The undergraduate Data Science Certificate (DSC) 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.

DSC is offered by the Department of Information and Computer Sciences (ICS), in collaboration with the Hawaii Data Science Institute and other data-intensive departments at UH Manoa.

Requirements

Students must complete 18 credits of required and elective courses.

Required Courses (12 credits)

  1. ICS 235: Machine Learning Methods
  2. ICS 484: Data Visualization
  3. ICS 434: Data Science Fundamentals
  4. ICS 435: Machine Learning Fundamentals

To enroll in ICS 434 and 484 without the standard prerequisites, DSC students should request overrides from the instructors of those courses. Students may substitute required courses with additional elective courses if they demonstrate proficiency in the topics covered, at the discretion of the DSC Program Committee.

Electives Courses (6 credits)

  • ATMO/CEE/SUST 449 Climate Modeling, Data Analysis & Applications
  • ERTH 413 Introduction to Statistics and Data Analysis
  • BIOL 483/MBBE 483 Bioinformatics
  • PHYS 305 Computational Physics
  • MATH 372 Elementary Probability and Statistics or MATH 472 Statistical Inference. (Due to overlap, cannot use both.)
  • ECON 425 Introduction to Econometrics
  • ECON 427 Economic Forecasting
  • ICS 438 Big Data Analytics
  • ICS 422 Network Science Methodology

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

Prerequisites and Eligibility

  1. Applicants must have completed a calculus course that covers limits, derivatives, partial derivatives, and integrals.
  2. Applicants must have completed a programming course that covers basic data types, program control structure, and functions.
  3. Applicants must have a minimum GPA of 3.0.
  4. Applicants are ineligible for the certificate if they already have a B.S. in CS or Math with the Data Science specialization. Similarly, students with a certificate in Data Science from UH Hilo are ineligible.

How to Register

This program is open to: (1) unclassified students (professionals), and (2) undergraduate students in any department. Students should declare their intention to pursue the certificate as early as possible by registering here. This will allow us to add you to the program mailing lists for advising, special events, and employment opportunities. It will also help us better adapt class sizes to meet demand. 

Verification

When students are ready to graduate, they must file a Verification of Minor or Certificate form with the ICS Academic Advisor, Kenny Quibilan (kennydq@hawaii.edu).

Pathways

The following information outlines when the courses are typically taught and example pathways for students to complete the courses depending on their career goals.

Red: Required courses   Blue: Elective courses

FallSpring
ICS 235 Machine Learning Methods
ICS 484 Data Visualization


ICS 434 Data Science Fundamentals
ICS 435 Machine Learning Fundamentals


ICS 438 Big Data Analytics

ATMO/CEE/SUST 449 Climate Modeling, Data Analysis & Applications
BIOL483/MBBE483 Bioinformatics
PHYS 305 Computational Physics
MATH 372 Elementary Probability and Statistics

MATH 472 Statistical Inference. (cannot be in combo with MATH 372)
ECON 425 Introduction to Econometrics
ECON 427 Economic Forecasting
ICS 422 Network Science Methodology

Suggested Pathways

The following information outlines when the courses are typically taught and example pathways for students to complete the courses depending on their career goals.

Industry Data Scientist
FallSpring
ICS 235 Machine Learning Methods
ICS 484 Data Visualization
ICS 438 Big Data Analytics
ICS 434 Data Science Fundamentals
ICS 435
Machine Learning Fundamentals
MATH 472
Statistical Inference
Machine Learning Scientist
FallSpring
ICS 235 Machine Learning Methods
ICS 484 Data Visualization
ICS 438 Big Data Analytics
ICS 434 Data Science Fundamentals
ICS 435
Machine Learning Fundamentals

MATH 472
Statistical Inference
Bioinformatician
FallSpring
ICS 235 Machine Learning Methods
ICS 484
Data Visualization
MATH 372 Elementary Probability and Statistics
ICS 434 Data Science Fundamentals
ICS 435
Machine Learning Fundamentals
BIOL 483/MBBE 483
Bioinformatics

Contact Information

For assistance email us.

Press

Coming soon.