News

Oct 21

CyLab-Africa to host Cybersecurity Education, Research, and Awareness Day

The event will focus on the challenges and opportunities of cybersecurity research, education, and awareness in financial services in Africa.

Sep 29

Allen Robinson named new director of CMU-Africa Opens in new window

Allen Robinson has been named the next director of CMU-Africa, effective January 1, 2022.

Sep 28

Alumni spotlight on Marie Claire Murekatete

From the timid candidate who shyly submitted her application all those years ago, to the engineer, multiple award-winning advocate for women in tech, and current Technical Program Manager at Intel she is today, the story of Marie Claire is a fascinating one.

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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

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