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Computer Science, Master of Science

The MS in Computer Science program offers specialization in Artificial Intelligence, Data Science, and Cyber Security which focuses on current state-of-the-art technologies and applications, that can help you develop the skills necessary to join an AI-driven economy of the future.

The employment landscape for computer science-related professions is strong. Technology generally (and computer science specifically) dominate the job market, in terms of necessary skills for success in virtually all career areas.

Students who enroll in the Computer Science graduate program will achieve knowledge and competency in the core areas of advanced database system design, compiler design, algorithms and theory of computation, software design and architecture, and distributed operating systems. Students will be able to choose from a variety of elective courses in mobile applications, cryptography, machine learning, and robotics; and they will select specializations in data mining and predictive analytics, software development, artificial intelligence, or cybersecurity.

Designed both for students with undergraduate degrees in computer science, as well as for career-changers (the latter, via a nine-credit bridge-course sequence). The method of delivery will mainly be as a campus-based program, with the option to expand to offer some courses as hybrid or online. The courses will be offered in the evening in Queens. Program delivery will accommodate full-time students in either 3 or 4 semesters as well as part time students.

The program supports the core Vincentian values of compassion and service in providing students with technical skills that can be used to combat poverty, disease, crime, as well as provide solutions in healthcare. It will utilize new instructional labs in St. Augustine Hall to provide maximum support for students' academic success.

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Degree Type
Area of Interest
Computing & Technology
Associated Colleges or Schools
Program Location
  • Queens Campus
Required Credit Hours

Admission Requirements

Admission to the program is contingent upon an assessment of the candidate’s ability to successfully pursue graduate study.  This assessment will be made by examining previous academic performance, letters of recommendation, the applicant’s essay, work experience, performance on standardized exams (such as the GRE), and any other evidence that the admissions committee believes to be relevant.

All applicants must meet the following minimum requirements:

  • A Bachelor degree, preferably in computer science, with a minimum GPA of 3.0;
  • Courses in Calculus I/II, Discrete Mathematics, Algorithms and Data Structures, Programming I/II; or at the division’s discretion,
  • GRE Scores (Optional but recommended): Applicants may submit an official copy of their GRE scores (in verbal reasoning,  quantitative reasoning, and analytical writing, taken within 5 years of application) in support of their application.

Bridge program

Students who do not meet the minimum course pre-requisites, at the division’s discretion, would be required to take the corresponding undergraduate equivalent courses offered at St. John’s University Collins College of Professional Studies; and/or one or more of following bridge courses: Intensive Programming I/II (CUS 501/CUS 503) and Mathematics for Computer Science (CUS 504).

For more information, please contact:
Office of Graduate Admission
[email protected]

Degree Requirements

The M.S. degree program requires all students to complete 30 credits according to the following degree requirements. Students must:

  • complete 5 core courses; equivalent to 15 credit units;
  • complete 3 elective courses from one or more specialization areas; equivalent to 9 credit units;  
  • complete one of the degree-required options/concentrations (accounts for 6 credit units).
    • Research option (requires the approval of a supervising professor): Students must enroll in CUS 795 and CUS 796 Master’s Thesis course, for two consecutive semesters and complete a master thesis report under the supervision of a faculty.
    • Applied (non-thesis) option: Students must complete, CUS790 Master’s Capstone Project, plus one elective course from any of the specialization areas.


The M.S. in computer science program elective courses are organized in specialization areas to allow students to tailor their degree to fit their academic and professional goals. Students, can elect to concentrate on a particular specialization by completing 3 elective courses within that specialization area. Current specializations include: Data Science Artificial Intelligence, Cybersecurity and Software Development.

Coursework Details

  • CUS 715 Algorithms and Theory of Computation.
  • CUS 720 Software Design and Architecture
  • CUS 725 Advanced Database Management Systems
  • CUS 730 Distributed Operating Systems
  • CUS 610 Data Mining and Predictive Modeling I
  • CUS 615 Data Mining and Predictive Modeling II
  • CUS 635 Web Data Mining
  • CUS 680 Distributed Big Data Analytics I
  • CUS 681 Distributed Big Data Analytics II
  • CUS 750 Robotics
  • CUS 752 Machine Learning
  • CUS 754 Computer Vision and Applications
  • CUS 640 Natural Language Processing
  • CUS 740 Software Testing and Quality Assurance
  • CUS 742 Mobile Application Development
  • CUS 744 Software Engineering
  • CUS 746 Secure Software Development

Career Outcomes

The 30-credit M.S. degree program in Computer Science combines foundational computer science with the advanced technical skills needed for today’s high-tech careers. The program aims to prepare students with the required qualifications to become Software Developers, Database Administrators, Data Analytics Specialists, Artificial Intelligence/Machine Lea Specialists, Artificial Intelligence/Machine Learning Specialists, Information Security Analysts, or to pursue further research or a doctoral degree in computer science.

Contact Program Coordinator

Dr. Christoforos Christoforou

Program Coordinator

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