The dynamic and growing field of computer science provides opportunities for intellectual activity, research, and future employment. The aim of the master's program is to prepare students for professional careers in private industry, government, and academe. For those who seek academic careers and opportunities for more advanced research, the master's program may constitute a significant portion of the Computer Science PhD program offered by the CUNY Graduate Center. The Department maintains close ties with the CUNY Institute for Software Design and Development, which offers internship opportunities and gateways to the software industry in the New York region.
Over the years, our department's faculty members have conducted a wide range of research in computer science and have received external funding from such federal agencies as the National Science Foundation, National Institutes of Health, and Department of Defense, as well as from corporate sources. Research interests of our current faculty include algorithms, artificial intelligence, computational linguistics, distributed computing, database systems and information retrieval, computer vision, image analysis / processing, cryptography, computational algebra, and the Internet of Things.
The Department’s multiplatform computing infrastructure consists of 3 class-C subnets, numerous routers and switches, scores of computing, storage and other shared resource servers, and hundreds of desktops and laptops in our instructional labs and faculty research labs.
The Master of Arts in Computer Science requires a total of 30 graduate credits, including courses in four areas of study: software, theoretical foundations, hardware, and mathematical applications & algorithms. The degree requirements are specified in detail in the Guide for New Master's Students and the Graduation Checklist sections below.
The software area is the primary focus of the program. Examples of course offerings in this area are courses on fundamental algorithms, database systems, distributed software systems, image processing, computer vision, information organization and retrieval, advanced C++, cloud computing, natural language processing, and artificial intelligence. The program also offers many courses in the mathematical applications & algorithms area, such as courses on machine learning, modeling and simulation, data mining, algorithms for Big Data, data analytics, numerical methods, cryptography, and genetic algorithms.
Applicants for admission are expected to have a U.S. or U.S.-equivalent bachelor's degree with a minimum grade point average (GPA) of 3.0. Applicants whose native language is not English and whose post-secondary education was not in English are required to submit a TOEFL (iBT) score of at least 61, an IELTS score of at least 5, or a PTE score of at least 44.
The program's courses may assume knowledge of the following subjects:
Applicants deemed to have insufficient background in one or more of these subjects (including those with a bachelor's degree in a field other than computer science) may be admitted with the condition that they take specified undergraduate courses at Queens College to make up the deficiencies in their background: The Department determines which remedial undergraduate courses any such applicant is required to take; the number of required remedial courses ranges from one to thirteen, depending on the applicant's background. We call these remedial courses the applicant's conditional courses. To earn the MA degree, applicants who are required to take conditional courses must take those courses in addition to the 30 credits of 700-level courses all MA students must take.
Our expectations of applicants are outlined above, and the program's degree requirements will be stated in the Guide for New Master's Students section below. Here we provide some information regarding the application process, transfer credits, and financial aid.
How to apply: All applications must be submitted through the online application system available at the Graduate Admissions Office Website. This system is self-guided and provides step-by-step instructions on information to be entered and documents to be submitted by applicants.
Once an applicant's electronic application folder is complete, the application system will notify the Department so we can evaluate it. When the Department has considered an application and made an admission decision, the application system will inform the applicant of the decision.
When a foreign student is accepted, the Graduate Admissions Office will inform the International Students and Scholars Office. Any questions regarding student visas should be directed to that office.
Please note that graduate credits in computer science from other institutions do not necessarily transfer into our MA program. Transfer of credits will be considered only when the credits were earned for a course that is equivalent to one of our program's courses or is at at least the same level as our program's courses. The total number of transfer credits cannot exceed 12.
The Department may provide some financial aid in the form of teaching assistantships to certain students. Master's students with demonstrated excellence can find out more about these opportunities through the Department office. In most cases, the amount of money provided by teaching assistantships is limited and will only partially offset the cost of tuition and living expenses. Those interested in other forms of financial aid should contact the Financial Aid Office.
Students who do not have a bachelor's degree from Queens College can earn the MA degree by satisfying the degree requirements that are stated below.
Students who have a bachelor's degree from Queens College must also satisfy these requirements to earn the MA degree, but they are subject to certain additional rules that disallow enrollment in some courses that may be very similar to advanced undergraduate courses they previously took: If you have a bachelor's degree from Queens College, contact Xiuyi Huang at xiuyi.huang@qc.cuny.edu for an explanation of these additional rules before you register for your first 700-level classes.
If you are required to take one or more undergraduate conditional courses, those courses are listed in your acceptance letter and their completion should be the first priority in your study plan. Students who have been assigned conditional courses must complete each of their conditional courses with a grade of at least B−, and must achieve a GPA of at least 3.0 in all of their conditional courses. Students who have not yet completed each of their conditional courses with a grade of at least B− or whose GPA in conditional courses is below 3.0 may take CSCI 700, 715, 722, or 744 when they satisfy the prerequisites for the course, but may not take any other 700-level course except as noted in the Registering for Courses section below.
Each student must complete (i.e., pass) at least 30 credits of 700-level courses (other than CSCI 788) and must earn a GPA of at least 3.0 in the 700-level courses s/he takes. Moreover, the completed courses must satisfy the following Core Course Requirements and Semi‑core Course Requirements:
Core Course Requirements. The completed courses must include the four Core courses, which are:
Exceptions: Students with a bachelor's degree from Queens College who passed CSCI 323 (Design and Analysis of Algorithms), 343 (Computer Architecture), 344 (Distributed Systems), or 381 (Computability and Complexity) with a grade of B+ or better are exempted from CSCI 700, 744, 715, or 722 respectively—but must still complete 30 credits of 700-level courses.
Semi‑core Course Requirements. The completed courses must include at least one Software Semi‑core course, and must also include at least one Mathematical Applications & Algorithms Semi‑core course. The Semi‑core courses are as follows:
Software Semi‑core Courses:
Every 700-level Computer Science course that is tagged as
Mathematical Applications & Algorithms Semi‑core Courses:
Every 700-level Computer Science course that is tagged as
The six courses used to satisfy the Core Course Requirements and the Semi‑core Course Requirements will provide 18 of the 30 700-level credits required for the MA. To earn the 12 additional credits that are needed, students may complete any other 700-level courses with the exception of the internship course CSCI 788.
Note: The Hardware Semi‑core and Capstone degree requirements stated in the CS Department's section of the Graduate Bulletin are not mentioned above because those two requirements are currently waived.
Please be sure that you have the necessary prerequisites for courses you wish to take.
All international students are required to take at least 9 credits each semester to maintain their F1 visa.
All international students are required to see an advisor at the International Students & Scholars Office.
All new students will register for Computer Science courses through the Department. You may email Computer Science course registration requests to Xiuyi Huang at xiuyi.huang@qc.cuny.edu . (Include your full name and CUNY ID as well as the course number and section.)
Students may register for Mathematics courses (MATH 120, 151, 152, 241) by contacting the Mathematics Department (Kiely 243, 718‑997‑5811, mathregistration@qc.cuny.edu).
Students who have been assigned conditional courses but have not yet completed each of their conditional courses with a grade of at least B− or whose GPA in conditional courses is below 3.0 may take any of the 700-level Core courses (CSCI 700, 715, 722, and 744) for which they satisfy the prerequisites, but may not take any non‑Core 700‑level course. Exceptions: Students who have completed all but at most two of their conditional courses with a grade of at least B− may request permission to take non‑Core 700‑level courses at the same time as the outstanding conditional course(s). Students who have completed all of their conditional courses with a grade of at least B− but whose GPA in conditional courses is below 3.0 may similarly request permission to take non‑Core 700‑level courses at the same time as a repeated conditional course. To request such permission (which may or may not be granted), send email to Xiuyi Huang at xiuyi.huang@qc.cuny.edu.
For more information, see the Requirements and Policies Regarding Grades section below.
When a course is shown as a prerequisite in the table below, all MA students who are not required to take that course as a conditional course are considered to satisfy that prerequisite.
| Course Number | Course Title | Prerequisites |
|---|---|---|
| MATH 151 | Calculus/Differential and Integration | None |
| MATH 152 | Calculus/Integration and Infinite Series | MATH 151 |
| MATH 120 | Discrete Mathematics for Computer Science | None |
| MATH 241 | Introduction to Probability and Mathematical Statistics | MATH 152 (this may be a corequisite) |
| CSCI 111 | Algorithmic Problem Solving I (in C++ or Java) | None |
| CSCI 211 | Object-Oriented Programming in C++ | CSCI 111 |
| CSCI 212 | Object-Oriented Programming in Java | CSCI 111 |
| CSCI 220 | Discrete Structures | MATH 120 and MATH 151 and CSCI 111 |
| CSCI 240 | Assembly Language and Computer Organization | CSCI 111 |
| CSCI 313 | Data Structures | CSCI 211 and CSCI 212 and CSCI 220 |
| CSCI 316 | Principles of Programming Languages | CSCI 240 and CSCI 313 and CSCI 320 |
| CSCI 320 | Theory of Computation | CSCI 220 |
| CSCI 340 | Operating Systems Principles | CSCI 240 and CSCI 313 |
When a course is shown as a prerequisite in the table below, all MA students who are not required to take that course as a conditional course are considered to satisfy that prerequisite.
| Course Number | Course Title | Prerequisites |
|---|---|---|
| CSCI 700 | Algorithms I | CSCI 220 and CSCI 313 |
| CSCI 715 | Distributed Computing | CSCI 220 and CSCI 340 |
| CSCI 722 | Computability and Complexity | CSCI 320 |
| CSCI 744 | Computer Architecture and Networks | CSCI 240 |
To be eligible for the MA degree in Computer Science you must be able to answer YES to questions 3 – 7 below, and you must also be able to answer YES to questions 1 and 2 if you were required to take one or more conditional courses.
Exceptions re Question 5: Students with a bachelor's degree from Queens College who passed CSCI 323, 343, 344, or 381 (Computability and Complexity) with a grade of B+ or better are exempted from CSCI 700, 744, 715, or 722, respectively, but must still complete 30 credits of 700-level courses.
Note: The Hardware Semi‑core and Capstone degree requirements stated in the CS Department's section of the Graduate Bulletin are not mentioned above because those two requirements are currently waived.
Students must satisfy the grade and GPA requirements that are stated below.
Grade and GPA Requirements for Conditional Courses: A student who is required to take one or more conditional courses must pass each of his/her conditional courses with a grade of at least B−, and must earn a GPA of at least 3.0 in all his/her conditional courses. (If the student's GPA in all his/her conditional courses is below 3.0, then the student's performance will be reviewed by the Department, which will determine whether the student should be allowed to continue, put on probation, or dismissed from the Program.) A student who has taken all the conditional courses they are required to take and also has a GPA of at least 3.0 in those courses may possibly be granted a waiver from the requirement to retake a conditional course in which they received a C+, but only if that course is the ONLY conditional course in which the student has not earned a grade of at least B-. Students who wish to be considered for such a waiver should email Xiuyi Huang (xiuyi.huang@qc.cuny.edu).
GPA Requirement for 700-level Courses: To be able to graduate, a student must have a GPA of at least 3.0 in all the 700-level courses s/he has taken. Students whose GPA in 700-level courses falls below 3.0 during the course of their study may be reviewed by the Department or the Graduate Studies Office and then placed on probation.
When a student receives a grade below B− in a conditional course, it is the student's responsibility to adjust his/her registration for the next semester as follows: DROP all courses s/he is no longer qualified for and RETAKE the conditional course(s) in which the grade earned was below B−.
In this connection, the Department may allow students to use the following "C corequisite rule": If the student received a C−, C, or C+ in a conditional course X, s/he may take any course for which the course X is a prerequisite PROVIDED THAT the course X is retaken in the same semester.
The Department will not be responsible for problems students may encounter as a result of their failure to properly adjust registrations after receiving a grade below B− in a conditional course, and reserves the right to adjust students' registrations whenever unsatisfactory grades are found.
The College has the following grade replacement policy for graduate courses taken by graduate students (which is quoted from p. 29 of the 2020–21 Graduate Bulletin):
As of September 1, 2014, graduate students are entitled to the following grade-replacement policy, which is limited to graduate courses: With the exception of courses that have been designated as repeatable for credit, graduate students may repeat only four credits for grade replacement within any one graduate program and only for a course receiving a grade of F or WF. The last grade received replaces the previous grade in the cumulative GPA.
NOTE: CSCI 780s with differing topics are DISTINCT COURSES. This means that taking more than one CSCI 780 with differing topics is NOT "repeating" CSCI 780 — their grades would all count in your GPA, and the above grade replacement policy would not apply. The same is true for CSCI 799s.
IMPORTANT: The above-mentioned grade replacement does NOT happen automatically. A student who is entitled to grade replacement after repeating a 700-level course that was previously failed must inform the CS Department of the grade earned in the repeated course by sending email to Xiuyi Huang (xiuyi.huang@qc.cuny.edu), who will then ask the College to perform grade replacement.
Supplementary to the above, the Department has the following policy regarding conditional courses:
A graduate student who has repeated just one or just two conditional courses is entitled to have grade replacement applied to the repeated conditional course(s). When grade replacement is applied to a repeated conditional course, the student's GPA in conditional courses is computed as if they had taken that course just once and earned the grade that was earned the last time they took the course. A graduate student who has repeated more than two conditional courses is entitled to have grade replacement applied to two of those courses.
If you have questions about the MA program (or the Accelerated MA program for Queens College CS undergraduates), please contact Xiuyi Huang (xiuyi.huang@qc.cuny.edu).