Chaminade University of Honolulu

School of Natural Sciences and Mathematics

Data Science, Analytics and Visualization

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B.S. Data Science, Analytics and Visualization

The Data Science, Analytics and Visualization program is about preparing graduates for the data revolution that is occurring in every sector of the economy. Data Science is a fastest growing sector in computer science with millions of emerging jobs. That’s why we developed Hawaii’s first B.S. Data Science Analytics and Visualization degree. An exceptional technical foundation is paired with an emphasis on data ethics and communication. Tailored programs allow you to specialize in business analytics, healthcare informatics, environmental analytics or S&T analytics. A graduate will be indispensable to a wide variety of employer organizations who need to leverage data to advance their missions. Your pre-graduation internships and real-world projects with big business, small business, agencies and community organizations will connect you to your future employers.

Upon completion of the undergraduate B.S. program in Data Science, Analytics & Visualization, students will be able to:

  1. Source, describe and curate large data sets (‘Big Data’) that may not be amenable to traditional hardware and software, and conventional statistical analysis including domain and file specific metadata and the tools built around alternatives to tabular relations that allow the use of multimodal data;
  2. Identify, describe and apply foundational mathematical and statistical concepts and operations, including the application of tools such as R, SQL and Python languages, that underlie data sourcing, management, analysis and interpretation;
  3. Develop and implement approaches for effective data translation, dissemination and communication between domains, stakeholders and the public;
  4. Identify and apply basic data modeling, predictive models and visualizations to support decision-making;
  5. Integrate an awareness of ethical issues and collective standards to positively influence the application of data science to service, justice and peace in working towards solutions for societal problems;
  6. Explain, plan and execute data science tasks within multidisciplinary teams;
  7. Execute a domain-specific capstone project addressing a stakeholder-generated use case.

View a sample 4-year plan: Data Science, Analytics and Visualization

In addition to the general education requirements, these are the pre-major and major requirements below:

Pre-Major Requirements
  • MA 210 Calculus I
  • MA 331 Intro to Probability and Statistics
  • CS 200 SQL and Relational Databases
  • CS 201 Programming in R
  • CS 202 Programming in Python
  • CS 203L Machine Learning and AI Lab
  • CS 204L Visualization and Analytics Lab
Major Requirements
  • DS 300 Ethics Seminar
  • DS 301 Community-engaged Computing
  • DS 302 Data Journalism
  • DS 303 Modeling for Prediction
  • DS 400 Bayesian Statistics
  • DS 401 Healthcare Information and Analytics
  • DS 402 Business Analytics, Marketing and Forecasting
  • DS 403 Digital Humanities
  • DS 495 Data Science Directed Research

Specialization courses (choose three):

  • DS 404 Geo-tagging and GIS
  • DS 405 Advanced R
  • DS 406 Advanced Python II
  • DS 407 Data Analytics and Visualization for Environmental Sciences
  • MA 401 Linear Algebra

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Faculty

Our faculty members are leaders in their fields. They believe in the power of personal experience—stressing mentorship, collaboration and project-based learning inside and outside the classroom.

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Accreditation

Chaminade University of Honolulu is accredited by WASC Senior College and University Commission.