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Computer Science Minor

You develop knowledge and skills in the area of computer science, machine learning, artificial intelligence, and mathematics, establishing a broad knowledge base that will allow you to pursue further study in these specialized areas. 

The Department of Mathematics and Computer Science is dedicated to the preparation of students for a dynamic future. Our faculty develop curricula that will challenge your curiosity, employ your inventive facilities, and allow you to enjoy the triumph of discovery. We follow Euclid's rigorous approach to mathematics while exploring modern topics like sustainability.

Our faculty are active researchers who provide an outstanding learning environment for students. Their research interests are diverse and include pure mathematics, applied mathematics, computer science, functional analysis, algebra, differential geometry, and topology. 

Degree Type
Minor
Area of Interest
Computing & Technology
Associated Colleges or Schools
Program Location
  • Queens Campus
Required Credit Hours
15

Courses

Required

CSC 1400; 1410 Computer Science I; II

Electives (three chosen):

CSC 1350 Commercial Computing
CSC 1470 Advanced Programming
CSC 2420 Logical Design and Computer Architecture
CSC 2430 Computer Organization
CSC 2440 Compiler Design
CSC 2450 Programming Languages
CSC 2460 Simulation
CSC 2470 Operating Systems
CSC 2480 Algorithms and Data Structures
CSC 2490 Databases
CSC 2500 Data Security and Cryptography
CSC 2580 Design and Analysis of Algorithms
CSC 2590 Introduction to Machine Learning
CSC 2640 Networking I-TCP/IP
CSC 2720 Computability and Automata

Only academic programs approved by NYSED are eligible for federal and state aid: NYS Inventory of Registered Programs http://www.nysed.gov/heds/IRPSL1.html.  Minors are not recognized by NYSED therefore associated courses are only eligible for federal or state aid consideration when required by a major or when also used to satisfy a core or general elective requirement.

The minor is not accredited by ABET.

Contact Us

David Rosenthal

Professor

Chair

St. John Hall, Room 334 C

718-990-2338

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