Data Science, Undergraduate Certificate

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The Undergraduate Data Science (DS) Certificate program provides students and industry professionals with training in modern computational tools for manipulating, visualizing, and extracting insights from data. This programming-intensive program prepares students to work in the high-demand, lucrative field of data science.

The DS Certificate is offered by the Department of Information and Computer Sciences (ICS), in collaboration with the Hawaiʻi Data Science Institute and other data-intensive departments at UH Mānoa.

Prerequisites and Eligibility

Applicants must have completed a calculus course that covers limits, derivatives, partial derivatives, and integrals.
Applicants must have completed a programming course that covers basic data types, program control structure, and functions.
Applicants must have a minimum GPA of 3.0.
Applicants who already have a BS in Computer Science with the DS specialization or a BS in Mathematics with the DS specialization are ineligible for the certificate. Students with a certificate in Data Science from UH Hilo are similarly ineligible.

Requirements

Students must complete 18 credits of required and elective courses.

Required Courses (12 credits)

At the discretion of the DS Program Committee, students who demonstrate proficiency in the topics covered in the required courses may substitute those courses with elective courses.

ICS 235 - Machine Learning Methods Credits: 3
ICS 434 - Data Science Fundamentals Credits: 3
ICS 435 - Machine Learning Fundamentals Credits: 3
ICS 484 - Data Visualization Credits: 3

Elective Courses (6 credits)

Additional electives identified by students may be considered through a petitioning process, whose approval can be conducted in collaboration with the affected departments.

ATMO 449 - Climate Modeling, Data Analysis, and Applications Credits: 3
OR
CEE 449 - Climate Modeling, Data Analysis and Applications Credits: 3
OR
SUST 449 - Climate Modeling, Data Analysis and Applications Credits: 3
BIOL 483 - Introduction to Bioinformatics Topics for Biologists Credits: 3
OR
MBBE 483 - Introduction to Bioinformatics Topics for Biologists Credits: 3
PHYS 305 - Computational Physics Credits: 4
MATH 372 - Elementary Probability and Statistics Credits: 3
OR
MATH 472 - Statistical Inference Credits: 3 (Due to overlap, cannot use both)
ECON 425 - Introduction to Econometrics I: Data Exploration and Regression Analysis Credits: 3
ECON 427 - Introduction to Econometrics II: Prediction and Causal Inference Credits: 3
ICS 422 - Network Science Methodology Credits: 3
OR
DATA 422 - Network Science Methodology Credits: 3
ICS 438 - Big Data Analytics Credits: 3
OR
DATA 438 - Big Data Analytics Credits: 3