Master’s in Computer Science from a Top-Ranked Online Graduate Engineering ProgramRanked in the Top 10 for Online Graduate Engineering Programs by U.S. News and World Report
The Master of Computer Science (MCS) degree program from Arizona State University provides high-quality instruction combined with real-world experience through applied projects. You’ll gain a deep understanding of cutting-edge topics like AI, cybersecurity, blockchain, and big data.
This degree is delivered 100% online, providing the flexibility for you to learn on your own schedule. Upon completion, you’ll earn the same degree as students who study on-campus.
Study topics from the cutting edge of computer science. You'll learn how to perform accurate computer analysis , 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; improve software reliability and network security; and invent next-generation computer systems such as biomedical information systems, search engines, or package distribution systems.
Leverage unique opportunities from the most innovative school in the US. U.S. News and World Report named ASU the most innovative university for four consecutive years. As an ASU MCS student, you can opt to work with on-campus organizations such as the one-of-a-kind Blockchain Research Laboratory, offering a rich ecosystem of partners including private companies and government agencies. Coursework includes applied problems that are relevant to modern businesses.
Complete a rigorous set of assignments, projects, and exams guided by the same professors that teach on campus. 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.
A Pathway into the degree. If you do not meet the GPA or prerequisite knowledge admission criteria, we have alternate options for you to demonstrate your capability.
Earn a MasterTrack™ Certificate in Big Data or in AI and Machine Learning
Learn more about our Pathway and Prerequisite Course
To meet degree requirements, all online MCS students must take one foundations course, one systems course, one applications course, and any seven additional courses from the list below. Students must also submit a project portfolio.
Foundations CSE 551 Foundations of Algorithms CSE 579 Knowledge Representation and Reasoning
Systems CSE 531 Distributed & Multiprocessor OS CSE 535 Mobile Computing CSE 539 Applied Cryptography CSE 543 Information Assurance and Security CSE 545 Software Security CSE 548 Advanced Computer Network Security CSE 565 Software Verification, Validation, and Testing CSE 566 Software Project, Process, and Quality Management
Applications CSE 511 Data Processing at Scale CSE 539 Applied Cryptography CSE 571 Artificial Intelligence CSE 572 Data Mining CSE 575 Statistical Machine Learning CSE 578 Data Visualization
Electives CSE 466 Computer Systems Security CSE 598 Engineering Blockchain Applications CSE 598 Intro to Deep Learning in Visual Computing CSE 598 Advanced Software Analysis and Design
Master of Computer Science in Cybersecurity
The Cybersecurity concentration is designed to provide students the knowledge, skills and the advanced development capability in science and engineering for cybersecurity, including computer and network security, software security, data and information security, applied cryptography and computer forensics. Students who pursue the Cybersecurity concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to cybersecurity. Learn more
Master of Computer Science in Big Data
The Big Data concentration is designed to provide students with the analytical expertise to generate insights from data and inform decision-making for organizations. Through project-based learning, students will learn to build scalable systems for capturing, processing, and interpreting large and complex data sets. Students who pursue the Big Data concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to big data. Learn more