This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
This asynchronous, 3-credit elective provides an immersive, supervised professional internship experience paired with structured reflection and applied academic work. Students integrate theory with practice while assessing organizational culture, ethical decision-making, feedback practices, and professional competencies. Through guided analysis and reflective assignments, students deepen self-awareness, strengthen career readiness, and clarify how their internship experience shapes future professional goals.
Narrative Medicine Independent Study may be taken for one to four points (credits) depending on the work involved as determined with the advisor. Students may propose an Independent Study topic based on their past experience and future professional or academic goals, providing the opportunity for in-depth investigation of a particular topic of interest. Examples include: curriculum, program design, or program evaluation projects; creative projects; publishable articles, etc. Independent Study is not required for completion of the program.
This course offers students an opportunity to expand their curriculum beyond the established course offerings. Interested parties must consult with the QMSS Program Director before adding the class. This course may be taken for 2-4 points.
Independent Study is a one- or three-credit course that can count toward the curriculum area requirement in Integrative Sustainability Management, Economics and Quantitative Analysis, Physical Dimensions, Public Policy, General and Financial Management, or Elective, with the approval of the faculty advisor. A final deliverable relating to the Sustainability Management curriculum is required at the end of the semester, and will be evaluated for a letter grade by the faculty advisor and reported to the SUMA program office.
Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.
Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.
Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).
Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.
Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.
Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).
This course fulfills the Masters Thesis requirement of the QMSS MA Program. It is designed to help you make consistent progress on your master’s thesis throughout the semester, as well as to provide structure during the writing process. The master’s thesis, upon completion, should answer a fundamental research question in the subject matter of your choice. It should be an academic paper based on data that you can acquire, clean, and analyze within a single semester, with an emphasis on clarity and policy relevance.
Each year, approximately 10–15% of MA in Statistics students participate in on-campus academic research, contributing to advances in statistical methodology and applied areas. Some projects demonstrate exceptional promise and benefit from additional time and support for further development. The MA Research Specialization in Statistics allows qualified students to extend their MA program to a fourth semester to continue their research under the supervision of a faculty mentor. This competitive, merit-based program requires demonstrated research progress, a nomination from a faculty mentor, and an outstanding academic record. STAT GR5999 serves as the course through which students admitted to the MA Research Specialization fulfill their research requirements.
The M.S. in Sustainability Management program is offering a panel workshop series, featuring SUMA alumni who will share firsthand insights into the courses that shaped their professional journeys. The workshops will offer a unique opportunity to hear how alumni applied their classroom learning in real-world sustainability careers across sectors, including corporate sustainability, sustainability finance, policy, consulting, environmental justice, and more.
This is a 0 credit ungraded course open to all students in the MS in Sustainability Management, MS in Sustainability Science, MPA in Environmental Science and Policy, MS in Climate, MS in Climate Finance, and MA in Climate and Society programs. Students can attend as many or as few workshops as they'd like, in person or virtually. The Zoom link and classroom location will be confirmed in the coming weeks.
Workshop dates and topics:
September 9 - Governmental Sustainability, Decarbonization, and Environmental Protection
September 16 - Corporate Sustainability
September 21 - Sustainability Finance
October 7 - Environmental Justice
October 14 - The Built Environment
October 21 - International Careers
November 11 - Energy Consulting
November 18 - Sustainability Analytics
December 2 - Nonprofit and Advocacy
Students study the sustainability science behind a particular sustainability problem, collect and analyze data using scientific tools, and make recommendations for solving the problem. The capstone course is a client-based workshop that will integrate each element of the curriculum into an applied project, giving students hands-on experience.
Current topics in biomedical engineering. Subject matter will vary by year.
This introductory course will explore computing concepts and coding in the context of solving policy problems. Such problems might include troubleshooting sources of environmental pollution, evaluating the effectiveness of public housing policy or determining the impact that local financial markets have on international healthcare or education. Using policy scenarios as examples, students will be exposed to topics including: requirements gathering, data collection, data cleansing, writing pseudocode and code, using Python packages to help solve policy problems, presenting technical solutions and the constraints of computing. The hands-on nature of the class will help students to develop a strong, transferable skill-set that could be applied to both current coursework and future employment. Between the computer science and policy context lectures, students will see how computer science will become a fundamental component of their policy analysis education.
This introductory course will explore computing concepts and coding in the context of solving policy problems. Such problems might include troubleshooting sources of environmental pollution, evaluating the effectiveness of public housing policy or determining the impact that local financial markets have on international healthcare or education. Using policy scenarios as examples, students will be exposed to topics including: requirements gathering, data collection, data cleansing, writing pseudocode and code, using Python packages to help solve policy problems, presenting technical solutions and the constraints of computing. The hands-on nature of the class will help students to develop a strong, transferable skill-set that could be applied to both current coursework and future employment. Between the computer science and policy context lectures, students will see how computer science will become a fundamental component of their policy analysis education.
This workshop provides an intense immersion in the methods and skills of narrative medicine. Lectures will open up themes of how stories work, creativity, ethics, bearing witness, and empathy, while the small groups practice rigorous skills in close reading, creative writing, and responding to the writings of others. The learning objectives of the workshops are to 1) provide personal contact to introduce and solidify intersubjective relationships among participants; 2) to ignite use of methods that have been and will be utilized in the on-line component, e.g., writing to prompts from literary texts and responding to both form and content of colleagues’ writing; 3) plenary lectures from the architects of the discipline of Narrative Medicine in the foundational theories to be studied; 4) scheduled cultural learning opportunities of New York City (music, museums, literary readings) for shared creative experiences; 5) contact with Master of Science in Narrative Medicine graduate program for certification participants toward their understanding of the breadth of the field and the potential for their continuing to study NM after the CPA; 6) introduction to the national and international reach of Columbia Narrative Medicine so that participants grasp the value and magnitude of the community they have entered as certification program students. Participants will be given the chance to present their own works-in-progress to assembled participants and faculty as a jump-start to collaborative projects during and after the participation in the certification program.
Basic techniques for analyzing quantitative social science data. Emphasis on conceptual understanding as well as practical mastery of probability and probability distributions, inference, hypotheses testing, analysis of variance, simple regression, and multiple regression.
Research in medical informatics under the direction of a faculty adviser.
Research in medical informatics under the direction of a faculty adviser.
Current topics in the Earth sciences.
May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
For first year doctoral students, emphasizing the skills needed for success in orienting them to Columbia and doctoral studies, including teaching and presentation skills (i.e., Microteaching, how to grade, hold office hours, conduct recitations, etc.); cultivating relationships with mentors, faculty, and colleagues; inclusivity; managing your budget; wellness; research and academic integrity and ethics.
ENGI E6002 is designed for second year doctoral students, emphasizing the skills needed for continued success in the doctoral program, including presentation and communication skills; academic writing skills; academic conference preparation; resiliency and project management skills.
This graduate seminar serves as a continuation of SPPO GR6001 (“Theory and Practice of Second Language Teaching”) and it is intended for in-service instructors of language, and language and content courses at the Department of Latin American and Iberian Cultures at Columbia University. It focuses on the application in the second language (SL) classroom of the pedagogical principles reviewed in the previous semester, with emphasis on methodological approaches and applied techniques.
Students will be directly mentored regarding the classroom treatment and presentation of grammatical, lexical, socio-cultural, and pragmatic aspects of the language in the SL classroom. From a communicative approach and beyond, they will also continue to engage with basic teaching techniques such as lesson planning, use of the target language, technology integration, task design, and the use of written and oral authentic materials. They will learn practically how to promote the development of students’ abilities for literacy and critical thinking. Finally, they will be carefully guided through the actual design and implementation of testing and assessment measures for the course they are teaching. In this seminar, we will also analyze real and potential case scenarios that will/may arise in the classroom and we will consider tactics to resolve problems that typically occur. Reflective teaching practices (teachers as learners of teaching, dynamics of classroom communication, the role of teachers’ beliefs about pedagogical practices) will be revisited and rethought.
For third year doctoral students to facilitate career exploration including teaching, presentation and communication skills; public speaking and facilitation; CV and resume writing; and Getting Things Done.
Open only to graduate students in the basic and medical science departments. Prerequisite: course director’s permission; knowledge of biochemistry and cell biology. The molecular and cellular basis for human disease, with an emphasis on modern research in characterization and treatment. Lectures, conferences, assigned readings, written and oral presentations.
For fourth year doctoral students supporting job search and degree completion, including searching for job opportunities (Academia, Industry); interview preparation; creating an academic portfolio; conducting a job talk; negotiation and mediation skills.