Master of Computer Science

Top 5 in nation for best online programs including a Master in Computer Science, as ranked by U.S. World & News Report

The Master of Computer Science (MCS) degree program from Arizona State University provides high-quality computer science instruction combined with real-world experience through applied projects. You’ll gain a deep understanding of cutting-edge topics like AI, cybersecurity, the blockchain, and big data while you develop interpersonal skills that help you succeed in any organization.

This degree is delivered 100% online, providing the flexibility for you to learn on your own schedule. When you finish the program, you’ll earn the same degree as students that study on campus.

Program Goals

Learn how to:

  • Perform accurate analysis of computers, computational processes, and information transfer systems
  • Leverage cloud platforms to increase productivity and effectiveness
  • Address problems in automated planning and scheduling, natural language processing, multi-agent systems, and the semantic web
  • Design, build, and protect secure systems that contain private information
  • Improve software reliability and network security
  • Invent next-generation computer systems such as biomedical information systems, search engines, or package distribution systems

Who is this degree for:

Ranked in the Top 5 for graduate job placement by The Wall Street Journal, a Master of Computer Science from ASU gives you the edge you need to launch a new career or move ahead in your current organization.

This program is ideal for:

  • Individuals with an undergraduate degree in computer science looking to advance their skill set for better career opportunities or compensation
  • Individuals in the technology field who do not have an undergraduate degree in computer science that seek to strengthen and formalize their knowledge.
AT A GLANCE
  • 18-36 months
    Avg. 20 hours per week
  • 10 courses
  • $15,000
  • Completely online

Start your application

The next cohort starts on January 7th, 2019.

Early Admission Deadline:

October 12th, 2018

When you apply, ASU will make a decision within 2-4 weeks. Once you’re accepted, you can start open courses right away!


Final Deadline:

November 15th, 2018

Three start dates each year (Fall, Summer, Spring)

Want to learn more before applying?

After answering a few short questions, we’ll be able to help you find out if you’re qualified to apply and give you more information about the degree program.

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Academics

To earn your MCS, you will choose 10 courses out of 20 course options in order to develop expertise on emerging in-demand technologies. Choose from areas of focus such as AI, Software Engineering, Cloud Computing, Big Data, and Cybersecurity. You’ll also create a project portfolio that you’ll use to showcase your experience to prospective employers.

  • 10 courses
  • 4 projects
  • 18-36 months
    Avg. 20 hours per week

Some of the projects you’ll do...

Design a Visual Analytics System

Explore and reason with data in this project by designing and building a visual analytics system for analyzing visitor data to a fictional theme park.

Build a Deep Learning Architecture

Design and build a deep neural network of many layers in this project, creating a network that can learn to recognize image categories from a given dataset.

Build a Movie Database

Demonstrate your ability to design and build a seven-table movie database from scratch in this project; you’ll also create applications to work on top of the database.

Implement a K-Means Algorithm and Its Variants

Create and build a clustering algorithm that can group the input collection of documents into a desired number of clusters in this project.

The degree experience is...

100% ONLINE
100% ONLINE

The same courses you’ll find on campus, with the flexibility to learn when and where you want.

INTERACTIVE
INTERACTIVE

Collaborate with a global network of industry leading classmates, instructors, and alumni.

ENGAGING
ENGAGING

Innovative courses with lectures from some of the world’s best instructors and hands-on projects.

CAREER-FOCUSED
CAREER-FOCUSED

Practical courses designed to help you master skills that you can start applying to your career right away.

When you graduate, you’ll be able to:

  • Success

    Design, build, and protect secure systems that contain private information

  • Success

    Address problems in automated planning and scheduling, natural language processing, multi-agent systems, and the semantic web

  • Success

    Leverage cloud platforms to increase productivity and effectiveness

  • Success

    Perform accurate analysis of computers, computational processes, and information transfer systems

  • Success

    Improve software reliability and network security

  • Success

    Invent next-generation computer systems such as biomedical information systems, search engines, or package distribution systems

Admissions

Start your application

The next cohort starts on January 7th, 2019.

Early Admission Deadline:

October 12th, 2018

When you apply, ASU will make a decision within 2-4 weeks. Once you’re accepted, you can start open courses right away!


Final Deadline:

November 15th, 2018

Three start dates each year (Fall, Summer, Spring)

About Arizona State University

#1

Ranked for Innovation by US News and World Report

Top 10

Ranked in the U.S. for employability by Times Higher Ed

#5

Ranked by the WSJ for producing the best-qualified graduates

Ready to start your application?

The next cohort starts on January 7th, 2019

Early Admission Deadline:

October 12th, 2018

When you apply, ASU will make a decision within 2-4 weeks. Once you’re accepted, you can start open courses right away!


Final Deadline:

November 15th, 2018

Want to learn more before applying?

常見問題

  • Students who complete the program will earn a Master of Computer Science degree - the exact same Master of Computer Science degree that is earned on campus.

  • Students may tailor their degree through electives to focus on a variety of in-demand computer science topics, including AI, cloud computing, IoT, and machine learning.

  • No, the GRE is not required for admission.

  • Graduate Admissions will only accept OFFICIAL documents. Do not send anything unofficial to the Graduate Admissions Office, as the processing of your application will be delayed. Applications will be released to the School of Computing, Informatics, and Decision Systems Engineering once all official documents are received. Please send all materials directly to Graduate Admissions.

  • The School of Computing, Informatics, and Decision Systems Engineering does not admit students on a conditional basis.

  • The School of Computing, Informatics, and Decision Systems Engineering admits students from a variety of backgrounds including Statistics, Mathematics, and Physics. A program to determine and address academic deficiencies will be in place by spring 2019.

  • Prerequisites/deficiencies do not need to be taken from ASU. We will be announcing an option for students to complete any identified deficiencies in August 2018 for the Spring 2019 start session.

  • No, we do not offer academic credit for work experience in the field.

  • The total cost of this degree will be $15,000, or $1,500 per 3-credit course. There are no textbooks required for the courses.

  • Completing Coursera courses alone does not waive a deficiency, but completing the course and working through the material can be an excellent way to prepare for the ETS test, which determines if there are topics a student is deficient in. Certain ETS test scores will satisfy deficiencies. More details on the ETS test will be available for Spring 2019.

  • Completion of Open Courses and/or Specializations on the Coursera platform by itself will not earn graduate credits from the university toward the degree. You must be registered in Arizona State University credit-bearing coursework to earn graduate credit.

  • The MCS degree does not currently provide concentrations online. As part of the program offering, you can select courses in an area of interest like Big Data, AI, Cybersecurity, etc.

  • Arizona State University recommends 3 hours of study for every hour spent in class. Full-time students enrolled in 9 credit hours per semester will spend an average of 25-27 hours of study time each week. Part-time students enrolled in 6 credit hours per semester will spend an average of 20 hours of study time. Full time students can complete the program within 1.5 years. Part time students can expect to take one course per session with an average completion of 2.5 years (assuming students take the summer sessions off).

  • As of now, no. However in the future, a student may be able to complete the program in an accelerated fashion.

  • No, letters of recommendation are optional.

  • You can transfer up to 12 credits between programs (from online program to the same on-campus program, for example) at ASU, as long as the grades are “B” or better. A submission of a new application will be required to facilitate this process.

  • Your diploma and transcript will not indicate that the degree was completed o nline. It will appear identically to the diploma and transcript of a student who completes his or her studies on campus. The onground and online programs have the same courses, same syllabi taught by the same faculty.

國際學生常見問題

  • We have a conversion rubric that we use depending on the country of origin for the transcript.

  • A student must have the equivalent of a four-year bachelor’s degree to be eligible to apply for a graduate program. Students who have a three-year bachelor’s degree can take one year of a master’s program in their home country to be equivalent to a bachelor’s degree.