M.A. Events
M.A. students enjoy a number of events designed and offered specifically to meet their academic and professional needs.
M.A. events
The M.A. speaker series invites leading political science scholars from across the country to present their work for discussion with M.A. students. Recent speakers include Professor Daniel Ziblatt, Harvard University (co-author, How Democracies Die, 2018); Gwyneth H. McClendon (author, Envy in Politics, 2018); and Alexander Hertel-Fernandez, Columbia University School of International and Public Affairs (author, Politics at Work, 2018).
GSAS Compass Graduate Career Development
GSAS Compass helps doctoral and master’s students in the Arts and Sciences to identify, work toward, and achieve their post-graduation career goals. GSAS Compass is committed to creating an inclusive culture that fosters exploration, nurtures diverse interests, and assists in preparing GSAS students for a range of careers that are well suited to their individual skills, interests, values, and personalities. Above all, it empowers students to harness their academic training in any career path they pursue.
GSAS Compass, offers a variety of career development services tailored to master’s and doctoral students. Online workshops and events will be offered beginning in June 2020, and one-on-one career counseling appointments will be available starting July 1. Compass will offer a full suite of programming and counseling beginning in Fall 2020.
Each spring, alumni from previous M.A. cohorts come to campus to discuss experiences and share advice about life during and after a political science degree.
M.A. students considering applying to Ph.D. programs in political science or related fields are invited to a series of presentations offered by department faculty and Ph.D. candidates. Faculty share information about the Columbia Ph.D. program and what the admissions committee seeks in prospective students. The Ph.D. student panel offers their experiences and insights about student life and the Ph.D. academic workload.