CMU SV Software Engineering
 

I want to do MS in Software Engineering in Carnegie Mellon University so can you please provide me the details of the program?

Re: CMU SV Software Engineering
 

The College of Engineering of Carnegie Mellon University offers MS Software Engineering (MS SE) degree at the Silicon Valley campus through the Department of Electrical and Computer Engineering (ECE).

MS in Software Engineering

The Master of Science in Software Engineering (MS-SE) is a unique program offered exclusively at CMU’s Silicon Valley campus.

MS-SE is a full-time program available to qualified students who have earned an undergraduate degree in a relevant field.

It typically takes three semesters to complete.

Applications are accepted for the Fall and Spring semesters.

Deadlines-

Most applications are due by the following dates:

Spring admission: October 1

Fall admission: December 15

Application Fee-

The non-refundable application fee of $70 is required of all applicants and only those applications received with the fee will be processed.

Applications received without the fee will not be processed and the application fee cannot be waived.

Course requirements-

Each MS in Software Engineering candidate must complete 96 units of coursework. These units are made up of the following degree requirements:

ECE Core Graduate Coursework: 60 units

The ECE program requires 60 units of core coursework that may not be waived or substituted. Students should choose at least one course in each of the following three areas (follow the links for the course list):

Software Engineering and Design
Analysis
Systems

The remaining 24 units can be additional coursework in the above areas or 12 units of a graduate research project (18-980).

Software Engineering and Design

18-652 Foundations of Software Engineering
18-653 Software Architecture
18-655 Service Oriented Computing
18-658 Software Requirements and Interaction Design

Analysis

18-654 Software Verification, Validation & Testing
18-657 Decision Analysis & Engineering Economics for Software Engineers
18-660 Numerical Methods for Engineering Design and Optimization
18-687 Analytical Performance Modeling
18-697 Statistical Discovery and Learning

Systems

18-638 Mobile Security
18-640 Foundations of Computer Architecture
18-644 Mobile Hardware for Software Engineers
18-645 How to Write Fast Code
18-646 Low-Power System-on-Chip Architecture
18-647 Connected Embedded Systems Architecture
18-656 Data-Intensive Workflow Development for Software Engineers
18-659 Software Engineering Methods
18-842 Distributed Systems
18-843 Mobile and Pervasive Computing

Contact-

Carnegie Mellon University
5000 Forbes Ave, Pittsburgh, PA 15213, United States