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¿Qué aprenderé?

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.

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.

Specializations

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.

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.

¿En cuál departamento estoy?

College of Professional Studies

Opciones de estudio

a tiempo completo (30 )

Costos de estudio
USD $1,305 per credit. This fee is for 2021 and it may be subject to change in the coming year.
Fecha de inicio

Esperado Septiembre 2022

Lugar

St. John's University

Queens Campus,

8000 Utopia Parkway,

QUEENS,

New York,

11439, United States

Requerimiento de entrada

Para estudiantes de Estados Unidos

Applicants must have an evidence of a baccalaureate degree from an accredited college or university including official transcripts from each institution attended.

Para estudiantes internacionales

All applicants must meet the following minimum requirement: A Bachelor degree, preferably in computer science, with a minimum GPA of 3.0.

Applicants must have Test for English as a Foreign Language (TOEFL) or IELTS examination scores.

Puede haber diferentes requisitos de IELTS en función del curso elegido.

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