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  1. Bachelor- und Master-Studium flexibel abends und am Wochenende. Ein Studium an der FOM: flexibel, praxisnah und persönlich. Jetzt informieren.

  2. Summer experiences and year-round events to nourish learning and leadership growth. Changing the odds for high-potential teens from under-resourced communities in Los Angeles

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  1. Profil. Die Carnegie Mellon University, kurz CMU, ist eine private Forschungsuniversität in Pittsburgh, Pennsylvania. Sie entstand 1967 durch die Vereinigung des Carnegie Institute of Technology (gegründet im Jahre 1900 von Andrew Carnegie) und dem Mellon Institute of Industrial Research (gegründet 1917 von Richard Beatty Mellon).

  2. Carnegie Mellon UniversityCarnegie Mellon University. Carnegie Mellon University (CMU) is een particuliere universiteit in Pittsburgh. De universiteit is vooral sterk op technologie gebied, waaronder informatica en techniek. Carnegie Mellon is een belangrijk centrum voor onderzoek, vooral op het gebied van informatica en robotica .

  3. Contact MBA Admissions. Contact the MBA Admissions team with questions via email or by calling 412-268-5687. Email MBA Admissions.

  4. CMU is a global research university known for its world-class, interdisciplinary programs: arts, business, computing, engineering, humanities, policy, science. CORONAVIRUS UPDATES: Get the most up-to-date information on Carnegie Mellon's response to the coronavirus.

  5. Academics Breakthroughs happen at the intersection of fields — a Carnegie Mellon University specialty. Renowned faculty explore side by side with students, collaborating on research, tackling society's biggest challenges and delivering work that matters.

  6. Industry is innovating like never before, and a new generation of leaders is needed to harness technology and big data to propel organizations—and society—forward. Our Master of Information Systems Management (MISM) program blends technical and leadership skills, equipping you with the ability to transform organizations through technology.

  7. A typical schedule for a student in the program might be: Fall semester, year 1: 10-701 or 10-715 Intro to Machine Learning + 36-700 or 36-705 Statistics + 1 elective course. Spring semester, year 1: 2 core courses + 1 elective course. Summer semester, year 1: Practicum (internship or research related to Machine Learning).