Online Master's of Computer Science » Schools » ​Arizona State University
Arizona State University – Online Master of Computer Science2019-06-18T21:28:32+00:00

Arizona State University – Online Master of Computer Science

Program Overview

According to Arizona State University:

“Designed for students seeking to expand their knowledge of computer science or computation, this program reflects the dual nature of computer science as both a scientific and engineering discipline by placing emphasis on both theory and practical applications. Students can study topics such as artificial intelligence, blockchain, cybersecurity, software engineering, big data and much more. The MCS is a non-thesis degree that requires 30 credit hours of coursework. Students receive lectures through the Coursera platform, but are advised and assessed by ASU faculty and teaching assistants on the rigorous set of assignments, projects, and exams required for university degree credit.”

At a Glance

URL https://asuonline.asu.edu/online-degree-programs/graduate/computer-science-mcs
Total credit hours 30 credit hours
Tuition per credit Tuition and fees
Time to complete 18-36 months
Admission requirements According to Arizona State University, to be eligible for admission to the Master of Computer Science program, applicants must fulfill the following requirements:

  • Three (3) semester or 12 credit hours of advanced math in Calculus I, Calculus II, and Calculus III (including multivariable calculus).
  • A minimum cumulative GPA of 3.25 in the last 60 credit hours (last two (2) years) of a four (4) year undergraduate degree. If your degree was completed in the U.S., it must be from a regionally accredited university.
  • Understanding of the following key computer science topics, as demonstrated on an official college transcript or through an online proficiency test: 1) Computer Organization and Assembly Language Programming, 2) Data Structures and Algorithms, 3) Operating Systems, 4) Principles of Programming Languages, 5) Introduction to Theoretical Computer Science, and 6) Introduction to Software Engineering.