Program Overview

Computer Science Program

The Master of Science (MS) in Computer Science at Hofstra University is designed to prepare students for a highly successful career in the field. The program focuses on 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.

Program Highlights

Expert Faculty

Students learn in small classes from expert faculty members who hold the highest degrees in the field. The faculty provides students with the technical aptitude, hands-on experience, and connections needed to pursue rewarding careers.

Real-world Experience

The DeMatteis Co-op Program at Hofstra offers students a paid position with one of the 50+ corporate partners across the nation. This opportunity provides invaluable insight into how companies work and the expectations for new employees.

State-of-the-art Facilities

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

Exceptional Outcomes

Graduates of the program work in machine learning, artificial intelligence, systems security, application development, and more. They are also accepted into prestigious doctoral programs.

Competitive Tuition

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

Program Details

• REQUIREMENTS
  • Completed undergraduate degree from an accredited institution
  • Prerequisites:
    • Discrete Mathematics
    • Programming Principles and Techniques
    • Algorithms and Data Structures
    • Computer Architecture
    • Operating Systems
    • Calculus
• DEADLINES
  • Rolling admissions policy
• CURRICULUM
  • 30 semester hours required for the MS in Computer Science

Faculty Profiles

Gerda L. Kamberova

Dr. Gerda Kamberova's research interests include computer vision, multi-sensor fusion, and decision making under uncertainty. Her work has been funded by a National Science Foundation grant and a research grant from Google.

Jianchen Shan

Jianchen Shan is an assistant professor in the Department of Computer Science at Hofstra University. His research interests and experience span the areas of Cloud Computing, Parallel and Distributed Computing, High-Performance Computing, Mobile Computing, and Operating System.

Admission Criteria

To be considered for the MS in Computer Science program, students 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 Students must submit transcripts from all previously attended colleges and universities. GRE scores are optional. International students must review additional admission requirements.