Students in the Master of Science (MS) in ECE program are provided with a thorough background in the fundamentals of electrical and computer engineering, as well as the opportunity for in-depth specialization in some particular aspect of these fields.

The MS in ECE is a three-semester program comprised of 97 units of graduate coursework (600-level and above) available at the Pittsburgh and CMU–Africa campuses.

The MS in ECE, AD is a four-semester program comprised of 133 units of graduate coursework (600-level and above) available at the Pittsburgh campus. The Advanced Study program has the following requirements: 60 units of ECE Core Courses 36 units of CIT Elective Courses 36 units of General Technical Elective Courses

MS in ECE students can choose one of the following concentrations for focused study in a specific area of electrical and computer engineering. MS students are not required to completea concentration in order to graduate.

The MS in Civil & Computer Engineering combines the expertise of CMU’s Departments of Electrical & Computer Engineering and Civil & Environmental Engineering (CEE) into one program.

MS in Artificial Intelligence Engineering The Master of Science in Artificial Intelligence–Electrical and Computer Engineering is a three-semester (97-unit) program that offers students the opportunity to gain state-of-the-art artificial intelligence knowledge from an …

To obtain the MS degree, Carnegie Mellon students from outside ECE and Carnegie Mellon staff must be admitted into the ECE MS program and meet all of the admission requirements that are standard practice in the department and described in ECE documentation.

The goal of the MS in Artificial Intelligence Engineering–Electrical and Computer Engineering degree is for students to gain exposure to the three domain pillars of artificial intelligence:

We're interested in students who can succeed and thrive within the ECE Department, contributing to the Carnegie Mellon Community through their unique backgrounds.

We are engaged in the pursuit and dissemination of knowledge across a wide range of areas in electrical engineering and computer engineering—from cyber-physical systems to the technologies that have revolutionized our world, such as revolutionary data storage.