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The core of the Master of Engineering Management Program consists of four engineering management courses developed in conjunction with the Duke University School of Law and The Fuqua School of Business. A required internship accompanied by a written project summary and oral presentation ensures students have work experience, while four graduate ...
Tuition. Duke MEM Online tuition for the 2024-2025 academic year is $8,364 per course taken at the university. Students generally take two courses per semester over four semesters, though we offer flexibility to those who want to extend the program. In general, completion of the eight required program courses would result in a total tuition ...
Customize your degree to match your career goals. Through our elective tracks, Duke Engineering Management students in our campus program select courses that support the job roles and career goals they have in mind. The elective tracks help guide those choices by grouping courses by the skills needed to prepare you for your potential job role.
Duke MEM Online students take courses on their own schedules via online learning and come to our campus for three one-week residencies over the course of two years. The courses are recorded using Panopto software, and are accessible for live or delayed viewing via the Internet.
Latest curriculum for Master of Engineering Management at Duke University can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MEM at Duke University
The Duke MEM Product Management Club is excited to announce our team's outstanding performance at Round 2 of the Product Hackathon 2024, organized in collaboration with the Johns Hopkins Product ...
The Duke Master of Engineering Management program is a part of Duke Engineering's Institute for Enterprise Engineering, which provides high-impact professional education to meet fast-evolving industry needs. These programs draw on Duke Engineering’s research and educational strengths in: Computing Fundamentals. AI and Machine Learning.
