Spring B Application Deadline: February 15 | Apply today
Ranked in the Top 10 for Online Graduate Engineering Programs by U.S. News and World Report, a Master of Computer Science from ASU gives you the edge needed to launch a new career or advance in your current organization.
This program is ideal for:
Spring A - Start date: January 11, 2021
Application Deadline: December 14, 2020
Spring B - Start date: March 15, 2021
Application Deadline: February 15, 2021
When you apply, ASU will make a decision within 2-4 weeks. Once accepted, you can start open courses right away!
Questions? Contact ASU Online Graduate Program Recruitment Services at 1-844-353-7953 or firstname.lastname@example.org.
A minimum cumulative GPA of 3.0 (3.25 recommended) in the last 60 credit hours (last two (2) years) of a four (4) year undergraduate degree. Degrees in the U.S. must come from a regionally accredited university.
Don’t yet meet these requirements? Learn more about the MCS Pathway.
Two (2) semesters of advanced math in Calculus I and Calculus II, and a background course in Discrete Math. Students with an undergraduate degree in a STEM field have likely completed the math requirement.
Demonstrated knowledge on official transcripts of the topics below.
Computer Organization and Assembly Language Programming (CSE 230): Register-level computer organization. Instruction set architecture. Assembly language. Processor organization and design. Memory organization. IO programming. Exception/interrupt handling.
Data Structures and Algorithms (CSE 310): Advanced data structures and algorithms, including stacks, queues, trees (B, B+, AVL), and graphs. Searching for graphs, hashing, external sorting.
Operating Systems (CSE 330): Operating system structure and services, processor scheduling, concurrent processes, synchronization techniques, memory management, virtual memory, input/output, storage management, and file systems.
If you don’t have these topics on your transcript but have a strong understanding of them, you can take the prerequisite knowledge exams. If you complete the exams with the grade outlined in the respective syllabi, you will satisfy that prerequisite knowledge requirement. To access these exams and the accompanying refresher courses, click here.
English Proficiency (if applicable)
If all college degrees are from a country outside the U.S., you may need to demonstrate English Proficiency.
Learn more about demonstrating English Proficiency. Note that the MCS degree requires higher English proficiency scores than required for general international graduate admission.
Don’t yet meet this requirement? If you complete the Pathway, you will have demonstrated English Proficiency.
For any questions, please call us toll-free at 1-844-353-7953 or email email@example.com
The Pathway offers you an opportunity to establish a high Graduate GPA in order to meet admission requirements. This is also a great option if you are interested in taking a few MCS courses.
Through the Pathway, you choose and complete any three 500-level (3) courses (such as the three courses that make up the MasterTrack™ Certificate in Big Data or three courses from the MasterTrack™ Certificate in AI and Machine Learning) that are part of the MCS degree program as a non-degree student. If you complete all three courses with a 3.00 GPA on the first attempt within a year, you have demonstrated the ability to succeed in the subject matter and can apply to the degree program using this new GPA. The courses you complete in the pathway with a B or better will apply towards the MCS degree, once admitted.
Additionally, students who complete nine (9) graduate credits with a “B” or better, do not need to demonstrate English Proficiency. So if you successfully complete the Pathway, you will have satisfied the English Proficiency requirement.
Participating in any of the MasterTrack Certificate programs (Big Data, AI and Machine Learning, Cybersecurity, or Software Engineering) will provide you the same online learning experience as taking the MCS degree program on Coursera. You’ll get to know what it’s like being an online student learning at the master’s level with live expert instruction and feedback combined with interactive team-based learning.
Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution.
We encourage you to investigate whether this degree meets your academic and/or professional needs before applying.