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Application Information

See if you are ready to join the MS Data Science program

Select the link below to take the self-assessment test. This will help you determine if you have the necessary pre-requisite skills to start the Data Science program:

MS Data Science Self-Assessment

To apply for the Master of Science in Data Science program:
1. Click Apply Now and go to the Engineering & Computer Science section.
2. Choose "Apply" for the Data Science program.

Admission Requirements

  • Bachelor's degree in any field
  • Must have coursework or experience in:
    - Linear algebra
    - Statistics
    - Programming in a high-level language (experience in R and Python preferred)

Application Requirements

  • Transcripts1
  • Two letters of recommendation
  • Resume
  • Statement of interest2

Neither the GRE nor the GMAT is required for admission to this program. 

Additional Information for International Applicants

  • Must have the U.S. equivalent of a 2.65 GPA to be eligible for admission to the program,
  • Must provide an official, course-by-course evaluation of their transcripts with an overall U.S. GPA equivalent from one of the agencies accepted by the University (see the full list here), and
  • Must provide official English proficiency test scores from either TOEFL or IELTS.

      Note: Course-by-course evalutions (and any other documents that are not directly loaded via GradCAS) should be sent to the following address:

      University of the Pacific
      Knoles Hall Second Floor, Room 207 B
      3601 Pacific Avenue
      Stockton, CA 95211-0110

1. An official set of transcripts from each institution you have attended is required as part of the application.

2. The statement of interest allows applicants to demonstrate their motivation, skills, and abilities that will contribute to their academic success in our program. While there is no specific format required for this statement, applicants are advised to give particular consideration to:

  • Academic credentials
  • Experience in the foundational concepts of:
  • Statistics
  • Linear Algebra
  • Computer programming (any language, but Python and R are preferred)
  • Commitment and personal stamina to undertake fast paced, intensive academic program
  • Enthusiasm for this particular course of study