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MS in Computer Science — Online

Elevate your career with our fully online MS in computer science.

Take your career to the next level with this flexible, fully online program designed for busy tech professionals.

Our 30-credit program offers the same academic rigor and high quality that you would find on campus.  

Complete advanced coursework taught by award-winning faculty with broad industry expertise. Deepen your technical knowledge base. Cultivate specialized skills in areas like AI, machine learning, and cybersecurity. You'll come away with proficiency in: 

  • Software design, implementation, and testing
  • Solving computing problems by applying algorithmic and theoretical computer science principles

Plan on two to four years to complete your graduate degree, depending on your course load each semester. Degree requirements include:

  • 30 credits meeting the course requirements
  • Four core courses, with at least one theory, systems, or artificial intelligence class, such as Algorithms for Data Science and Intro to Computer Network Security
  • 12 credits in 600-level classes

Learn more about our MS in CS

Whether you're interested in our on-campus, online, or hybrid program, our Master's in Computer Science degree can help you level up your career.

Featured classes

COMPSCI 532
Systems for Data Science

In this course, students will learn the fundamentals behind large-scale systems in the context of data science. We will cover the issues involved in scaling up and out parallelism in order to perform fast analyses on large datasets.

COMPSCI 590K
Advanced Digital Forensic Systems

Topics covered may include advanced file carving and reconstruction, forensic analysis of modern file systems, network forensics, mobile device forensics, memory forensics, and anti-forensics.

COMPSCI 677
Distributed and Operating Systems

This course provides an in-depth examination of the principles of distributed systems and advanced concepts in operating systems. Covered topics include client-server programming, distributed scheduling, virtualization, and cloud computing.

Application information & deadlines

This program is intended for students with a solid background in computer science and mathematics. An undergraduate degree in computer science is ideal but by no means required.

Spring Admission

Priority deadline; Nov. 15: final deadline

Fall Admissions

Priority deadline; July 15: final deadline