MSCS Admission Requirements
Applications for admission to the master's program are approved by the University upon the recommendation of the Department of Computer and Electrical Engineering and Computer Science. All applicants must submit with their applications the official transcripts from previous institutions attended and have official GRE (Graduate Record Examination) scores forwarded to the University. Applications for admission are evaluated on an individual basis. As a minimum, applicants are expected to meet the following requirements:
A baccalaureate degree in computer science or a related field. Students who do not have a computer science background will be expected to take additional courses.
At least 3.0 (of a 4.0 maximum) Grade Point Average (GPA) in the last 60 credits attempted prior to graduation.
A combined score (verbal + quantitative) of at least 295 on the Graduate Record Examination (GRE). GRE scores more than five years old are normally not acceptable. The GRE requirement is waived for any student who has a baccalaureate degree from FAU's Department of Computer & Electrical Engineering and Computer Science with a GPA of at least 3.25 (out of a possible 4.0) in the last 60 credits attempted prior to graduation; and
International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).
Prerequisite Courses for Master of Science in Computer Science
|Structured Computer Architecture or
Introduction to Microprocessors or
CAD-Based Computer Design
|3 or 4|
|Data Structures and Algorithm Analysis||COP 3530||3|
|Computer Operating Systems||COP 4610||3|
|Design and Analysis of Algorithms||COT 4400||3|
|Calculus with Analytical Geometry 1||MAC 2311||4|
|Calculus with Analytical Geometry 2||MAC 2312||4|
|Stochastic Models for Computer Science (Probability and Statistics)||STA 4821||3|