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.
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:
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
718-990-1601
[email protected]
The M.S. degree program requires all students to complete 30 credits according to the following degree requirements. Students must:
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.
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.
Explore opportunities at St. John's with our pathway generator.
By majoring in Computing and Machine Learning at St. John's, you build the technological proficiency necessary to meet the challenges of the 21st century.
St. John’s 30-credit master’s degree in Cyber and Information Security accelerates your career and transforms your world view through an immersive learning experience that connects you with the brightest minds in the field and state-of-the-art learning resources.
The M.S. in Data Science prepares students in the topics of databases, data mining and machine learning algorithms, data visualization, statistics, text analytics, and big data.
Learn the wide spectrum of emerging technologies and its role as catalyst to achieve strategic and competitive advantage in the global market with an M.B.A. concentrating on Information Systems from St. John's University.
Earn your dual degree from St. John's University!
The central goal of the Associate degree in Information Technology in the Collins College of Professional Studies is to prepare students either to enter the job market or to move on to a 4-year degree program leading to the Bachelor of Science in Information Technology, or to another related 4-year degree program at St. John’s University.
Degree prepares graduates for careers as: software and infrastructure architects/developers; information/network security analysts; database managers.
For highly-motivated students, St. John’s College of Liberal Arts and Sciences offers a combined Bachelor of Science (B.S.) and Master of Science (M.S.) program in Information Technology and Library and Information Science. The program allows you to complete your undergraduate and graduate degrees in five years of full-time study, with internships available at the graduate level.
Networking Systems at St. John's University is a professional curriculum built upon a liberal arts core. The Networking Systems major, offered to both day and evening students, is designed to provide both a comprehensive education leading to such initial careers as telecommunications analyst, systems analyst, network manager, and first-line supervisor and a solid preparation for further academic and professional study in networking, computer science, and decision sciences.
Networking Systems at St. John's University is a professional curriculum built upon a liberal arts core. The Networking Systems major, offered to both day and evening students, is designed to provide both a comprehensive education leading to such initial careers as telecommunications analyst, systems analyst, network manager, and first-line supervisor and a solid preparation for further academic and professional study in networking, computer science, and decision sciences.
Networking Systems at St. John's University is a professional curriculum built upon a liberal arts core leading to the Bachelor of Science degree. The Networking Systems major, offered to both day and evening students, is designed to provide both a comprehensive education leading to such initial careers as telecommunications analyst, systems analyst, network manager, and first-line supervisor and a solid preparation for further academic and professional study in networking, computer science, and decision sciences. An option is available to enable students to earn the Bachelor of Science in Networking Systems with a minor in business.
Networking Systems at St. John's University is a professional curriculum built upon a liberal arts core. The Networking Systems major, offered to both day and evening students, is designed to provide both a comprehensive education leading to such initial careers as telecommunications analyst, systems analyst, network manager, and first-line supervisor and a solid preparation for further academic and professional study in networking, computer science, and decision sciences.
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St. John’s offers a free online application for all 100+ undergraduate programs, and graduate applications carry a low cost for most programs.