Rutgers–Camden offers an Masters program in Computer Science with a concentration in Scientific Computing. It is designed to prepare students for careers in data-intensive science, engineering, or finance fields. The program provides a strong foundation in algorithms and programming relevant to current and emerging computational applications.
Through rigorous coursework and an optional project or thesis, students will:
- develop theoretical understanding and practical skills to tackle diverse computational problems in industry and academia, such as big-data analytics, modeling proteins for drug discovery, mining massive internet transaction datasets for business decision support systems and forecasting ecosystem behavior for sustainable management
- be prepared for career opportunities in companies and organizations where scientific computing and data science play an important enabling role, for example, in biotechnology, telecommunications, finance, and scientific research
The program also aims to provide graduates with a strong foundation in theory and algorithms to pursue further educational opportunities in PhD programs in science and engineering at leading academic institutions in the U.S. and internationally.
The Masters 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 3 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.
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 MS program.
The MS program is designed to be completed in three to four semesters of full-time study, but may also be completed in two semesters of intensive study or in five to six semesters of part-time study. The sample timetables suggested below use the thesis option; students that opt for the coursework or project options can modify the courses accordingly.
Typical three-semester timetable for student with CS background:
Typical four-semester timetable for student with CS background:
Typical four-semester timetable for student without CS background:
- 56:198:541 Parallel, Distributed, Grid, and Cloud Computing (3 credits)
- 56:198:581 Numerical Methods (3 credits)
- Thesis (3 credits)
- 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 six 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 six additional credits through course work. In this case, the requirement that no more than 9 credits with grades of C or C+ are counted towards the Master’s degree implies that 27 of the 30 non-thesis credits must have a grade of B or better.
Funding and Tuition
We offer highly-competitive scholarships of up to $5,000 to the best applicants to the program each year. More information on tuition and other funding opportunities is available at the Rutgers Graduate and Professional Admissions website.
Computer Science Graduate Program Director
Phone: (856) 225-6122
Department of Computer Science
227 Penn Street, Room BSB-322
Rutgers, The State University of New Jersey
Camden, NJ 08102
Phone: (856) 225-6077
Fax: (856) 225-6624