Graduate Pathway in Computer Science (1-Semester) Leading to Master of Science in Computer Science

INTO Group - Hofstra University

USA,New York

 0 Shortlist

24 Months

Duration

CAD 24,380/year

Tuition Fee

CAD 70 FREE

Application Fee

Apply Date

USA, New York

Type: University

Location Type: Semi-Urban

Founded: 1935

Total Students: 11,131 +

Int. Students: 932 +

Campus Detail

Main Campus Address

1000 Hempstead Turnpike, Hempstead, NY 11549, United States

Graduate Pathway in Computer Science (1-Semester) Leading to Master of Science in Computer Science

Program Overview

An INTO Hofstra Graduate Pathway program in Computer Science will prepare you to enter your next semester of a master’s degree program at Hofstra University. Upon successful completion of the Pathway program and meeting university requirements for graduate admission, you may enter your next semester of graduate study at Hofstra University. This transition from an INTO Hofstra program to a university degree program is called progression.

Computer Science
The objectives of the program are twofold: (i) to develop highly qualified professionals capable of adapting with ease to the dynamic field of computing; and (ii) to prepare students interested in pursuing doctoral studies in computer science or related fields. The program provides a strong base in the fundamental areas of computer science, such as algorithms, operating systems and programming languages. In addition, the program offers a large number of electives in important areas such as networking, security, web and mobile application development, and parallel and distributed computing. Students interested in applied computer science may select a concentration either in Web Engineering or Networking and Security. Students may also select a focus in their own particular area of interest by choosing elective courses and/or up to two independent study/research courses under the close supervision of a faculty expert. Faculty fields of expertise include computer vision, artificial intelligence, data mining, software engineering, security, cognitive neuroscience, computational algebra, and logic and programming languages.

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