At a Glance

  • 100% online coursework
  • Choose a focus area in AI or Application Development, or design your own
  • Access to a cutting-edge virtual lab on your own laptop
  • Learn from practitioners in artificial intelligence, robotics, software engineering, and more
  • No GMAT/GRE required

Join a Rapidly Growing Field

The online master’s in computer science program from the Seidenberg School of Computer Science and Information Systems at Pace University prepares students for a variety of careers within the evolving IT industry and computing world. The program is an excellent option for both emerging computer science leaders and career changers. Focusing on excellence in applied computing for major enterprises, the program utilizes and provides hands-on experience with current technologies — we regularly update the curriculum to ensure that our students gain proficiency with industry-standard tools and best practices.

In addition, the online MS in Computer Science features customizable options and a bridge course for students who enter with non-technical backgrounds.

By teaching both the how and the why, we help our students stand out in the field and flourish in their careers. This approach is why Seidenberg School alumni are in high demand by corporate recruiters and successful start-ups.

Pace University

Students in the program utilize the Seidenberg Portable Lab, which enables them to virtually access a full-featured personal lab of software development tools and enterprise servers on their own laptops. Our coursework and virtual lab offer hands-on experience with a wide range of latest industry-standard tools and frameworks, from web and mobile computing to game development, cloud computing, machine learning, and big data processing techniques like Map Reduce. With online coursework and our cutting-edge virtual lab, you can learn and practice any time from anywhere.

Get Started


To learn more about online Master of Science in Computer Science program, fill out the fields in this form to download a free brochure. If you have any questions at any time, please contact an admission advisor at (866) 843-7205.

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Customizable Curriculum

Our online MS in Computer Science is designed to enable personalized learning through a wide variety of electives and three ways to focus your studies. Pace offers two curated focus areas that you may choose from or you can work with your advisor to create a focus area based on your career goals. Our pre-planned focus areas include:

  • Artificial Intelligence—Utilize deep learning and intelligent systems for optimizing system and business efficiency and quality
  • Application Development—Learn to create real-time applications and translate game design into workable script language for different computer and mobile platforms.

Throughout the program, you will learn from and connect with faculty members who are not only accomplished professors but who also have real-life experience in the field. The personalized, expert attention you receive is just one of the ways the Pace MS in Computer Science program is differentiated from other CS programs.

The program features four credits of a prerequisite bridge course for entering students with limited or no previous background in the field of computer science or programming. A student with a baccalaureate in computer science should be able to waive the prerequisite. The bridge course does NOT count toward the degree; however, grades earned are computed into the student’s QPA.

To learn more about the computer science curriculum, please visit the curriculum page.

Computer Science Careers

The IEEE Computer Society identified 23 emerging technology trends that are predicted to have a large impact on the computer science industry and world by 2022. These trends include:

  • Big data and analytics
  • Machine learning
  • Artificial intelligence
  • Cloud computing

As the world continues to embrace technology, it’s no surprise that demand for computer science skills continues to grow. Over the past decade, advancements in artificial intelligence and cloud computing have revolutionized business IT, making computer science one of the most dynamic and relevant fields in the modern world. The Bureau of Labor Statistics reports 15% expected job growth for computer and information research scientists from 2019-2029, much faster than the 4% average for all occupations.

A master’s in computer science can prepare those with experience for more managerial and leadership roles, and prepare career-changing students within the computer science field.

Graduate computer science education may also help you negotiate higher salaries throughout your career. Burning Glass estimates that computer scientists with a master’s degree earn an average of $96,000. Some of the skills linked to higher salaries include expertise in machine learning, data science, deep learning, and computer vision.

In addition to giving you the opportunity to build your proficiency with high-demand skills like those above, earning an MS in Computer Science can help you broaden your IT and management skills to help you enter or advance in a variety of careers, such as:

  • Computer Programmer
  • CIO
  • Database Administrator
  • Mobile App Developer
  • Network Administrator
  • Security Analyst
  • Software Engineer
  • Systems Manager
  • Web Developer

Pace master’s in computer science students also gain access to our career services team, which can connect you with employers, help you to improve your resume, or give you a chance to practice your job interviewing skills.

Admission Requirements

Candidates must hold a four-year undergraduate degree or equivalent in any area from a regionally accredited institution. A 3.0 undergraduate GPA is preferred, though we use a qualitative approach when looking at applications.

Students who have completed two introductory programming in Java courses and have working knowledge of a personal computer operating system can directly start the program study. Otherwise, they will be required to take one prerequisite course required for the program, CS 505 Introduction to Computer Science with Java, before officially starting the program study.

For more details on admission requirements and the application process, visit our admission page.