The Computer Science Program will enable students to become knowledgeable in the design of software and in the modern mathematics that can be applied to all aspects of software design, development and verification. At the end of the program Students will have gained; An appreciation of the foundations of computation; An understanding of the structure of programming languages; The skills to put these concepts and technologies into practice and know enough about hardware to develop its potential to the fullest.
Associate of Science Degree – Computer Science
The Associate of Science Degree in Computer Science (A.S.-C.S.) will enable our students to develop an understanding of programming, software design and database management systems, web development, network protocols and how the Internet works. Additionally, students will become knowledgeable in college-level mathematics and will enhance their command of critical thinking, ethical principles and social responsibility. The program provides preparation for entry level positions in the computing industry and completion of a Bachelor of Science Degree in Computer Science.
Bachelor of Science Degree – Computer Science
The Bachelor of Science Degree in Computer Science (B.S.-C.S.) is designed to graduate a computer science professional with competency in current computer technology. The diverse practical and theoretical knowledge covered in the program includes programming and mathematics fundamentals, software structure, information systems and operating systems. The program prepares students for a wide range of industries and careers in the computer industry, as well as for graduate studies in a related field.
Years 1 and 2 curricula are currently identical to the Associate Degree Program in Computer Science.
Dr. ALEXANDER TUZHILIN, Dean, Department of Computer Science
Dr. Alexander Tuzhilin is the Dean of Computer Science at University of the People and Professor of Information Systems at the Stern School of Business, New York University (NYU).
Published in journals and conference proceedings including AMC, IEEE and INFORMS, Dr. Tuzhilin’s research on knowledge discovery in databases (data mining), personalization and recommender systems has been supported by NFS, Morgan Stanley, Pfizer and the Centers for Advanced Technologies and Research Information Systems at NYU. His work has also been covered by The New York Times, Computer World and Businessweek.
In addition to NYU, Dr. Tuzhilin has held visiting positions at The Wharton School of the University of Pennsylvania, Columbia University and École Nationale Superieure des Tellecommunications in Paris, and served on the editorial boards of journals and conferences including the IEEE International Conference on Data Mining (2003) and 3rd ACM Conference on Recommender Systems (2009).
Prior to joining Stern in 1989, Dr. Tuzhilin earned a Ph. D. in Computer Science from the Courant Institute of Mathematical Sciences, also part of NYU.
