Master of Science

Prerequisites

Completion of the following courses, or their equivalents, is prerequisite to entry into the program: CSC120, CSC220, CSC314, CSC517, CSC527, MTH111, MTH224, and MTH309. Students may be admitted with deficiencies; these must be completed in addition to the degree requirements.

Requirements

Students must complete either the thesis option or the coursework option.

  1. Thesis option:
    • CSC710 - Master’s Thesis (6 credits)
    • One of:
      • 9 credits from CSC6XX courses and 15 credits from other approved courses.
      • 6-8 credits from CSC6XX courses and 19-21 credits from other approved courses.
      • 3-5 credits from CSC6XX courses and 25-27 credits from other approved courses.
  2. Coursework option: 36 credits of approved courses, including at least 18 credits from CSC6XX courses.

At least 18 credits, exclusive of the thesis credits, must be earned in courses offered by the Department of Computer Science.

Each program must include both theoretical and experimental topics. Recommended subjects include Operating Systems, Programming Languages, Analysis of Algorithms, Theory of Computation, and Computer Architecture or Software Development. The approval is by the Computer Science Graduate Committee and the Department Chairman or designate. Programs may thus be individually tailored to meet varied backgrounds and objectives. It is recognized that there are still individuals with undergraduate degrees in other fields wishing to pursue graduate work in Computer Science, and other individuals with work experience in the field wishing to advance their formal training in Computer Science.

Approved Courses

The basic guidelines for approval of a student’s program are recommendations appearing in the Communications of the Association for Computing Machinery (ACM), the professional society in Computer Science. All Computer Science 500 level and 600 (graduate) level courses can be included in an M.S. program. In addition, the following non-Computer Science graduate courses may be considered for approval in completing the requirements for a degree:

  • CIS620 - Information Systems Analysis and Design
  • EEN514 - Computer Architecture
  • EEN532 - VLSI Systems
  • EEN534 - Computer Communication Networks
  • EEN538 - Introduction to Digital Image Processing
  • EEN548 - Machine Learning
  • EEN572 - Object-Oriented and Distributed Database Management Systems
  • EEN614 - Advanced Computer Architecture
  • EEN634 - Modelling and Analysis of Computer Networks
  • EEN638 - Computer Vision
  • EEN650 - Fault Tolerant Computer Design
  • EEN656 - Information Theory
  • MTH509 - Discrete Mathematics II
  • MTH520 - Numerical Analysis I
  • MTH521 - Numerical Analysis II
  • MTH524 - Introduction to Probability Theory
  • MTH525 - Introduction to Mathematical Statistics
  • MTH526 - Time-Series Analysis
  • MTH528 - Combinatorics
  • MTH621 - Mathematical Probability
  • MTH638 - Stochastic Processes

Interdepartmental Ph.D.

The Interdepartmental Ph.D. program is administered by the Graduate School of the university. Requests for information, and applications for admission, must be directed to the Graduate School. Information about the program may be found in the Graduate Bulletin, p.261.

Student Information

Financial Aid

Teaching assistantships are available, with a stipend of $16000-$17000 for nine months, and waiver of tuition fees. Graduate assistantships are also available through the Office of Academic Development.

Cost of Study

For the academic year 2006-2007, tuition is $1220 per graduate credit. For full-time students (taking 9 credits or more), the health, student activity, and guidance fees total approximately $1000 per semester.

Cost of Living

For the 2006-2007 academic year, total living expenses are approximately $17750. Housing for graduate students in available both on and off campus. The available on-campus housing consists of a limited number of 3-bedroom apartments with full kitchens & living rooms (single and double bedroom occupancy) as well as residential college efficiency rooms with small kitchenettes. Off-campus housing is also available - a limited on-line listing of available off-campus housing is maintained by the Office of Commuter Student Affairs

Student Group

The University currently enrolls approximately 13000 students, in which more than 3200 are graduate students. All 50 states and over 100 foreign countries are represented.

Research Facilities

Computer facilities at the University of Miami are housed in the Ungar Computing Center, in the Hertz Computer Laboratory, and in residential colleges. In the Department of Computer Science, all graduate students have unlimited access to instruction laboratories, containing Linux workstations, SUN workstations, and PCs, for supporting research and developing projects of the graduate students and faculty. A LAN connects the departmental computing facilities together, and links them with the outside world via the Internet.

The University library system has holdings of 2 million volumes plus 3 million microfilm items, including a comprehensive collection of books and journals in computer science.

Applying

Graduate study may begin any semester. Most assistantships are awarded prior to the fall semester, although applications will also be considered for the spring semester. Fellowship awards are made in February; to be considered for these, students must submit completed applications, including official scores on the General Test of the Graduate Record Examinations. We accept online applications.

Deadlines

Admission Deadline:

  • US applicants: Fall - August 1, Spring - December 1
  • International applicants: Fall - June 1, Spring - November 1

Teaching Assistantship Deadline:

  • Fall - February 1, Spring - November 1

Correspondence and Information

You can request a hard copy of information about our program and application materials by writing to:

Dr. Dilip Sarkar, Director of Graduate Studies
Department of Computer Science
University of Miami
P.O. Box 248154
Florida 33124-4245
Telephone: 305 284-2268
Fax: 305 284-2864
Email: csgrad _at_ cs.miami.edu
Web: http://www.cs.miami.edu
cs/programs/graduate.txt · Last modified: 2006/05/10 13:56 by burt
 
 
 
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