The Rutgers master’s degree in Scientific Computing is designed to prepare students with computational training for careers in science, engineering, and finance. The program provides a strong foundation in algorithms and programming relevant to current and emerging computational applications. The program is offered by the Department of Computer Science at Rutgers–Camden and draws on courses from other Rutgers departments and centers, including the Rutgers Center for Computational and Integrative Biology (CCIB), reflecting the interdisciplinary emphasis of the program and the interdisciplinary trends driving modern computer science.
Through rigorous coursework and a thesis, students will:
- develop theoretical understanding and practical skills to tackle diverse computational problems in industry and academia, from modeling proteins for drug discovery to mining massive internet transaction datasets for business decision support to forecasting ecosystem behavior for sustainable management
- be prepared for career opportunities in companies and organizations where scientific computing plays an important enabling role, for example, in biotechnology, telecommunications, finance, and scientific research
The program will also provide graduates with a strong foundation in theory and algorithms to enable them to pursue further educational opportunities in PhD programs in science and engineering at leading academic institutions in the U.S. and internationally.
The MS in Scientific Computing requires 30 credits, of which 6 credits are thesis credits. The coursework consists of a common core of 4 required courses that relate to all scientific computing applications and 4 elective courses that focus on specific applications.
For students whose background is not in computer science, two background courses are available. These background courses are not required for students who have taken equivalent courses in their bachelor’s degrees. Credits from background courses do not count toward the 30 credits required for the MS in Scientific Computing.
The MS in Scientific Computing 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.
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)
- 56:198:562 Big Data Algorithms (3 credits)
- Thesis (3 credits)
- Minimum of 30 credits to be completed, which must include 6 thesis credits.
- 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 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
Tel: +1 (856) 225-6122
Department of Computer Science
227 Penn Street, Room BSB-322
Rutgers, The State University of New Jersey
Camden, NJ 08102
Tel: +1 (856) 225-6077
Fax: +1 (856) 225-6624