Contact Information

Department Chair
Desmond Lun

Department Secretary
Kelly Esterly

Undergraduate Program Coordinator
Jean-Camille Birget

Graduate Program Director
Suneeta Ramaswami

Student Spotlight

Computer Science Department Launches Research Academy

IMG_4328-bannerContinuing its strong tradition of supporting undergraduate research, the Rutgers University–Camden Department of Computer Science has launched the Computer Science Research Academy this fall. If accepted into the program, undergraduate students are eligible to receive research grants, funded by various departments and faculty at Rutgers–Camden, with the requirement that they work 8 to 10 hours […] Read more ...

Home » Graduate » Master of Business & Science (MBS) in Applied Computing

Master of Business & Science (MBS) in Applied Computing

What is the Master of Business & Science (MBS) degree?

The MBS degree is a combination of an MS and a MBA degree (see Students in this program choose a particular science concentration, accompanied by a business curriculum. The science concentration consists of 24 credits and the curriculum is set by the unit off ering the concentration. The business curriculum consists of 19 credits and is almost completely prescribed (see for details). Students do not write a thesis and are expected to do a Capstone project.

The Department of Computer Science in Rutgers-Camden o ffers a concentration in Applied Computing. This program is tailored to students that are interested in a more applied program than the traditional MSCS degree program, who seek the Master’s as a terminal degree that will o ffer better opportunities for them in industry. This program is also suitable for working professionals that have some kind of scientific training and want to improve their computational skills, but feel they do not qualify to apply to the MSCS program because their undergraduate degree is not in CS. The target candidate for this program is someone with a science or engineering background, seeking professional training in computing skills that are most applicable in industry. An undergraduate degree in Computer Science is not a requirement to apply to the program.

Admission requirements

  • A bachelors degree in any basic science or engineering fi eld, with a GPA of at least 3.0 (a B average). Original transcripts are required.
  • The following background in basic Mathematics is required:
    • Calculus (the equivalent of the calculus sequence 50:640:121, 122) and one or more other Math courses. Some examples are Probability and Statistics (the equivalent of 50:960:283, 284 or 50:960:336), Linear Algebra (the equivalent of 50:640:250), and Discrete Math (the equivalent of 50:640:237 or 50:198:171).
    • Applicants with an inadequate background must remove all de ficiencies (by taking the equivalent undergraduate courses), before being considered for admission.
  • Satisfactory performance on the GRE General (Aptitude) Test (original reports required).
  • Three letters of recommendation (see the application forms).
  • An academic and professional resume and a personal statement (at most one page long) about the candidate’s motivation for seeking an MBS degree in Applied Computing.
  • For applicants whose native language is not English, satisfactory performance on the TOEFL.
  • Optionally, other supporting information, such as work or academic experience.


Applied Computing

All students first take courses that provide a strong foundation in programming and algorithms relevant to current and emerging computational applications. Non-CS majors are required to take two background courses to acquire basic programming skills. In addition, students must take at least three of fi ve core courses that relate to a wide range of science and engineering applications. In addition to these requirements, a total of 8 courses (24 credits) must be taken.

Required (non-CS) Introduction to Programming for Computational Scientists (56:198:500) Does not count towards degree.
Introduction to Algorithms for Computational Scientists (56:198:501) 3 credits
Required Big Data Algorithms (56:198:562) 3 credits
Core Courses
  • Parallel, Distributed, Grid, and Cloud Computing (56:198:541)
  • Optimization Methods (56:198:561)
  • Numerical Methods (56:198:581)
  • Software Methodology and Engineering (56:198:523)
  • Database Systems (56:198:551)
Take at least three.
3 credits each
Electives Any 3 or 4 graduate level elective courses to complete 24 credits  

Masters of Business & Science (MBS) in Applied Computing: Course Descriptions.


Course Title Comments
Finance and Accounting (3 credits)
53:135:500 Managerial Economics (3) or Students must pick one of two
53:390:506 Financial Management
Marketing (3 credits)
53:630:508 Marketing Management Mandatory for all students
Communication and Leadership (3 credits)
53:135:503 Personal Leadership and Communication Skills (3) Mandatory for all students
Management of Science & Technology (3 credits)
53:620:513 Operations Management (3) Mandatory for all students
General Management Electives (3 credits)
  See Camden Course Listing for the MBS Business Curriculum Student selects 1 course
Ethics and Professionalism (1 credit)
16:137:500* Ethics for Science & Technology Management (1) Mandatory for all students
16:137:503 Colloquium in Professionalism for Science & Technology Management (0) Mandatory for all students
The capstone course is a project-based course covering the fundamentals of entrepreneurship, intrapreneurship, innovation commercialization, and intellectual property. Students are expected to work on team projects analyzing technology innovations and creating business plans. At least 3 of the core classes must be completed before the capstone course.
16:137:600* Science & Technology Management Capstone (3) Mandatory for all students
*For special permission numbers for the Rutgers-Camden business courses, please contact Joany McCracken at:
Phone: 856-225-6452 or 856-225-6218

Master’s of Business & Science Business Curriculum: Camden Course Listing and Descriptions

Graduation requirements

  • A minimum of 24 credits in the Applied Computing concentration and 19 credits of the business curriculum must be completed.
  • Grade requirements: To graduate, the student must achieve a cumulative GPA of 3.0, or better, in the required 24 graduate credits. No more than 6 credits with grades of C or C+ may be used in meeting the requirements of the MBS degree.

Transfer credits: Subject to approval by the Program Director, students may transfer up to 8 credits from other graduate Computer Science programs toward their MBS degree provided they satisfy the following conditions:

  1. The student has completed at least 12 credits with grades of B or better at the Graduate School in Rutgers-Camden.
  2. The courses transferred cannot include credits for a thesis, independent study, or research.
  3. The transferred credits have not been (and are not intended to be) counted towards any other degree.
  4. The courses transferred have been taken during the six years prior to the application for transfer credits.

How to apply

To apply and review admissions information such as application deadlines and where to mail supporting materials, please visit the Professional Science Master’s Program website.

Program contacts

Suneeta Ramaswami
Computer Science Graduate Program Director
Tel: (856) 225-6439

Department of Computer Science 322 BSB
227 Penn Street
Rutgers University – Camden
Camden, NJ 08102
Tel: (856) 225-6077 | Fax: (856) 225-6624