Chaminade University of Honolulu

Transfer Pathways

B.S. Data Science Pathway

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AS Natural Sciences to BS Data Science Pathway

Earn your AS Natural Sciences degree from one of our partner institutions and transfer to Chaminade University to complete your BS Data Science—your General Education/Core Curriculum requirements will be waived.

Partner Institutions:

  • Hawai’i Community College
  • Honolulu Community College
  • Kapi’olani Community College
  • Kaua’i Community College
  • Leeward Community College
  • Maui College
  • Windward Community College

Complete your associate’s degree at one of our partner institutions.

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Apply to Chaminade University, we’ll waive your General Education courses.

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Earn your bachelor’s degree in two years, and start your career!

Admission Requirements

  • Completed Chaminade application
  • Official high school transcript (if applicable)
  • Official college transcript(s) from all post-secondary, accredited institution(s) attended
  • AS Natural Sciences degree from one of the following institutions: Hawai’i Community College, Honolulu Community College, Kapi’olani Community College, Kaua’i Community College, Leeward Community College, Maui College, or Windward Community College
  • As part of your associate’s degree, you must have completed with a C or better in the following courses:
  • Math 140 Precalculus: Trigonometry and Analytic Geometry (may also be taken during first semester at Chaminade University)

Visit the Transfer Admission Requirements and Deadlines webpage for more information.

BS Data Science Pathway Degree Two-Year Plan

Below is a sample two-year plan to complete your BS Data Science degree at Chaminade University.

15 CREDITS

  • DS 100 Introduction to Computation Systems and Their Application
  • DS 200 Data Ethics
  • CS 200 SQL and Relational Databases
  • CS 202 Programming in Python
  • MA 331 Intro to Probability & Statistics

16 CREDITS

  • DS 101 Data Structures, Data Analytics, and the Data Lifecycle
  • MA 210 Calculus I
  • CS 201 Programming in R
  • DS 300 Ethics Seminar
  • Domain Course

15 CREDITS

  • CS 204 Visualization and Analytics
  • DS 301 Community Engaged Computing
  • DS 303 Modeling for Prediction
  • DS 400 Bayesian Statistics
  • DS 401 Healthcare Informatics & Analytics
  • DS 404, DS 405, DS 406, DS 407 or MA401: Specialty Course

18 CREDITS

  • DS 302 Data Journalism
  • DS 403 Digital Humanities
  • DS 402, DS 406, DS 407 or MA401: Specialty Course
  • DS 402, DS 406, DS 407 or MA401: Specialty Course
  • DS 495 Data Science Directed Research

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If you have any questions or need assistance, please contact us at [email protected] or (808) 739-8340.