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MS in Computer Science Take your education, experience, and career to places you may never have imagined. This MS program is built on a foundation encompassing internet and web computing, grid and cloud computing, and database systems. Students pursue an in-depth concentration in one or more high-demand areas, including cybersecurity, mobile app development, artificial intelligence, network security, and web security. All technology courses support hands-on training using virtualization, so students can practice on realistic enterprise systems on any computer. Tailored curriculum—Designed to accommodate both students who are new to the field, as well as those with undergraduate computer science degrees. Practice and publish—Conduct leading research with Seidenberg faculty, present at professional conferences, and publish in highly regarded journals. Expert faculty—Our faculty comes from various backgrounds including biometrics, mobile app development, robotics, artificial intelligence, soware engineering, cybersecurity, mobile forensics, and more. International experience—Take part in incredible class projects or school study projects around the globe, including countries like Senegal, Brazil, Finland, India, and Germany. Visit www.pace.edu/GradApply to learn more and access our online application. The GRE is not required for admission. How to Apply CORE REQUIREMENTS (12 credits) CS 608 Algorithms and Computing Theory 3 CS 610 Introduction to Parallel and Distributed Computing 3 CS 612 Concepts and Structures in Internet Computing 3 CS 623 Database Management Systems 3 CONCENTRATION OPTIONS OR FREE ELECTIVES (9 credits) Students who study on the New York City Campus may choose to pursue an in-depth concentration consisting of a 3-course, 9-credit sequence. Suggested concentrations include: Artificial Intelligence • Internet Computing • Mobile Computing • Network Security COMPUTER SCIENCE ELECTIVES (3-12 credits) Students pursuing a 9-credit concentration can select one additional course from the list below. Students not pursuing a concentration will choose courses from this list to achieve 12 credits. CS 600 Independent Study 1-4 CS 607 Simulation & Computer Network Analysis 3 CS 611 Principles of Programming Languages 3 CS 617 Game Programming 3 CS 620 XML Application Development 3 CS 628 Automata and Computability 3 CS 629 Computer Graphics 3 CS 632V Introduction to Big Data Analytics 3 CS 633 Data Communications and Networks 3 CS 636 Optical Communications and Networks 3 CS 637 Wireless Communications 3 CS 648 Enterprise Computing 3 CS 657 Windows System Programming 3 CS 659 Human Computer Interaction 3 CS 660 Mathematical Foundations of Analytics 3 CS 663 Human Factors and Usability Metrics 3 CAPSTONE PROJECT (6 credits) Students are required to select one of the following two options CS 691/CS 692 Computer Science Project I and II 6 CS 693/CS 694 Thesis I and II 6 TOTAL CREDITS 30 Bridge Courses: Students with limited or no background in computer science or programming may be required to take up to 9 credits of bridge courses, which do not count toward the degree. For more information please refer to our website. DEGREE REQUIREMENTS (Duration of program: 2 years) A program for every stage of your career, at a pace that works for you. Other programs you might consider: MS Information Systems, MS Internet Technology, PhD Computer Science For information on all other Seidenberg master's-level degrees, please visit www.pace.edu/SeidenbergGrad. Scholarships and Financial Aid At Pace, we offer our graduate students a variety of options to help finance their education. In addition to scholarships and student loans, Pace also contributes with work-study programs and graduate assistantships. Learn more about the different programs Pace uses to help graduate students at www.pace.edu/Grad-Aid. BY SUBMITTING YOUR APPLICATION, YOU ARE ALSO AUTOMATICALLY CONSIDERED FOR A MERIT SCHOLARSHIP.