Required Courses

Note: This course is taught in hybrid format. The course starts with a multi-day, on-campus Residency in late Aug./early Sept. and then continues online (synchronous). Please refer to the Important Dates section of the Curriculum & Courses page for upcoming Residency dates.

Knowledge-driven organizations increasingly dominate the economy. What are their attributes? What vision and strategy guides their development? How are they designed? What are the jobs necessary for this new workplace? This course has been designed to give students a grounding that will be important for their future working career. It will focus on how the global economy and all its subsequent ramifications has evolved from a predominantly industrial base to one based on knowledge.

The Foundations course will begin by giving students a historical perspective as to how the "knowledge" economy specifically came about. We will be using historical and economic data and models which offer a clear understanding as to how the global economy and organizations evolved into their current state-where value is produced by knowledge and ideas significantly more than the earlier industrial processes and operations. 

The course will then present detailed and comprehensive treatments of how societies, organizations and individual lives have been changed due to this great shift in the factors of production. The course will also focus on how networks, communities and practices work and have evolved to focus more on knowledge production and transfer than on the more industrial factors of production such as land, labor and capital. In addition, the course will examine the critical role of intangibles such as culture, trust and missions in the workings of organizations in this new era. Insights from anthropology, psychology and sociology as well as economics will be incorporated into the course curriculum.

A complex and comprehensive case study on NASA and their knowledge operations will be one of the key learning tools for this course as it proceeds.

LOGISTICS: Open to IKNS only. No prerequisites. Taken by all IKNS students in their first semester. 

This course is an introduction to AI, geared specifically at knowledge managers and leaders and project managers in knowledge-driven organizations. As such, the target audience are translators of AI in organizations, rather than the AI practitioners themselves. The course will cover the basic applications of AI, how they work, when they are appropriate, and include the issues of bias and access. Class content will be taught around case studies from prototypically knowledge-driven organizations such as Google, Stitchfix, and Amazon.

This course is offered both in an online (synchronous) format as well as in an in-person format. 

OVERVIEW

Leading Collaboration explores how individuals, teams, and organizations can work across differences, boundaries, and systems to achieve shared goals. In a world where knowledge is increasingly distributed across teams, organizations, and global networks, the ability to lead collaboration is essential for innovation, productivity, and meaningful change. The course’s central learning objective is to help students understand the conditions that enable effective collaboration and develop the practical skills and self-awareness to lead it.

COURSE CONTENT

Drawing on anthropology, neuroscience, sociology, and psychology, the course examines collaboration as a discipline in its own right. Students explore the roots of collaboration in human history and social learning, as well as the barriers that can undermine it, including silos, power dynamics, mistrust, unclear goals, competing incentives, and ineffective communication.

The course then turns to the practice of leading collaboration: dialogue and facilitation; psychological safety; group decision-making; organizational culture; management and project structures; change leadership; knowledge networks; strategic alliances; technology-enabled collaboration; and collaboration across cultures and global systems. Students will consider collaboration through the perspectives of both leaders and followers, with attention to how influence, accountability, and shared ownership shape collective action.

Learning takes place through interactive discussion, short presentations, case-based analysis, collaborative problem-solving exercises, and structured reflection. Students complete a group collaborative problem-solving exercise, an independent literature research project, and an ongoing reflective journal. These assignments build theoretical fluency while helping students apply course concepts to their own organizations, communities, and circles of influence.

LOGISTICS

This graduate-level required course is designed for students in Information & Knowledge Strategy but is open to other students at Columbia University. The course is offered in two modalities: an in-person, campus-based section and a synchronous online section, each taught by a different instructor. Both sections meet weekly on their regularly scheduled day and time. There are no prerequisites, and the course is open to all graduate students.

OVERVIEW: Business analytics (BA), in essence, is the discipline of using data analysis – ranging from simple descriptive statistics to advanced, AI-based predictions – to illuminate all quantitative aspects relevant to a specific organization, from its own performance, to the behavior of its customers, and challenges from competitors. This course covers the entire value chain of a BA process, including formulating the question, collecting and managing the relevant data, analyzing said data to answer the question, and finally effectively communicating the results (e.g., data visualization) to stakeholders. While the course teaches some hands-on data analysis/statistics (e.g., database structures, conditional averages, correlations, confidence intervals), the emphasis of the course is on educating users and managers of BA, and as such includes stakeholder engagement and implementation planning.

CONTENT: Following an introduction to the history of BA, weekly lectures and associated assignments (some spreadsheet-based, others in essay format) teach all above elements of the BA value chain one by one. Accompanying readings cover academic foundations and practitioner commentary, from Alan Turing’s work (1912-1952) to latest advances in quantum computing. A short individual presentation and a group white paper allow students to combine and hone the various acquired skills in an end-end application. As an overarching objective, upon successful completion of the course, students will be able to devise and “pitch” an innovate BA process to an organization, including strategic recommendations on its business value and implementation.

LOGISTICS: Required course for IKNS students, open to all Columbia University graduate students; no prerequisites other than beginner’s familiarity with spreadsheet software and simple statistics (e.g., average, error margin). Online course meets once a week (live via zoom) for the duration of the semester.

Note: This course is offered both in an online (synchronous) format as well as in an in-person format. Both formats include a multi-day, on-campus Residency in late March/early April. Please refer to the Important Dates section of the Curriculum & Courses page for upcoming Residency dates.

How do organizational leaders invest in digital technologies and capabilities to catalyze digital transformation? Moreover, how do corporations and institutions create an effective portfolio of digital investments that are aligned — continuously over time — with the organization’s mission and strategy? This course provides an introduction to digital transformation, and the modern (digital) “place” of work, such as intranets, search appliances, analytic dashboards, enterprise social media, mixed reality, and content management. Feeding the digital workplace are “sources of record,” including Enterprise Resource Planning (ERP), HR systems, Customer Relationship Management (CRM), IoT sensors, and digital marketing. Finally, we look at likely future scenarios for work and how organizations can prepare for digital transformation and beyond.

Note: This course is offered both in an online (synchronous) format as well as in an in-person format. Both formats conclude with a multi-day, on-campus Residency in December. Please refer to the Important Dates section of the Curriculum & Courses page for upcoming Residency dates.

OVERVIEW: The IKNS Capstone represents the culmination of learning throughout the IKNS program in which students master business-critical concepts in data, analytics, people, networks, integration, and strategy. Working individually and in small teams, students design and deliver a project for a capstone sponsor seeking IKNS expertise to help solve a real-world problem within the sponsor’s organization. Using what they have learned from across the curriculum, students apply IKNS frameworks and use both qualitative and quantitative research to develop a written business report, oral presentation. and a final product for the sponsor including but not limited to a roadmap, strategic plan, white paper, or minimum viable product (MVP). The Capstone provides a final testing ground for students to apply their learning to real organizational needs and also become familiar with consultative approaches to inspire impact for their Capstone project sponsor. 

LOGISTICS: Open to IKNS only.  Prerequisites:  Before embarking on the Capstone course, students must have earned at least 18 credits towards their IKNS degree. At least 12 of these 18 credits must be specifically from required courses.