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The Graduate Program in Data Science (M.S.)

The data science program at Rutgers–Camden is interdisciplinary. Our primary departments are Mathematics and Computer Science with affiliated departments including, but not limited to, Public Policy and Prevention Science. We adopt key tools from traditional academic research such as machine learning, causal inference, data analytics, and research design.

A data sciences degree will help students in almost any level, field or occupation, including:

  • entry-level professionals;
  • currently employed data scientists looking to advance their careers or enhance their skill sets;
  • individuals in other fields seeking data analytics skills

Application Requirements

Official transcript showing a bachelor’s degree with a minimum GPA of 3.0
GRE not required, but recommended
At least two letters of recommendation, preferably from academic references
Personal statement (maximum two pages) about academic interests and career goals
For applicants whose native language is not English, an official TOEFL, IELTS, or Duolingo score report

Application Deadlines

Spring Enrollment – October 15

Fall Enrollment – March 15

Timetable

The MS program is designed to be completed in three to four semesters of full-time study, but may also be completed in five to six semesters of part-time study.

Graduation Requirements

  • Minimum of 30 credits to be completed, which must include either 3 Master’s capstone project credits or 3 Master’s thesis credits depending on the option 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/Project Requirements: The student must receive a grade of B or better.  

Funding and Tuition

We offer highly competitive scholarships of up to $10,000 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.