Computer Science | Hofstra University

ACCESS TO FULL-TIME CO-OP CAREER OPPORTUNITIES

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

Expert Faculty

Learn in small classes from expert faculty members who hold the highest degrees in the field. You’ll be prepared with the technical aptitude, hands-on experience, and connections you need to pursue rewarding careers in the field.

Meet Our Faculty

Real-world Experience

Gain invaluable insight into how companies work and expectations for new employees through a paid position with one of our 50+ corporate partners across the nation who participate in the DeMatteis Co-op Program at Hofstra. This opportunity is the only one of its kind in the NY metro area.

More About the DeMatteis Co-op Program

State-of-the-art Facilities

Learn in laboratories and classrooms with new technologies, machinery, and equipment, including a Big Data Lab, Gaming and Graphics Lab, and Systems, Networking and Security Lab.

Discover Our Facilities

Exceptional Outcomes

Our graduates work in machine learning, artificial intelligence, systems security, application development, and more. They are also accepted into prestigious doctoral programs.

Learn About Outcomes

Competitive Tuition

The MS in Computer Science from Hofstra University is an investment in your professional career. Our master’s degree is priced competitively and is based on the graduate tuition rate per credit hour. Scholarships are available for qualified candidates.

Get Info on Tuition

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 graduateadmission@hofstra.edu 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.

MEET DR. KAMBEROVA

Jianchen Shan

Jianchen Shan is an assistant professor in the Department of Computer Science at Hofstra University. He received his Ph.D. degree in Computer Science from New Jersey Institute of Technology, and M.S./B.S. degrees in Computer Science from Shanghai University. His research interests and experience span the areas of Cloud Computing, Parallel and Distributed Computing, High-Performance Computing, Mobile Computing, and Operating System.

MEET PROFESSOR Shan

Gerda L. Kamberova

Jianchen Shan

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 graduateadmission@hofstra.edu.

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