare them for more advanced energy courses by providing a basic language and toolset for understanding energy issues.
Using theoretical and practical understanding of the process by which energy technologies are developed, financed, and deployed, this course seeks to highlight the root drivers for change in the energy industry, the technologies that are emerging, and the factors that will determine success in their commercialization. Understanding these market dynamics also informs good policy design and implementation to meet a broad range of social welfare goals.
Upon completing the course, students should not only understand the nature of conventional and emerging energy generation and delivery, but also the tools for determining potential winners and losers and the innovative pathways to drive their further deployment.
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 course introduces students to the foundational principles of object-oriented programming (OOP) using Java, a robust, platform-independent language widely used in industry for building scalable and secure applications. Through hands-on experience and instruction, students will explore core OOP concepts, including abstraction,
encapsulation, inheritance, and polymorphism, while gaining practical experience with modular code design and reusability. Java’s extensive libraries and frameworks will be introduced to demonstrate its applications to the real-world use cases.
This course is designed for students without prior programming experience in programming. While not required, familiarity with based computing concepts (variables, loops, functions,) is recommended.
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.
This course will develop the knowledge and skills necessary for conducting comprehensive and focused health assessments for individuals with emphasis placed on interviewing skills, health histories, and physical and psychosocial findings in the well person. Communication and record keeping skills are developed.
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.