Courses

List of Courses Offered at Carnegie Mellon University Rwanda (CMUR)

List of Courses Offered at Carnegie Mellon University Rwanda (CMUR), Carnegie Mellon University Rwanda (CMUR) Courses… The Carnegie Mellon University Rwanda (CMUR) Courses are available online. Applicants can apply to available courses/programmes offered at Carnegie Mellon University Rwanda (CMUR) approved by management. We (the Kenrrylite Team) are here to show you all the information you need.

Carnegie Mellon University Rwanda (CMUR) Courses are online now. Applicants can apply online through this page.

The Carnegie Mellon University Rwanda (CMUR) advises applicants before applying for any courses of the institution to read all the information concerning the course of study such as duration, requirements, fees, etc.

List of Courses Offered at Carnegie Mellon University Rwanda (CMUR)

See the list of Courses at Carnegie Mellon University Rwanda (CMUR) below.

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

The 10-16 month MSECE 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. There is also an Advanced Study Program for the MS ECE: MS-AD in ECE.

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)

The 16-20 month MS EAI program opens the door to advanced skills that will enable engineers to design powerful solutions to today’s challenges. Students learn to combine a foundation in artificial intelligence, machine learning, and data science with their engineering, information technology, and software skills through theoretical and practical hands-on study of real-world applications.

  • Software Engineering
  • Software Development
  • Cyber Security
  • Applied Machine Learning
  • Energy Systems
  • IT Entrepreneurship
  • Network Technologies

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