Rutgers, The State University of New Jersey
Graduate School-Camden
 
About the University
Graduate Study at the University
Financial Aid
Student Life
Student Programs and Services
Academic Policies and Procedures
Degree Requirements
Graduate School-Camden
Actuarial and Statistical Analysis
Applied Computing
Biology 120
Biology, Computational and Integrative 121
Business and Science 137
Chemistry 160
Childhood Studies 163
Computer Science 198
Program
Admission Requirements
Degree Requirements
Scholastic Standing
Graduate Courses
Creative Writing 200
Criminal Justice 202
English 350, 352, 354, 615, 842
Forensic Science 412
History 512
Industrial Mathematics
Liberal Studies 606
Mathematical Sciences 645
Psychology 830
Public Administration 834, 831
Public Affairs 824
Teacher Education 956
World Languages and Cultures 410
Rutgers School of Business-Camden
School of Nursing-Camden
School of Social Work: Master of Social Work (M.S.W.) Program
Divisions of the University
Camden Newark New Brunswick/Piscataway
Catalogs
  Camden Graduate Catalog 2019-2021 Graduate School-Camden Computer Science 198 Degree Requirements  

Degree Requirements


The master of science (M.S.) program requires the completion of 30 credits with the following options:

Coursework option: All 30 credits obtained through coursework alone. Students using this option must complete a comprehensive examination in three subject areas chosen after consulting with the graduate director.

Project option: 27 credits of coursework and the completion of a master's project (3 credits) under the guidance of a faculty member.

Thesis option: 24 credits of coursework and the completion of a two-semester-long sequence of master's thesis (3+3 credits) under the guidance of a faculty member.

Coursework consists of a common core of four required courses that focus on scientific computing applications and, depending on the option chosen, between four to six elective courses. With prior approval from the graduate director, students may take up to two relevant elective graduate courses either from other departments at Rutgers University, or from other schools at Rutgers, reflecting the interdisciplinary emphasis of the program and the interdisciplinary trends driving modern computer science.

Admitted students whose undergraduate degrees are not in computer science, will be required to take up to two background (deficiency) courses on programming and data structures/algorithms if they have not taken equivalent courses in their bachelor's degrees. Credits from deficiency courses do not count toward the 30 credits required for the M.S. program.

Core courses (four courses, 12 credits)
56:198:541  Parallel, Distributed, Grid, and Cloud Computing (3)
56:198:561  Optimization Methods (3)
56:198:562  Big Data Algorithms (3)
56:198:581  Numerical Methods (3)
Elective courses (four to six courses, 12-18 credits)

The following courses may be taken as elective courses for the M.S. program. Note: Students will only be permitted to transfer 6 credits of graduate coursework in courses taken outside of the Graduate School-Camden (school code 56).

Graduate School-Camden

56:198:523  Software Engineering
56:198:551  Database Systems
56:198:556  Computer Graphics
56:198:567  Applied Probability
56:198:573  Computational Geometry
56:198:576  Theory of Computation
56:198:581  Numerical Methods
56:198:697  Computer Science Internship
56:121:550  Bioinformatics
56:121:555  Cheminformatics

School of Business-Camden

53:716:502  Business Analytics
53:716:504  Management Science

School of Arts and Sciences-New Brunswick

01:198:424  Modeling and Simulation of Continuous Systems
01:198:425  Computer Methods in Statistics

School of Graduate Studies-New Brunswick

16:198:504  Computational Modeling
16:198:527  Computer Methods for Partial Differential Equations
16:198:530  Principles of Artificial Intelligence
16:198:533  Natural Language Processing
16:198:534  Computer Vision

*Other: Other 500-level and above courses offered at any of the Rutgers campuses, when approved on a case-by-case basis by the graduate director.

Project (3 credits)

Students will design, implement, and demonstrate a significant software project under the supervision of a faculty adviser.
56:198:693  Masters Project
Background (deficiency) courses
56:198:500  Introduction to Programming for Computational Scientists (3)
56:198:501  Data Structures and Algorithmic Problem Solving in Python (3)
Thesis (6 credits)

Students will conduct a research project and write a master's thesis under the supervision of a faculty adviser. Thesis work will be carried out over two consecutive semesters (3 credits per semester). At the end of the second semester, the thesis and an oral presentation of the thesis project will be assessed by a committee of graduate faculty members.
56:198:701  Research in Computer Science
56:198:702  Research in Computer Science


Graduation Requirements

Minimum of 30 credits to be completed, which may include 3 project credits or 6 thesis credits if the corresponding option is chosen.

Grade Requirements: To graduate, the student must receive a cumulative GPA of 3.0 or better in the required 30 graduate credits. No more than 9 credits with grades of C or C+ may be used in meeting the requirements of the master's degree.

Thesis Requirements: The 6 thesis credits must receive a grade of B or better. All thesis work must be completed and defended by the end of the second semester of registration for thesis credits. In the event that the thesis defense in not successful, the candidate will be granted a one month extension to complete and defend the thesis again. If the second attempt is also unsuccessful, the candidate will receive a C grade on all 6 thesis credits. The candidate will then have the option of completing 6 additional credits through coursework. In this case, the requirement that no more than 9 credits with grades of C or C+ are counted toward the master's degree implies that 27 of the 30 nonthesis credits must have a grade of B or better.

 
For additional information, contact RU-info at 848-445-info (4636) or colonelhenry.rutgers.edu.
Comments and corrections to: Campus Information Services.

© 2019 Rutgers, The State University of New Jersey. All rights reserved.
Catalogs Home