News

May 25

Carnegie Mellon University Africa Celebrates 8th Graduation

The 8th annual CMU-Africa graduation ceremony took place on Sunday, May 23, celebrating this year’s graduating class of 66 graduates from 12 different countries in Africa.

May 14

SMART Africa recipient spotlight: Edwin Mukhebi

Edwin Mukhebi talks about his time at CMU-Africa, and how the program prepared him to work on real-world problems.

Apr 28

SMART Africa recipient spotlight: Kizito Nyuytiymbiy

Kizito Nyuytiymbiy, a Smart Africa Scholar recipient, found his time at CMU-Africa particularly rewarding because of the diversity of African perspectives offered by the program.

More news from Carnegie Mellon University Africa

Inaugurating CMU-Africa's new location

Degree programs

Master of Science in Electrical and Computer Engineering (MS ECE)

The 10-16 month MS ECE program is for students who are interested in creating technology solutions not only for today, but for the future. Students are prepared to become engineering leaders through fundamental and hands-on courses in wireless networks, machine learning, data analytics, robotics, energy systems, internet of things, and software engineering.

Master of Science in Information Technology (MSIT)

The 16-20 month MSIT program strikes a fine balance between technology, business and innovation, preparing the next generation of ICT leaders in Africa. This program is for students interested in an interdisciplinary curriculum that covers key topics in data science, cyber security, software engineering and telecommunications among others.
Master of Science in Engineering Artificial Intelligence (MS EAI)

Our new Master of Science in Engineering Artificial Intelligence (MS EAI) program is for students who want to integrate AI into their engineered solutions. The four-semester, 144-unit degree combines the fundamentals of artificial intelligence and machine learning with engineering domain knowledge. The MS EAI takes AI and embeds it into engineering frameworks, including engineering representations, applications within engineered systems, and discipline-specific interpretations of system outcomes. Within these frameworks, students will learn to invent, tune, and specialize AI algorithms and tools for engineering systems. MSEAI graduates engineer new solutions where AI is integral to the engineered system’s design or operation.

Seminars & Events