Computer Science


Develop state-of-the-art computing expertise that will prepare you for a highly successful career when you enroll in the Master of Science (MS) in Computer Science at Hofstra University. Study dynamic areas such as data mining and machine learning; networks and network security; distributed, parallel, and mobile computing; computer graphics and computer vision; and artificial intelligence. Gain valuable hands-on experience through paid positions offered as part of our co-op program. Choose to take courses either online or on-campus. Scholarships are available for qualified candidates. Please note, the GRE is not required for admission.

Did you know that the U.S. Bureau of Labor Statistics recently reported that employment in computer and information technology occupations is projected to grow 22 percent from 2020 to 2030, faster than the average for all occupations?

Program Highlights

Program Details

Visit the Hofstra campus or connect with the graduate admissions team. We will answer your questions and put you in touch with program faculty or degree candidates to learn more. Contact us at or call 516-463-4723.

To be considered for the MS in Computer Science program, you must have completed an undergraduate degree from an accredited institution.

The following prerequisites are required, though conditional admission may be offered:

  • Discrete Mathematics
  • Programming Principles and Techniques
  • Algorithms and Data Structures
  • Computer Architecture
  • Operating Systems
  • Calculus

Start your application online where you can upload the following documents:

  • Transcripts from all previously attended colleges and universities. You may initially submit unofficial copies of your transcripts online for your application review, but official transcripts will be required once you are accepted into the program.
  • GRE Verbal, Quantitative, and Analytical Writing scores (optional)

If you are a current Hofstra student and interested in pursuing either the dual BS/MS or BA/MS program, please contact your academic advisor.

Visit the Computer Science program page to learn more.

International students: Please review additional admission requirements.

Apply to the MS in Computer Science program at any time with our rolling admissions policy.

The MS in Computer Science is awarded to students who successfully complete 30 semester hours.

Visit the Computer Science program page to learn more.

Faculty Profiles

Gerda L. Kamberova

Dr. Gerda Kamberova's research interests include computer vision, multi-sensor fusion, and decision making under uncertainty. Her work on the development of methods for reconstructing 3D scenes and shapes of objects from digital images and in quantifying the geometry of 3D point sets was funded by a National Science Foundation grant and a research grant from Google.


Uzo N. Osuno

As a graduate program director and adjunct associate professor, Professor Osuno is a leader in Data Science, Analytics, Cybersecurity, Vendor relations offering versatile strengths, and a record of over fifteen years work experience. Professor Osuno has had success In the Petroleum, Finance, and Healthcare industries, on three continents, both as a consultant and as a full-time employee. Creating systems designed to guide decision making and corporate strategy is their forte.

Gerda L. Kamberova
Uzo N. Osuno

Take the Next Step

How to Apply

Earn the professional recognition and personal achievement you seek with a graduate degree from Hofstra University. Whether you study online or on campus, full or part time, you will benefit from small class settings with nationally recognized faculty and a community of peers all contributing to a transformative learning experience. Questions? Call 516-463-4723 or email our graduate admission team at

No GRE is required for admission.

Apply today!