|
The Master of Science in Computer Science provides intensive preparation in the concepts and techniques related to the design, programming, and application of computing systems. Students are provided a deep understanding of both fundamentals and important current issues in computer science and computer engineering so that they may either obtain productive employment or pursue advanced degrees.
The M.S. in Computer Science program requires the student to take a broad spectrum of courses, while simultaneously allowing for emphasis in desired areas of specialization. In addition to earning the general Master of Science in Computer Science, students also have a selection of choosing a specialization:
- Bachelor of Science degree in computer science, mathematics or engineering from a regionally-accredited college or university.
- Satisfactory results on the general Graduate Record Examination (GRE). The Advanced Computer Science, Mathematics, or Engineering Area Test is recommended but not required. Tests over 5 years old will not be considered.
- Substantial background in computing (the equivalent of the following USC undergraduate courses constitutes a minimum requirement):
- CSCI 101: Fundamentals of Computer Programming
- CSCI 102: Data Structures
- CSCI 201: Principles of Software Development
- EE 101: Introduction to Digital Logic
- EE 357: Basic Organization of Computer Systems
- Applicants must also have completed several courses in college level mathematics (at minimum one discrete mathematics course and one year of calculus). Students lacking these prerequisites must complete them at other institutions before applying to USC.
- Intellectual promise indicating the ability to perform high level graduate work in a rigorous academic environment.
- International students whose native language is not English must earn a satisfactory score on the TOEFL (600 on the paper-based test; 250 on the computer-based test) or take the on-campus International Student English Examination (ISE) prior to initial registration.
ADMISSION STATISTICS**
- Average undergraduate cumulative GPA of students newly enrolled in USC graduate engineering programs is 3.37 (4.00 scale)
- Average GRE scores of students newly enrolled in USC graduate engineering programs is Quantitative 749 and Verbal 478
** These scores are averages. Students with scores both above and below these averages were both admitted and not admitted. The Viterbi School reviews all applications comprehensively and evaluates applicants on the entire application file with an emphasis on undergraduate institution, GPA, grades earned in pre-requisite courses and GRE scores.
A minimum of 27 units is required for the M.S. in Computer Science degree.
- Required Courses: 9 units
- Electives from EE or Computer Science: 18 units
- A maximum of 9 units of approved 400 level EE or CSCI elective courses may be taken; remaining units must be approved 500 or 600 level courses.
- Please consult and receive approval from a Computer Science graduate advisor before enrolling in elective courses
- A minimum cumulative GPA of 3.00 is required for graduation
Thesis Option: With the approval of a supervising professor, qualified students may be allowed to pursue a thesis option. For more information, please refer to the USC Catalogue.
Required Core Courses (9 units)
Course |
Units |
| CSCI570 - Analysis of Algorithms |
3 |
Select one of the following.
|
CSCI551 - Computer Communications
|
3
|
Units: 3
Course Description: Advanced issues in computer organization, naming, kernel design, protection mechanisms and security policies, reliable computing, data base OS, secure networks, systems specification, decentralized systems, real time systems. Prerequisite: CSCI 402.
|
|
CSCI555 - Advanced Operating Systems
|
3
|
Units: 3
Course Description: Foundations of symbolic intelligent systems, search, logic, knowledge representation, planning, learning. Recommended preparation: good programming and algorithm analysis skills.
|
Units: 4
Course Description: Formal grammar; parsing methods and lexical analysis; code generation; local and global code optimization; and dynamic allocation. Prerequisite: CSCI 455x.
|
|
CSCI571 - Web Technologies
|
3
|
Units: 3
Course Description: Advanced study of programming languages with application to the Web. Languages for client-side and server-side processing. Examples taken from: HTML, Java, JavaScript, Perl, XML and others. Recommended preparation: knowledge of at least two programming languages.
|
|
CSCI573 - Advanced Artificial Intelligence (or CSCI 561)
|
3
|
Units: 3
Course Description: Advanced topics in AI, covering reasoning under uncertainty, decision theory, knowledge-based and inductive learning. Recommended preparation: a previous undergraduate or graduate level course in AI. (Duplicates credit in former CSCI 561b.)
|
|
CSCI577a - Software Engineering
|
4 |
Units: 4
Course Description: a: Software life cycle processes; planning considerations for product definition, development, test, implementation, maintenance. Software requirements elicitation and architecture synthesis. Team project.
|
|
CSCI585 - Database Systems
|
3
|
Units: 3
Course Description: Database system architecture; conceptual database models; semantic, object-oriented, logic-based, and relational databases; user and program interfaces; database system implementation; integrity, security, concurrency and recovery. Prerequisite: CSCI 485 or departmental approval.
|
|
EE557 - Computer Systems Architecture
|
3
|
Units: 3
Course Description: Comparative studies of computer system components: the CPU, memory, and I/O; analytical modeling techniques to allow comparative evaluation of architectures; parallelism and supercomputers. Prerequisite: EE 457Lx.
|
Select one of the following.
Course |
Units |
Units: 3
Course Description: Advanced issues in computer organization, naming, kernel design, protection mechanisms and security policies, reliable computing, data base OS, secure networks, systems specification, decentralized systems, real time systems. Prerequisite: CSCI 402.
|
| CSCI561 - Foundationsof Artificial intelligence |
3 |
Units: 3
Course Description: Advanced issues in computer organization, naming, kernel design, protection mechanisms and security policies, reliable computing, data base OS, secure networks, systems specification, decentralized systems, real time systems. Prerequisite: CSCI 402.
|
| CSCI564 - Brain Theory and AI |
3 |
Units: 3
Course Description: Advanced issues in computer organization, naming, kernel design, protection mechanisms and security policies, reliable computing, data base OS, secure networks, systems specification, decentralized systems, real time systems. Prerequisite: CSCI 402.
|
| CSCI574 - Computer Vision |
3 |
Please note that the courses listed above are those available via DEN. Additional course choices are available on campus. Please consult the department website for the complete list of options.
In order to evaluate any application for admission, application materials must be submitted by the deadlines listed:
June 15th Fall admission
October 1st Spring admission
Click here to complete the USC graduate application.
Please arrange to have the following sent to the USC Office of Admission as a hard copy (USC Graduate Office of Admission, University Park Campus, Los Angeles, CA 90089-0915):
- Official Transcript(s) from all post-secondary schools you have attended, and official translations if they are not in English.
- General GRE scores (no older than 5 years). Official scores must be sent through ETS to the University of Southern California, ETS code 4852)
- TOEFL scores (required for international students)
NOTE: If you meet our minimum qualifications, you can get started BEFORE you are formally admitted to USC, as a "LIMITED" student! Click here for more information.
For the USC Computer Science Department:
Student Services Advisor
Computer Science
Tel: (213) 740-4494
Fax: (213) 740-7285
Email: csdept@cs.usc.edu
For the USC Distance Education Network (DEN):
Ray Fujioka
Master's and Professional Programs [MAPP]
Tel: (213) 740-4488
Fax: (213) 821-0851
Email: info@den.usc.edu
|